Add files using upload-large-folder tool

reproduction/benchmark/comparison_sheets.py

@@ -1,15 +1,13 @@
 from __future__ import annotations
 
 import json
+import math
 from pathlib import Path
 
 import numpy as np
 from PIL import Image, ImageDraw, ImageFont
 
 
-FORMAT_ORDER = ["bf16", "fp8_scaled", "int8_convrot", "mxfp8", "nvfp4"]
-
-
 def font(size: int):
     candidates = [Path("C:/Windows/Fonts/segoeui.ttf"), Path("C:/Windows/Fonts/arial.ttf")]
     for candidate in candidates:
@@ -22,18 +20,21 @@ def capture_image(results_dir: Path, run_id: str) -> Image.Image:
     return Image.open(results_dir / "captures" / run_id / "image.png").convert("RGB")
 
 
-def labeled_grid(images: list[Image.Image], labels: list[str], title: str, cell_size: int = 384) -> Image.Image:
-    header = 86
+def labeled_grid(images: list[Image.Image], labels: list[str], title: str, cell_size: int = 384, columns: int = 4) -> Image.Image:
+    header = 64
     title_height = 52
-    canvas = Image.new("RGB", (cell_size * len(images), title_height + header + cell_size), "#111111")
+    rows = math.ceil(len(images) / columns)
+    canvas = Image.new("RGB", (cell_size * columns, title_height + rows * (header + cell_size)), "#111111")
     draw = ImageDraw.Draw(canvas)
     draw.text((16, 12), title, fill="white", font=font(24))
     label_font = font(20)
     for index, (image, label) in enumerate(zip(images, labels)):
-        x = index * cell_size
-        draw.rectangle((x, title_height, x + cell_size, title_height + header), fill="#202020")
-        draw.text((x + 12, title_height + 27), label, fill="white", font=label_font)
-        canvas.paste(image.resize((cell_size, cell_size), Image.Resampling.LANCZOS), (x, title_height + header))
+        row, column = divmod(index, columns)
+        x = column * cell_size
+        y = title_height + row * (header + cell_size)
+        draw.rectangle((x, y, x + cell_size, y + header), fill="#202020")
+        draw.text((x + 12, y + 18), label, fill="white", font=label_font)
+        canvas.paste(image.resize((cell_size, cell_size), Image.Resampling.LANCZOS), (x, y + header))
     return canvas
 
 
@@ -74,19 +75,23 @@ def detail_regions(reference: np.ndarray, crop_size: int = 256, count: int = 3)
     ]
 
 
-def detail_sheet(images: list[Image.Image], labels: list[str], regions: list[tuple[int, int, int, int]], title: str, cell: int = 320) -> Image.Image:
+def detail_sheet(images: list[Image.Image], labels: list[str], regions: list[tuple[int, int, int, int]], title: str, cell: int = 320, columns: int = 4) -> Image.Image:
     title_height = 58
-    label_height = 48
-    canvas = Image.new("RGB", (cell * len(images), title_height + label_height + cell * len(regions)), "#111111")
+    label_height = 42
+    format_rows = math.ceil(len(images) / columns)
+    region_height = format_rows * (label_height + cell)
+    canvas = Image.new("RGB", (cell * columns, title_height + region_height * len(regions)), "#111111")
     draw = ImageDraw.Draw(canvas)
     draw.text((16, 14), title, fill="white", font=font(24))
-    for column, label in enumerate(labels):
-        draw.text((column * cell + 10, title_height + 12), label, fill="white", font=font(18))
-    for row, region in enumerate(regions):
-        for column, image in enumerate(images):
+    for region_index, region in enumerate(regions):
+        base_y = title_height + region_index * region_height
+        for index, (image, label) in enumerate(zip(images, labels)):
+            row, column = divmod(index, columns)
+            y = base_y + row * (label_height + cell)
+            draw.text((column * cell + 10, y + 10), label, fill="white", font=font(18))
             crop = image.crop(region).resize((cell, cell), Image.Resampling.NEAREST)
-            canvas.paste(crop, (column * cell, title_height + label_height + row * cell))
-        draw.text((8, title_height + label_height + row * cell + 8), f"detail {row + 1}", fill="#ffdf80", font=font(16), stroke_width=2, stroke_fill="#111111")
+            canvas.paste(crop, (column * cell, y + label_height))
+        draw.text((8, base_y + label_height + 8), f"detail {region_index + 1}", fill="#ffdf80", font=font(16), stroke_width=2, stroke_fill="#111111")
     return canvas
 
 
@@ -99,13 +104,14 @@ def generate(config: dict, results_dir: Path) -> None:
     detail_dir = sheets_dir / "details"
     for directory in (full_dir, diff_dir, detail_dir):
         directory.mkdir(parents=True, exist_ok=True)
-    labels = [config["formats"][format_id]["label"] for format_id in FORMAT_ORDER]
+    format_order = list(config["formats"])
+    labels = [config["formats"][format_id]["label"] for format_id in format_order]
     index = []
     contact_rows = []
 
     for prompt in config["prompts"]:
         for replicate in range(int(config["campaign"]["replicates"])):
-            run_ids = [f"{prompt['id']}__r{replicate}__{format_id}" for format_id in FORMAT_ORDER]
+            run_ids = [f"{prompt['id']}__r{replicate}__{format_id}" for format_id in format_order]
             images = [capture_image(results_dir, run_id) for run_id in run_ids]
             title = f"{prompt['id']} · replicate {replicate} �� seed {json.loads((results_dir / 'captures' / run_ids[0] / 'metadata.json').read_text(encoding='utf-8'))['output']['seed']}"
             full_path = full_dir / f"{prompt['id']}__r{replicate}.png"
@@ -137,16 +143,19 @@ def generate(config: dict, results_dir: Path) -> None:
     thumb = 192
     row_header = 180
     top = 62
-    contact = Image.new("RGB", (row_header + thumb * len(FORMAT_ORDER), top + thumb * len(contact_rows)), "#111111")
+    contact_columns = 4
+    contact_format_rows = math.ceil(len(format_order) / contact_columns)
+    prompt_block_height = thumb * contact_format_rows
+    contact = Image.new("RGB", (row_header + thumb * contact_columns, top + prompt_block_height * len(contact_rows)), "#111111")
     draw = ImageDraw.Draw(contact)
     draw.text((12, 14), "Krea 2 Turbo format contact sheet · replicate 0", fill="white", font=font(24))
     for row, (prompt_id, images) in enumerate(contact_rows):
-        y = top + row * thumb
-        draw.text((8, y + 76), prompt_id, fill="white", font=font(16))
-        for column, image in enumerate(images):
-            contact.paste(image.resize((thumb, thumb), Image.Resampling.LANCZOS), (row_header + column * thumb, y))
-    for column, label in enumerate(labels):
-        draw.text((row_header + column * thumb + 5, 40), label, fill="#ffdf80", font=font(14))
+        y = top + row * prompt_block_height
+        draw.text((8, y + prompt_block_height // 2 - 10), prompt_id, fill="white", font=font(16))
+        for format_index, image in enumerate(images):
+            format_row, column = divmod(format_index, contact_columns)
+            contact.paste(image.resize((thumb, thumb), Image.Resampling.LANCZOS), (row_header + column * thumb, y + format_row * thumb))
+            draw.text((row_header + column * thumb + 5, y + format_row * thumb + 5), labels[format_index], fill="#ffdf80", font=font(13), stroke_width=2, stroke_fill="#111111")
     contact.save(sheets_dir / "contact_sheet_replicate0.png", format="PNG", compress_level=4)
     (sheets_dir / "index.json").write_text(json.dumps(index, indent=2), encoding="utf-8")
     (sheets_dir / "complete.json").write_text(json.dumps({"complete": True, "groups": len(index)}, indent=2), encoding="utf-8")

reproduction/benchmark/config_base.example.json

@@ -0,0 +1,169 @@
+{
+  "schema_version": 1,
+  "benchmark_id": "krea2-format-benchmark-v1",
+  "paths": {
+    "portable_root": "<COMFYUI_PORTABLE_ROOT>",
+    "models_dir": "<KREA_MODEL_DIRECTORY>",
+    "results_dir": "results/krea2_formats_v1"
+  },
+  "server": {
+    "host": "127.0.0.1",
+    "port": 8190,
+    "startup_timeout_seconds": 180,
+    "prompt_timeout_seconds": 3600,
+    "telemetry_interval_seconds": 0.1,
+    "memory_mode": "default"
+  },
+  "integrity": {
+    "publisher_repository": "Comfy-Org/Krea-2",
+    "publisher_revision": "8038ce89b91b042141541ad0fa51b985ca262c5f",
+    "expected_sha256": {
+      "krea2_turbo_bf16.safetensors": "78bbf8f4165eda19cea3cb06c78089221932a39e2eed8af9da741f942c47ffb3",
+      "krea2_turbo_fp8_scaled.safetensors": "eb4dd8c612cfd10f64f25b057e6e6bbcb5737c94a7372177e456dbf7579502f1",
+      "krea2_turbo_int8_convrot.safetensors": "8e4eeda70dd5037ab1ba2bef6b417f9f901e26093117cf397f741fc1fdaaf3f1",
+      "krea2_turbo_mxfp8.safetensors": "4c09131a442c3a01e95f934b43c76c1e691b9f683694a7b68d6fc707d5ecfce3",
+      "krea2_turbo_nvfp4.safetensors": "61527003b2d537055494d01bc8efe51d6e86e64192ba23e3721a5647231fe394",
+      "qwen3vl_4b_bf16.safetensors": "36f3ff447ef59201722e8f9ce6020c9819fdcfba6aa2608c4e09b1c0ce114e34",
+      "qwen_image_vae.safetensors": "a70580f0213e67967ee9c95f05bb400e8fb08307e017a924bf3441223e023d1f"
+    }
+  },
+  "controls": {
+    "width": 1024,
+    "height": 1024,
+    "batch_size": 1,
+    "steps": 8,
+    "cfg": 1.0,
+    "sampler_name": "euler",
+    "scheduler": "simple",
+    "denoise": 1.0,
+    "text_encoder": "qwen3vl_4b_bf16.safetensors",
+    "clip_type": "krea2",
+    "clip_device": "default",
+    "vae": "qwen_image_vae.safetensors",
+    "negative_mode": "zero_positive_conditioning",
+    "prompt_rewriting": false,
+    "loras": []
+  },
+  "formats": {
+    "bf16": {
+      "label": "BF16",
+      "checkpoint": "krea2_turbo_bf16.safetensors"
+    },
+    "fp8_scaled": {
+      "label": "FP8 Scaled",
+      "checkpoint": "krea2_turbo_fp8_scaled.safetensors"
+    },
+    "int8_convrot": {
+      "label": "INT8 ConvRot",
+      "checkpoint": "krea2_turbo_int8_convrot.safetensors"
+    },
+    "mxfp8": {
+      "label": "MXFP8",
+      "checkpoint": "krea2_turbo_mxfp8.safetensors"
+    },
+    "nvfp4": {
+      "label": "NVFP4",
+      "checkpoint": "krea2_turbo_nvfp4.safetensors"
+    }
+  },
+  "campaign": {
+    "replicates": 2,
+    "format_order_seed": 20260712,
+    "unscored_warmups_per_format": 1,
+    "unscored_repeatability_runs_per_format": 2,
+    "capture_steps": true
+  },
+  "prompts": [
+    {
+      "id": "p01_portrait",
+      "category": "portrait_microdetail",
+      "text": "Ultra-realistic close-up editorial portrait of an elderly woman by a north-facing window, natural unretouched skin with visible pores and fine wrinkles, individual silver-gray hairs and eyelashes, wet catchlights in both eyes, a dark indigo wool coat with clearly visible fabric weave, soft neutral background bokeh, restrained color grading, high micro-contrast only on the face."
+    },
+    {
+      "id": "p02_hands_group",
+      "category": "anatomy_occlusion_counting",
+      "text": "Candid documentary photograph of exactly four adult friends seated around a small round wooden table, each person exchanging a different small object with another person, all eight hands fully visible, natural overlapping arms and fingers, ceramic cups and folded paper on the table, warm side lighting, realistic anatomy, medium-wide composition."
+    },
+    {
+      "id": "p03_package_text",
+      "category": "product_typography",
+      "expected_text": [
+        "NORTHSTAR LAB",
+        "SERIES 08",
+        "250 ML"
+      ],
+      "text": "Front-facing studio product photograph of a premium matte white beverage carton on a pale gray seamless background. The package has only three lines of crisp black printed text: ‘NORTHSTAR LAB’, ‘SERIES 08’, and ‘250 ml’. Add a thin cobalt-blue geometric border, a small silver cap, straight edges, subtle paper texture, and a soft contact shadow."
+    },
+    {
+      "id": "p04_storefront_text",
+      "category": "environment_typography_lowlight",
+      "expected_text": [
+        "OPEN 24 HOURS",
+        "CAFE LUMEN",
+        "7TH STREET"
+      ],
+      "text": "Rainy nighttime street photograph of a small corner cafe, viewed straight on through wet air and reflections. Three clearly readable signs say ‘OPEN 24 HOURS’, ‘CAFE LUMEN’, and ‘7TH STREET’. Deep blue shadows, warm amber windows, red neon reflections on asphalt, fine rain streaks, realistic perspective and restrained cinematic contrast."
+    },
+    {
+      "id": "p05_architecture",
+      "category": "geometry_repetition",
+      "text": "Perfectly symmetrical photograph of a contemporary museum interior in strict one-point perspective, long rows of repeating concrete columns, hair-thin black railings, large glass panels, precisely aligned pale stone floor tiles, a distant centered doorway, diffuse skylight, clean straight verticals, fine architectural detail from foreground to background."
+    },
+    {
+      "id": "p06_reflections",
+      "category": "specular_transparency",
+      "text": "Luxury studio still life of a polished chrome mechanical wristwatch beside a transparent rectangular perfume bottle on glossy black glass, tiny engraved numerals and gear details, controlled white strip reflections, realistic glass refraction and caustics, faint condensation, crisp edges, black background with smooth tonal falloff."
+    },
+    {
+      "id": "p07_foliage_bird",
+      "category": "high_frequency_natural",
+      "text": "Backlit wildlife photograph of a small kingfisher perched among dense wet foliage, individually resolved blue and orange feathers, leaf veins, tiny droplets, thin crossing branches and spider silk, layered depth separation, soft forest background, natural green color variation, sharp subject without oversharpening."
+    },
+    {
+      "id": "p08_fog_neon",
+      "category": "gradients_lowlight",
+      "text": "Empty foggy city street before dawn in monochromatic navy and cobalt blue, one distant magenta neon tube glowing through mist, extremely smooth sky and fog gradients, subtle shadow transitions, faint wet pavement reflections, preserved near-black detail, no crushed blacks, no visible banding, quiet minimalist composition."
+    },
+    {
+      "id": "p09_material_macro",
+      "category": "material_texture",
+      "text": "Museum-style macro material study arranged as five adjacent samples: coarse woven natural linen, brushed stainless steel, cracked celadon ceramic glaze, porous wet black stone, and translucent handmade paper. Raking side light reveals microtexture while every material remains clearly distinct and neutrally colored."
+    },
+    {
+      "id": "p10_vector_gradient",
+      "category": "flat_graphics_banding",
+      "text": "Minimalist Swiss-style vector poster with a warm ivory background, three perfectly aligned ultramarine circles, hair-thin black geometric construction lines, one large coral rectangle, and a perfectly smooth pale-yellow to orange gradient band. Precise spacing, clean flat fills, razor-sharp edges, no texture and no shadows."
+    },
+    {
+      "id": "p11_retro_anime",
+      "category": "line_art_stylized",
+      "text": "Single frame from a refined 1980s retro-anime film: a young mechanic adjusting a tiny radio with both hands, expressive face, thin confident ink outlines, intricate patterned jacket, limited teal cream and burgundy palette, cel shading, detailed fingers and radio controls, clean line intersections, subtle analog film grain."
+    },
+    {
+      "id": "p12_watercolor",
+      "category": "soft_stylized_gradients",
+      "text": "Delicate transparent watercolor landscape on cold-pressed cotton paper, pale dawn sky fading from cool gray-blue to warm peach, mist drifting between layered hills, translucent washes, granulating pigment, soft wet edges, sparse fine tree silhouettes and untouched white paper highlights."
+    },
+    {
+      "id": "p13_food",
+      "category": "commercial_complex_scene",
+      "text": "High-end commercial food photograph of handmade mushroom ravioli in glossy brown butter sauce, visible steam, tiny sage leaves, grated cheese, crumbs and pepper, a transparent water glass, polished fork and folded linen, warm window light, shallow depth of field, appetizing natural color and detailed highlights."
+    },
+    {
+      "id": "p14_spatial_counts",
+      "category": "spatial_reasoning_counting",
+      "text": "Surreal gallery installation containing exactly three red cubes beneath a clear glass arch, exactly two blue spheres behind the arch, and exactly one yellow cone in front, all six objects reflected in a shallow sheet of water, centered wide composition, neutral white room, physically consistent shadows and reflections."
+    },
+    {
+      "id": "p15_scientific_poster",
+      "category": "diagram_labels",
+      "expected_text": [
+        "AIR",
+        "WATER",
+        "ROOTS",
+        "LIGHT"
+      ],
+      "text": "Clean scientific cutaway poster of a compact greenhouse system on a white background, precise pipes, roots, vents and sunlight paths, four simple arrows with clearly readable uppercase labels ‘AIR’, ‘WATER’, ‘ROOTS’, and ‘LIGHT’, restrained green and blue palette, thin technical linework, balanced educational infographic layout."
+    }
+  ]
+}

reproduction/benchmark/config_extended.example.json

@@ -0,0 +1,59 @@
+{
+  "schema_version": 2,
+  "extends": "config.json",
+  "paths": {
+    "results_dir": "results/krea2_formats_v2_extended",
+    "base_results_dir": "results/krea2_formats_v1"
+  },
+  "integrity": {
+    "expected_sha256": {
+      "krea2_turbo_int4_convrot.safetensors": "4c74e8fc00d121aeb4f75cdf066b70d33f6a59e36f143b0bfd53d6467ffc13bd",
+      "krea2_turbo-Q8_0.gguf": "1fa2da08a7a708827c2100d0af41c8371d79efd9f7c5490c23ebc65408536490",
+      "krea2_turbo-Q4_K_M.gguf": "bc12f539de7a7a6ddf9bac17ec6e5bfecd42c3517190f491131d8464a1034b40"
+    }
+  },
+  "formats": {
+    "int4_convrot": {
+      "label": "INT4 ConvRot W4A4",
+      "checkpoint": "krea2_turbo_int4_convrot.safetensors",
+      "loader": "unet",
+      "source": {
+        "repository": "Winnougan/INT4-Convrot-Comfy-Models",
+        "revision": "f01ad8da8c799f1da5ffe92f82e2a75a51dd7447",
+        "url": "https://huggingface.co/Winnougan/INT4-Convrot-Comfy-Models/resolve/main/krea2_turbo-int4_convrot.safetensors"
+      }
+    },
+    "gguf_q8_0": {
+      "label": "GGUF Q8_0",
+      "checkpoint": "krea2_turbo-Q8_0.gguf",
+      "loader": "gguf",
+      "source": {
+        "repository": "vantagewithai/Krea-2-Turbo-GGUF",
+        "revision": "3ddc3b8a70209d9da1e327701ab96b15bafc4d28",
+        "url": "https://huggingface.co/vantagewithai/Krea-2-Turbo-GGUF/resolve/main/krea2_turbo-Q8_0.gguf"
+      }
+    },
+    "gguf_q4_k_m": {
+      "label": "GGUF Q4_K_M",
+      "checkpoint": "krea2_turbo-Q4_K_M.gguf",
+      "loader": "gguf",
+      "source": {
+        "repository": "vantagewithai/Krea-2-Turbo-GGUF",
+        "revision": "6658a30c67045ec72799333eb42f3bf10b3d107a",
+        "url": "https://huggingface.co/vantagewithai/Krea-2-Turbo-GGUF/resolve/main/krea2_turbo-Q4_K_M.gguf"
+      }
+    }
+  },
+  "campaign": {
+    "active_formats": [
+      "int4_convrot",
+      "gguf_q8_0",
+      "gguf_q4_k_m"
+    ],
+    "bridge_formats": [
+      "bf16",
+      "int8_convrot"
+    ],
+    "bridge_repeats": 5
+  }
+}

reproduction/benchmark/krea_benchmark.py

@@ -64,6 +64,32 @@ def sha256_json(value: Any) -> str:
     return hashlib.sha256(raw).hexdigest()
 
 
+def deep_merge(base: dict[str, Any], overlay: dict[str, Any]) -> dict[str, Any]:
+    merged = dict(base)
+    for key, value in overlay.items():
+        if key == "extends":
+            continue
+        if isinstance(value, dict) and isinstance(merged.get(key), dict):
+            merged[key] = deep_merge(merged[key], value)
+        else:
+            merged[key] = value
+    return merged
+
+
+def read_configuration(path: Path, seen: set[Path] | None = None) -> tuple[dict[str, Any], list[Path]]:
+    resolved = path.resolve()
+    seen = set() if seen is None else seen
+    if resolved in seen:
+        raise ValueError(f"Configuration inheritance cycle: {resolved}")
+    seen.add(resolved)
+    raw = json.loads(resolved.read_text(encoding="utf-8"))
+    parent_name = raw.get("extends")
+    if not parent_name:
+        return raw, [resolved]
+    parent, sources = read_configuration((resolved.parent / parent_name).resolve(), seen)
+    return deep_merge(parent, raw), sources + [resolved]
+
+
 def run_command(command: list[str], cwd: Path | None = None, timeout: int = 60) -> dict[str, Any]:
     started = time.time()
     completed = subprocess.run(command, cwd=cwd, capture_output=True, text=True, encoding="utf-8", errors="replace", timeout=timeout)
@@ -77,19 +103,34 @@ def run_command(command: list[str], cwd: Path | None = None, timeout: int = 60)
 
 
 def load_configuration(path: Path) -> dict[str, Any]:
-    config = json.loads(path.read_text(encoding="utf-8"))
-    if config.get("schema_version") != 1:
+    config, sources = read_configuration(path)
+    if config.get("schema_version") not in {1, 2}:
         raise ValueError(f"Unsupported configuration schema: {config.get('schema_version')}")
     base = path.resolve().parent
     resolved = dict(config)
     resolved["_config_path"] = str(path.resolve())
-    resolved["_config_sha256"] = sha256_file(path)
+    resolved["_config_sources"] = [str(source) for source in sources]
+    resolved["_config_sha256"] = sha256_file(path) if len(sources) == 1 else sha256_json(config)
     resolved["_portable_root"] = str((base / config["paths"]["portable_root"]).resolve())
     resolved["_models_dir"] = str((base / config["paths"]["models_dir"]).resolve())
     resolved["_results_dir"] = str((base / config["paths"]["results_dir"]).resolve())
+    if config["paths"].get("base_results_dir"):
+        resolved["_base_results_dir"] = str((base / config["paths"]["base_results_dir"]).resolve())
     return resolved
 
 
+def active_formats(config: dict[str, Any]) -> list[str]:
+    selected = list(config["campaign"].get("active_formats", config["formats"]))
+    unknown = [format_id for format_id in selected if format_id not in config["formats"]]
+    if unknown:
+        raise ValueError(f"Unknown active formats: {unknown}")
+    return selected
+
+
+def expected_scored_runs(config: dict[str, Any]) -> int:
+    return len(config["prompts"]) * int(config["campaign"]["replicates"]) * len(config["formats"])
+
+
 def benchmark_seed(benchmark_id: str, prompt_id: str, replicate: int) -> int:
     value = f"{benchmark_id}|{prompt_id}|{replicate}".encode("utf-8")
     return int.from_bytes(hashlib.sha256(value).digest()[:8], "big") & 0x7FFFFFFFFFFFFFFF
@@ -326,7 +367,17 @@ def build_workflow(config: dict[str, Any], format_id: str, prompt: dict[str, str
     workflow = json.loads(API_WORKFLOW_PATH.read_text(encoding="utf-8"))
     controls = config["controls"]
     seed = benchmark_seed(config["benchmark_id"], prompt["id"], replicate)
-    workflow["1"]["inputs"].update({"unet_name": config["formats"][format_id]["checkpoint"], "weight_dtype": "default"})
+    format_config = config["formats"][format_id]
+    if format_config.get("loader", "unet") == "gguf":
+        workflow["1"] = {
+            "class_type": "UnetLoaderGGUF",
+            "inputs": {"unet_name": format_config["checkpoint"]},
+        }
+    else:
+        workflow["1"] = {
+            "class_type": "UNETLoader",
+            "inputs": {"unet_name": format_config["checkpoint"], "weight_dtype": "default"},
+        }
     workflow["2"]["inputs"].update(
         {
             "clip_name": controls["text_encoder"],
@@ -385,6 +436,31 @@ def inspect_safetensors(path: Path) -> dict[str, Any]:
         }
 
 
+def inspect_gguf(path: Path) -> dict[str, Any]:
+    import gguf
+
+    reader = gguf.GGUFReader(str(path), mode="r")
+    qtypes = Counter(getattr(tensor.tensor_type, "name", str(tensor.tensor_type)) for tensor in reader.tensors)
+    metadata = {}
+    for key in ("general.architecture", "general.name", "general.description", "general.file_type", "general.quantization_version"):
+        field = reader.get_field(key)
+        if field is None:
+            continue
+        try:
+            part = field.parts[field.data[-1]]
+            metadata[key] = part.decode("utf-8") if isinstance(part, (bytes, bytearray)) else part.item() if hasattr(part, "item") else str(part)
+        except Exception:
+            metadata[key] = "unreadable"
+    return {
+        "tensor_count": len(reader.tensors),
+        "quantization_type_counts": dict(sorted(qtypes.items())),
+        "metadata": metadata,
+        "metadata_field_count": len(reader.fields),
+        "original_shape_fields": sum(key.startswith("comfy.gguf.orig_shape.") for key in reader.fields),
+        "first_tensor_keys": [tensor.name for tensor in reader.tensors[:10]],
+    }
+
+
 def collect_manifest(config: dict[str, Any], skip_hashes: bool) -> dict[str, Any]:
     import importlib.metadata
 
@@ -402,8 +478,15 @@ def collect_manifest(config: dict[str, Any], skip_hashes: bool) -> dict[str, Any
             "path": str(path),
             "bytes": path.stat().st_size,
             "gib": path.stat().st_size / (1024 ** 3),
-            "safetensors": inspect_safetensors(path),
+            "file_format": path.suffix.lower().lstrip("."),
         }
+        if path.suffix.lower() == ".gguf":
+            entry["gguf"] = inspect_gguf(path)
+        else:
+            entry["safetensors"] = inspect_safetensors(path)
+        matching_formats = [item for item in config["formats"].values() if item["checkpoint"] == name]
+        if matching_formats and matching_formats[0].get("source"):
+            entry["source"] = matching_formats[0]["source"]
         if not skip_hashes:
             print(f"Hashing {name}...", flush=True)
             entry["sha256"] = sha256_file(path)
@@ -426,7 +509,7 @@ def collect_manifest(config: dict[str, Any], skip_hashes: bool) -> dict[str, Any
         [
             str(python),
             "-c",
-            "import json,torch,importlib.metadata as m; print(json.dumps({'python':__import__('sys').version,'torch':torch.__version__,'cuda':torch.version.cuda,'device':torch.cuda.get_device_name(0),'capability':torch.cuda.get_device_capability(0),'comfy_kitchen':m.version('comfy-kitchen'),'transformers':m.version('transformers'),'numpy':m.version('numpy')}))",
+            "import json,torch,importlib.metadata as m,importlib.util as u; print(json.dumps({'python':__import__('sys').version,'torch':torch.__version__,'cuda':torch.version.cuda,'device':torch.cuda.get_device_name(0),'capability':torch.cuda.get_device_capability(0),'comfy_kitchen':m.version('comfy-kitchen'),'gguf':m.version('gguf') if u.find_spec('gguf') else None,'transformers':m.version('transformers'),'numpy':m.version('numpy')}))",
         ],
         timeout=60,
     )
@@ -437,6 +520,15 @@ def collect_manifest(config: dict[str, Any], skip_hashes: bool) -> dict[str, Any
             name = distribution.metadata.get("Name")
             if name:
                 vendor_versions[name] = distribution.version
+    gguf_node_dir = comfy / "custom_nodes" / "ComfyUI-GGUF"
+    gguf_node = run_command(["git", "-C", str(gguf_node_dir), "rev-parse", "HEAD"], timeout=30) if gguf_node_dir.is_dir() else None
+    lineage = None
+    if config.get("_base_results_dir"):
+        base_manifest = Path(config["_base_results_dir"]) / "manifest.json"
+        lineage = {
+            "base_results_dir": config["_base_results_dir"],
+            "base_manifest_sha256": sha256_file(base_manifest) if base_manifest.is_file() else None,
+        }
     return {
         "benchmark_id": config["benchmark_id"],
         "created_unix": time.time(),
@@ -447,12 +539,84 @@ def collect_manifest(config: dict[str, Any], skip_hashes: bool) -> dict[str, Any
         "comfy_git": git,
         "gpu": gpu,
         "runtime": runtime,
+        "comfyui_gguf": gguf_node,
+        "lineage": lineage,
         "analysis_vendor_versions": dict(sorted(vendor_versions.items(), key=lambda item: item[0].lower())),
         "disk": {"total_bytes": disk.total, "used_bytes": disk.used, "free_bytes": disk.free},
         "models": models,
     }
 
 
+def import_base_results(config: dict[str, Any], results_dir: Path) -> None:
+    if not config.get("_base_results_dir"):
+        return
+    base_dir = Path(config["_base_results_dir"])
+    marker = results_dir / "extension_import.json"
+    base_manifest_path = base_dir / "manifest.json"
+    if not base_manifest_path.is_file():
+        raise FileNotFoundError(base_manifest_path)
+    base_manifest_hash = sha256_file(base_manifest_path)
+    if marker.is_file():
+        recorded = json.loads(marker.read_text(encoding="utf-8"))
+        if recorded.get("base_manifest_sha256") != base_manifest_hash:
+            raise RuntimeError("The base benchmark manifest changed after the extension import")
+        return
+    base_manifest = json.loads(base_manifest_path.read_text(encoding="utf-8"))
+    base_config = base_manifest["configuration"]
+    for key in ("benchmark_id", "controls", "prompts"):
+        if base_config.get(key) != config.get(key):
+            raise RuntimeError(f"Cannot extend results: base {key} differs from the extension configuration")
+    imported_formats = list(base_config["formats"])
+    if any(format_id not in config["formats"] for format_id in imported_formats):
+        raise RuntimeError("The extension configuration omits a base format")
+
+    linked_files = 0
+    source_captures = base_dir / "captures"
+    for source in source_captures.rglob("*"):
+        if not source.is_file():
+            continue
+        relative = source.relative_to(source_captures)
+        destination = results_dir / "captures" / relative
+        destination.parent.mkdir(parents=True, exist_ok=True)
+        if destination.exists():
+            if destination.stat().st_size != source.stat().st_size:
+                raise RuntimeError(f"Imported capture size mismatch: {destination}")
+            continue
+        os.link(source, destination)
+        linked_files += 1
+
+    copied_files = 0
+    for directory_name in ("telemetry", "advanced_metric_cache", "validation"):
+        source_root = base_dir / directory_name
+        if not source_root.is_dir():
+            continue
+        for source in source_root.rglob("*"):
+            if not source.is_file():
+                continue
+            destination = results_dir / directory_name / source.relative_to(source_root)
+            destination.parent.mkdir(parents=True, exist_ok=True)
+            if not destination.exists():
+                shutil.copy2(source, destination)
+                copied_files += 1
+    source_runs = base_dir / "runs.jsonl"
+    destination_runs = results_dir / "runs.jsonl"
+    if source_runs.is_file() and not destination_runs.exists():
+        shutil.copy2(source_runs, destination_runs)
+        copied_files += 1
+    atomic_json(
+        marker,
+        {
+            "complete": True,
+            "base_results_dir": str(base_dir),
+            "base_manifest_sha256": base_manifest_hash,
+            "imported_formats": imported_formats,
+            "hardlinked_capture_files": linked_files,
+            "copied_support_files": copied_files,
+            "completed_unix": time.time(),
+        },
+    )
+
+
 def completed_capture(results_dir: Path, run_id: str) -> dict[str, Any] | None:
     directory = results_dir / "captures" / run_id
     metadata_path = directory / "metadata.json"
@@ -528,7 +692,7 @@ def write_run_matrix(config: dict[str, Any], results_dir: Path) -> list[dict[str
 
 def run_preflight(config: dict[str, Any], results_dir: Path, capture_steps: bool) -> None:
     prompt = config["prompts"][0]
-    for format_id in config["formats"]:
+    for format_id in active_formats(config):
         print(f"Preflight: {format_id}", flush=True)
         server = ComfyServer(config, f"preflight_{format_id}", results_dir)
         try:
@@ -561,9 +725,36 @@ def run_campaign(config: dict[str, Any], results_dir: Path, capture_steps: bool)
     preflight_path = results_dir / "preflight.json"
     if not preflight_path.is_file() or not json.loads(preflight_path.read_text(encoding="utf-8")).get("passed"):
         raise RuntimeError("Preflight must pass before the scored generation campaign")
-    format_order = list(config["formats"])
+    bridge_formats = list(config["campaign"].get("bridge_formats", []))
+    bridge_repeats = int(config["campaign"].get("bridge_repeats", 0))
+    bridge_marker = results_dir / "bridge_complete.json"
+    if bridge_formats and bridge_repeats and not bridge_marker.is_file():
+        first_prompt = config["prompts"][0]
+        bridge_rows = []
+        for format_id in bridge_formats:
+            server = ComfyServer(config, f"bridge_{format_id}", results_dir)
+            try:
+                server.start()
+                for repeat in range(bridge_repeats):
+                    record = run_one(
+                        server,
+                        config,
+                        format_id,
+                        first_prompt,
+                        0,
+                        f"bridge__{format_id}__{repeat}",
+                        scored=False,
+                        capture_steps=False,
+                        phase="bridge",
+                    )
+                    bridge_rows.append({"format_id": format_id, "repeat": repeat, "sampling_seconds": record["metadata"]["sampling"]["duration_seconds"]})
+            finally:
+                server.stop()
+        atomic_json(bridge_marker, {"complete": True, "rows": bridge_rows, "completed_unix": time.time()})
+
+    format_order = active_formats(config)
     random.Random(int(config["campaign"]["format_order_seed"])).shuffle(format_order)
-    atomic_json(results_dir / "format_order.json", format_order)
+    atomic_json(results_dir / "format_order.json", {"active_extension_order": format_order})
     first_prompt = config["prompts"][0]
     for format_id in format_order:
         print(f"Campaign format: {format_id}", flush=True)
@@ -613,7 +804,15 @@ def run_campaign(config: dict[str, Any], results_dir: Path, capture_steps: bool)
                     missing.append(run_id)
     if missing:
         raise RuntimeError(f"Campaign incomplete; missing {len(missing)} captures: {missing[:10]}")
-    atomic_json(results_dir / "campaign_complete.json", {"passed": True, "completed_unix": time.time(), "scored_runs": 150})
+    atomic_json(
+        results_dir / "campaign_complete.json",
+        {
+            "passed": True,
+            "completed_unix": time.time(),
+            "scored_runs": expected_scored_runs(config),
+            "new_scored_runs": len(config["prompts"]) * int(config["campaign"]["replicates"]) * len(active_formats(config)),
+        },
+    )
 
 
 def ensure_results(config: dict[str, Any], skip_hashes: bool) -> Path:
@@ -627,6 +826,7 @@ def ensure_results(config: dict[str, Any], skip_hashes: bool) -> Path:
     else:
         atomic_json(manifest_path, collect_manifest(config, skip_hashes=skip_hashes))
     write_run_matrix(config, results_dir)
+    import_base_results(config, results_dir)
     return results_dir
 
 

reproduction/benchmark/performance_analysis.py

@@ -12,6 +12,10 @@ import numpy as np
 import analysis_core
 
 
+def expected_scored_runs(config: dict[str, Any]) -> int:
+    return len(config["prompts"]) * int(config["campaign"]["replicates"]) * len(config["formats"])
+
+
 def number(value: str) -> float:
     value = value.strip()
     return float(value) if value not in {"", "N/A", "[N/A]"} else float("nan")
@@ -110,8 +114,9 @@ def analyze(config: dict[str, Any], results_dir: Path) -> None:
                     **system_summary,
                 }
             )
-    if len(output) != 150:
-        raise RuntimeError(f"Expected 150 scored performance records, found {len(output)}")
+    expected = expected_scored_runs(config)
+    if len(output) != expected:
+        raise RuntimeError(f"Expected {expected} scored performance records, found {len(output)}")
     analysis_core.write_csv(results_dir / "metrics" / "performance_runs.csv", output)
     summary = []
     numeric = [key for key, value in output[0].items() if isinstance(value, (int, float)) and key != "replicate"]
@@ -135,3 +140,41 @@ def analyze(config: dict[str, Any], results_dir: Path) -> None:
                     }
                 )
     analysis_core.write_csv(results_dir / "metrics" / "performance_summary.csv", summary)
+
+    bridge_marker = results_dir / "bridge_complete.json"
+    base_results_dir = Path(config.get("_base_results_dir", "")) if config.get("_base_results_dir") else None
+    if bridge_marker.is_file() and base_results_dir is not None:
+        bridge = json.loads(bridge_marker.read_text(encoding="utf-8"))["rows"]
+        base_summary_path = base_results_dir / "metrics" / "performance_summary.csv"
+        with base_summary_path.open("r", encoding="utf-8", newline="") as stream:
+            base_summary = list(csv.DictReader(stream))
+        bridge_rows = []
+        for format_id in config["campaign"].get("bridge_formats", []):
+            current = np.array([float(row["sampling_seconds"]) for row in bridge if row["format_id"] == format_id], dtype=np.float64)
+            base_row = next(row for row in base_summary if row["format_id"] == format_id and row["metric"] == "sampling_seconds")
+            base_median = float(base_row["median"])
+            current_median = float(np.median(current))
+            drift = current_median / base_median - 1.0
+            bridge_rows.append(
+                {
+                    "format_id": format_id,
+                    "base_session_median_seconds": base_median,
+                    "extension_session_median_seconds": current_median,
+                    "relative_drift": drift,
+                    "absolute_drift_percent": abs(drift) * 100.0,
+                    "within_5_percent": abs(drift) < 0.05,
+                    "extension_repeats": len(current),
+                }
+            )
+        analysis_core.write_csv(results_dir / "metrics" / "performance_bridge.csv", bridge_rows)
+        (results_dir / "metrics" / "performance_bridge.json").write_text(
+            json.dumps(
+                {
+                    "direct_cross_session_comparison_allowed": all(bool(row["within_5_percent"]) for row in bridge_rows),
+                    "threshold_percent": 5.0,
+                    "rows": bridge_rows,
+                },
+                indent=2,
+            ),
+            encoding="utf-8",
+        )

reproduction/benchmark/report_generator.py

@@ -38,6 +38,8 @@ def markdown_table(headers: list[str], rows: list[list[Any]]) -> str:
 
 
 def generate(config: dict[str, Any], results_dir: Path) -> None:
+    config_name = Path(config["_config_path"]).name
+    config_arg = f" -Config .\\{config_name}" if config_name != "config.json" else ""
     required = [
         results_dir / "campaign_complete.json",
         results_dir / "metrics" / "weight_summary.json",
@@ -60,6 +62,10 @@ def generate(config: dict[str, Any], results_dir: Path) -> None:
     format_ids = list(config["formats"])
     quantized = [format_id for format_id in format_ids if format_id != "bf16"]
     labels = {format_id: config["formats"][format_id]["label"] for format_id in format_ids}
+    scored_runs = len(config["prompts"]) * int(config["campaign"]["replicates"]) * len(format_ids)
+    pairwise_comparisons = len(quantized) * (len(quantized) - 1) // 2
+    bridge_path = results_dir / "metrics" / "performance_bridge.json"
+    bridge = json.loads(bridge_path.read_text(encoding="utf-8")) if bridge_path.is_file() else None
 
     lpips_ranking = sorted(quantized, key=lambda format_id: value(advanced, format_id, "lpips_alex"))
     best_quantized = lpips_ranking[0]
@@ -87,6 +93,8 @@ def generate(config: dict[str, Any], results_dir: Path) -> None:
         f"- **Primary-endpoint separation from the next quantized format:** {'statistically separated after Holm correction' if separated else 'not statistically separated at α=0.05; treat the numerical ordering as a near-tie'}.",
         f"- **Smallest checkpoint:** {labels[smallest]}.",
         "- **Ada performance warning:** MXFP8 and NVFP4 use fallback/dequantized matrix multiplication on this SM 8.9 GPU; their recorded speed must not be projected to Blackwell hardware.",
+        "- **INT4 execution note:** ConvRot W4A4 is eligible for the native SM 8.x signed-INT4 MMA path in this comfy-kitchen runtime.",
+        "- **GGUF execution note:** Q8_0 and Q4_K_M use the pinned ComfyUI-GGUF loader and its on-demand dequantized matrix-multiplication path, not ComfyUI's native safetensors quantization layouts.",
         "- Automated results establish original-model fidelity, prompt alignment, and measurable artifact behavior. They do not establish universal human aesthetic preference.",
         "",
         "### Decision table",
@@ -109,6 +117,28 @@ def generate(config: dict[str, Any], results_dir: Path) -> None:
                 fmt(value(performance, format_id, "gpu_energy_joules"), 1),
             ]
         )
+    extension_section: list[str] = []
+    extension_ids = list(config.get("campaign", {}).get("active_formats", []))
+    if set(extension_ids) == {"int4_convrot", "gguf_q8_0", "gguf_q4_k_m"}:
+        int4_size = manifest["models"][config["formats"]["int4_convrot"]["checkpoint"]]["gib"]
+        q4_size = manifest["models"][config["formats"]["gguf_q4_k_m"]["checkpoint"]]["gib"]
+        q8_size = manifest["models"][config["formats"]["gguf_q8_0"]["checkpoint"]]["gib"]
+        int4_time = value(performance, "int4_convrot", "sampling_seconds")
+        q4_time = value(performance, "gguf_q4_k_m", "sampling_seconds")
+        q8_time = value(performance, "gguf_q8_0", "sampling_seconds")
+        int4_lpips = value(advanced, "int4_convrot", "lpips_alex")
+        q4_lpips = value(advanced, "gguf_q4_k_m", "lpips_alex")
+        q8_lpips = value(advanced, "gguf_q8_0", "lpips_alex")
+        extension_section = [
+            "## Three-format extension conclusion",
+            "",
+            f"- **Best fidelity among the three additions: GGUF Q8_0.** It records LPIPS {q8_lpips:.6f}, DISTS {value(advanced, 'gguf_q8_0', 'dists'):.6f}, DINO cosine {value(advanced, 'gguf_q8_0', 'dinov2_large_image_cosine_to_bf16'):.6f}, and {weight['gguf_q8_0']['snr_db']:.2f} dB reconstructed-weight SNR. It is also effectively tied with INT8 ConvRot on the primary endpoint (Holm-adjusted permutation p={float(relevant_pair['permutation_p_holm']):.4f}), while leading INT8 on DISTS, DINO cosine, and weight SNR.",
+            f"- **Best minimum-size/speed option among the three: INT4 ConvRot W4A4.** It is {int4_size:.3f} GiB and sampled in {int4_time:.3f} s on this RTX 4060 Ti, but it has the largest quality loss: LPIPS {int4_lpips:.6f}, final-latent relative L2 {value(core, 'int4_convrot', 'final_latent_relative_l2'):.6f}, and {weight['int4_convrot']['snr_db']:.2f} dB weight SNR.",
+            f"- **Storage-quality compromise: GGUF Q4_K_M.** At {q4_size:.3f} GiB it is only {(q4_size / int4_size - 1.0) * 100.0:.1f}% larger than INT4 ConvRot, while reducing LPIPS by {(1.0 - q4_lpips / int4_lpips) * 100.0:.1f}%. Its {q4_time:.3f} s sampling time is {q4_time / int4_time:.2f}× INT4's time because this Ada test uses ComfyUI-GGUF's dequantized execution path.",
+            f"- **Q8_0 costs size and Ada runtime for fidelity.** Its {q8_size:.3f} GiB checkpoint is {q8_size / int4_size:.2f}× the INT4 file and its {q8_time:.3f} s sampling time is {q8_time / int4_time:.2f}× INT4's, but it preserves the BF16 result far more closely on every paired fidelity endpoint.",
+            "- The three extension formats ran in the same session, so their timing comparison is direct. Exact timing comparisons against the original five-format session remain caveated by the bridge test.",
+            "",
+        ]
     lines.extend(
         [
             markdown_table(
@@ -118,6 +148,7 @@ def generate(config: dict[str, Any], results_dir: Path) -> None:
             "",
             "The decision table is multidimensional by design. No weighted composite score is used.",
             "",
+            *extension_section,
             "## Test system and immutable controls",
             "",
             f"- GPU: `{gpu}`",
@@ -128,7 +159,7 @@ def generate(config: dict[str, Any], results_dir: Path) -> None:
             f"- Sampler: {config['controls']['sampler_name']}; scheduler: {config['controls']['scheduler']}; steps: {config['controls']['steps']}; CFG: {config['controls']['cfg']}; denoise: {config['controls']['denoise']}",
             f"- Shared text encoder: `{config['controls']['text_encoder']}`; shared VAE: `{config['controls']['vae']}`",
             "- Negative conditioning is a zeroed copy of positive conditioning. Prompt rewriting, LoRAs, previews, upscaling, and post-processing are disabled.",
-            "- Each prompt/seed pair uses the same initial-noise tensor SHA-256 across all five formats.",
+            f"- Each prompt/seed pair uses the same initial-noise tensor SHA-256 across all {len(format_ids)} formats.",
             "",
             "## Checkpoint structure",
             "",
@@ -138,21 +169,31 @@ def generate(config: dict[str, Any], results_dir: Path) -> None:
     for format_id in format_ids:
         checkpoint = config["formats"][format_id]["checkpoint"]
         model = manifest["models"][checkpoint]
-        safetensors = model["safetensors"]
+        if model["file_format"] == "gguf":
+            structure = model["gguf"]
+            tensor_count = structure["tensor_count"]
+            dtype_counts = "<br>".join(f"{key}: {count}" for key, count in structure["quantization_type_counts"].items())
+            metadata_keys = ", ".join(structure["metadata"].keys()) or "none"
+        else:
+            structure = model["safetensors"]
+            tensor_count = structure["tensor_count"]
+            dtype_counts = "<br>".join(f"{key}: {count}" for key, count in structure["dtype_tensor_counts"].items())
+            metadata_keys = ", ".join(structure["metadata_keys"]) or "none"
         checkpoint_rows.append(
             [
                 labels[format_id],
                 checkpoint,
                 str(model.get("sha256", "hash skipped")),
                 fmt(model["gib"], 3),
-                safetensors["tensor_count"],
-                "<br>".join(f"{key}: {count}" for key, count in safetensors["dtype_tensor_counts"].items()),
-                ", ".join(safetensors["metadata_keys"]) or "none",
+                config["formats"][format_id].get("loader", "unet"),
+                tensor_count,
+                dtype_counts,
+                metadata_keys,
             ]
         )
     lines.extend(
         [
-            markdown_table(["Format", "File", "SHA-256", "GiB", "Tensors", "Stored dtypes", "Metadata"], checkpoint_rows),
+            markdown_table(["Format", "File", "SHA-256", "GiB", "Loader", "Tensors", "Stored dtypes/qtypes", "Metadata"], checkpoint_rows),
             "",
             "### What the formats actually do",
             "",
@@ -161,6 +202,9 @@ def generate(config: dict[str, Any], results_dir: Path) -> None:
             "- **INT8 ConvRot:** 224 row-wise INT8 linear weights with group-size-256 online/offline Hadamard rotation. Sensitive input/output, conditioning, and text-fusion components remain higher precision.",
             "- **MXFP8:** E4M3 values with E8M0 power-of-two block scales over 32-element blocks. It marks 256 linear layers; native fast multiplication requires SM 10.0 in this runtime.",
             "- **NVFP4:** packed 4-bit floating-point values with per-tensor and 16-element block scales. It marks 256 linear layers; native fast multiplication likewise requires SM 10.0.",
+            "- **INT4 ConvRot W4A4:** 256 packed signed-INT4 linear weights with FP32 scales, ConvRot group size 256, quantization group size 64, and 174 BF16 tensors. ComfyUI 0.27 loads it through the native diffusion-model loader.",
+            "- **GGUF Q8_0:** third-party GGUF representation loaded by ComfyUI-GGUF. Its exact tensor qtype distribution is recorded in the manifest and its dequantized logical weights are audited against BF16.",
+            "- **GGUF Q4_K_M:** mixed K-quant GGUF representation using the same pinned loader. File size is not treated as proof of quality; reconstructed weights and matched outputs determine fidelity.",
             "",
             "## Weight reconstruction fidelity",
             "",
@@ -214,7 +258,7 @@ def generate(config: dict[str, Any], results_dir: Path) -> None:
         [
             markdown_table(["Format", "LPIPS Alex↓", "LPIPS VGG↓", "DISTS↓", "MS-SSIM↑", "DINO cosine↑", "SSIM RGB↑", "ΔE2000↓"], image_rows),
             "",
-            "Statistics use 50,000 prompt-cluster BCa bootstrap resamples. Quantized-format pairwise tests use all 2^15 exact prompt-level sign permutations with Holm correction across the six pairs per metric.",
+            f"Statistics use 50,000 prompt-cluster BCa bootstrap resamples. Quantized-format pairwise tests use all 2^15 exact prompt-level sign permutations with Holm correction across {pairwise_comparisons} pairs per metric.",
             "",
             "## Prompt adherence and no-reference quality",
             "",
@@ -304,11 +348,17 @@ def generate(config: dict[str, Any], results_dir: Path) -> None:
             markdown_table(["Format", "End-to-end s", "Sampling s", "VAE s", "Peak VRAM MiB", "Peak process RAM GiB", "Mean W", "Energy J", "Peak °C"], perf_rows),
             "",
             "Latency summaries use 30 scored runs per format after three repeatability/warmup executions. GPU and system telemetry were sampled every 100 ms. Model-load and warmup records remain available in `runs.jsonl` and telemetry files but are excluded from steady-state medians.",
+            "The original five formats and the three extension formats were measured in separate sessions. Five unscored BF16 and INT8 ConvRot bridge repetitions quantify session drift; no timing is automatically rescaled.",
+            (
+                f"Bridge verdict: **{'direct cross-session timing comparison allowed' if bridge and bridge['direct_cross_session_comparison_allowed'] else 'keep cross-session timing comparisons caveated'}** using a 5% median-drift threshold."
+                if bridge
+                else "Bridge verdict is unavailable."
+            ),
             "",
             "## Comparison sheets",
             "",
             "- [Master contact sheet](comparison_sheets/contact_sheet_replicate0.png)",
-            "- [`comparison_sheets/full/`](comparison_sheets/full/) — labeled five-format images",
+            f"- [`comparison_sheets/full/`](comparison_sheets/full/) — labeled {len(format_ids)}-format images",
             "- [`comparison_sheets/details/`](comparison_sheets/details/) — three automatically selected high-detail crops per pair",
             "- [`comparison_sheets/differences/`](comparison_sheets/differences/) — BF16-relative absolute-difference maps with a shared per-pair scale",
             "",
@@ -327,12 +377,13 @@ def generate(config: dict[str, Any], results_dir: Path) -> None:
             "## Reproduction",
             "",
             "```powershell",
-            ".\\run_benchmark.ps1 preflight",
-            ".\\run_benchmark.ps1 weights",
-            ".\\run_benchmark.ps1 generate",
-            ".\\run_benchmark.ps1 analyze",
-            ".\\run_benchmark.ps1 sheets",
-            ".\\run_benchmark.ps1 report",
+            f".\\run_benchmark.ps1 preflight{config_arg}",
+            f".\\run_benchmark.ps1 weights{config_arg}",
+            f".\\run_benchmark.ps1 generate{config_arg}",
+            f".\\run_benchmark.ps1 analyze{config_arg}",
+            f".\\run_benchmark.ps1 sheets{config_arg}",
+            f".\\run_benchmark.ps1 report{config_arg}",
+            f".\\run_benchmark.ps1 verify{config_arg}",
             "```",
             "",
             "The runner resumes only complete captures and rejects an existing result directory when the configuration hash differs. It never silently retries with different image settings.",
@@ -344,12 +395,16 @@ def generate(config: dict[str, Any], results_dir: Path) -> None:
             "2. BF16 is the original-checkpoint fidelity reference, not an external ground truth for semantic correctness.",
             "3. Pixel metrics become conservative when quantization changes composition rather than producing a local defect.",
             "4. No human preference test was requested; conclusions about aesthetics remain outside scope.",
-            "5. FP8 and INT8 have accelerated Ada execution in this runtime. MXFP8 and NVFP4 do not, so only their storage and quality results are portable from this system.",
+            "5. Performance is hardware- and loader-specific. Native safetensors quantization, ConvRot W4A4, and ComfyUI-GGUF follow different execution paths; storage and paired fidelity are more portable than timing.",
+            "6. The extension adds three formats in a later session. Bridge runs quantify drift, but a future single-session eight-format rerun remains the strongest timing design.",
             "",
             "## Primary sources",
             "",
             "- [Krea 2 Turbo model card and official inference settings](https://huggingface.co/krea/Krea-2-Turbo)",
             "- [Comfy-Org Krea 2 repackaged checkpoints](https://huggingface.co/Comfy-Org/Krea-2)",
+            "- [Winnougan INT4 ConvRot Comfy models](https://huggingface.co/Winnougan/INT4-Convrot-Comfy-Models)",
+            "- [vantagewithai Krea 2 Turbo GGUF](https://huggingface.co/vantagewithai/Krea-2-Turbo-GGUF)",
+            "- [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF)",
             "- [LPIPS paper](https://arxiv.org/abs/1801.03924)",
             "- [DISTS paper](https://arxiv.org/abs/2004.07728)",
             "- [DINOv2 paper](https://arxiv.org/abs/2304.07193)",
@@ -361,7 +416,7 @@ def generate(config: dict[str, Any], results_dir: Path) -> None:
             "## Raw artifact index",
             "",
             "- `manifest.json`: environment, dependency versions, checkpoint metadata, and hashes",
-            "- `run_matrix.json`: all 150 preregistered scored runs",
+            f"- `run_matrix.json`: all {scored_runs} preregistered scored runs",
             "- `runs.jsonl`: execution ledger including failures and timings",
             "- `captures/`: float decoded images, final latents, trajectories, PNGs, and per-run metadata",
             "- `metrics/`: all raw, summary, and inferential CSV/JSON tables",

reproduction/benchmark/verify_results.py

@@ -15,6 +15,11 @@ def csv_count(path: Path) -> tuple[int, set[str]]:
 
 def verify(config: dict[str, Any], results_dir: Path) -> dict[str, Any]:
     failures = []
+    expected_runs = len(config["prompts"]) * int(config["campaign"]["replicates"]) * len(config["formats"])
+    expected_per_format = len(config["prompts"]) * int(config["campaign"]["replicates"])
+    expected_noise_groups = len(config["prompts"]) * int(config["campaign"]["replicates"])
+    expected_trajectory_rows = (len(config["formats"]) - 1) * expected_per_format * int(config["controls"]["steps"]) * 2
+    expected_weight_rows = (len(config["formats"]) - 1) * 430
 
     def require(condition: bool, message: str) -> None:
         if not condition:
@@ -30,13 +35,16 @@ def verify(config: dict[str, Any], results_dir: Path) -> dict[str, Any]:
     for name in ("preflight.json", "campaign_complete.json", "report_complete.json"):
         require((results_dir / name).is_file(), f"Missing completion marker {name}")
     require(json.loads((results_dir / "preflight.json").read_text(encoding="utf-8"))["passed"] is True, "Preflight marker is not passed")
-    require(json.loads((results_dir / "campaign_complete.json").read_text(encoding="utf-8"))["scored_runs"] == 150, "Campaign marker does not declare 150 runs")
+    require(json.loads((results_dir / "campaign_complete.json").read_text(encoding="utf-8"))["scored_runs"] == expected_runs, f"Campaign marker does not declare {expected_runs} runs")
+    if config.get("_base_results_dir"):
+        require((results_dir / "extension_import.json").is_file(), "Extension import marker is missing")
+        require((results_dir / "metrics" / "performance_bridge.json").is_file(), "Performance bridge evidence is missing")
 
     matrix = json.loads((results_dir / "run_matrix.json").read_text(encoding="utf-8"))
-    require(len(matrix) == 150, f"Run matrix has {len(matrix)} rows instead of 150")
-    require(len({row["run_id"] for row in matrix}) == 150, "Run matrix contains duplicate run ids")
+    require(len(matrix) == expected_runs, f"Run matrix has {len(matrix)} rows instead of {expected_runs}")
+    require(len({row["run_id"] for row in matrix}) == expected_runs, "Run matrix contains duplicate run ids")
     counts = Counter(row["format_id"] for row in matrix)
-    require(all(counts[format_id] == 30 for format_id in config["formats"]), f"Format counts are wrong: {dict(counts)}")
+    require(all(counts[format_id] == expected_per_format for format_id in config["formats"]), f"Format counts are wrong: {dict(counts)}")
 
     noise_groups = defaultdict(list)
     for row in matrix:
@@ -47,9 +55,9 @@ def verify(config: dict[str, Any], results_dir: Path) -> dict[str, Any]:
             metadata = json.loads((directory / "metadata.json").read_text(encoding="utf-8"))
             require({"sampling", "vae_decode", "output"}.issubset(metadata), f"Metadata sections missing: {row['run_id']}")
             noise_groups[(row["prompt_id"], row["replicate"])].append(metadata["sampling"]["noise_sha256"])
-    require(len(noise_groups) == 30, f"Expected 30 prompt-seed noise groups, found {len(noise_groups)}")
+    require(len(noise_groups) == expected_noise_groups, f"Expected {expected_noise_groups} prompt-seed noise groups, found {len(noise_groups)}")
     for key, values in noise_groups.items():
-        require(len(values) == 5 and len(set(values)) == 1, f"Noise mismatch for {key}: {values}")
+        require(len(values) == len(config["formats"]) and len(set(values)) == 1, f"Noise mismatch for {key}: {values}")
 
     for format_id in config["formats"]:
         hashes = []
@@ -61,12 +69,12 @@ def verify(config: dict[str, Any], results_dir: Path) -> dict[str, Any]:
         require(len(hashes) == 3 and len(set(hashes)) == 1, f"Repeatability mismatch for {format_id}: {hashes}")
 
     expected_tables = {
-        "image_core.csv": 150,
-        "image_advanced.csv": 150,
-        "latency_components.csv": 150,
-        "performance_runs.csv": 150,
-        "trajectory.csv": 1920,
-        "weight_parameters_all.csv": 1720,
+        "image_core.csv": expected_runs,
+        "image_advanced.csv": expected_runs,
+        "latency_components.csv": expected_runs,
+        "performance_runs.csv": expected_runs,
+        "trajectory.csv": expected_trajectory_rows,
+        "weight_parameters_all.csv": expected_weight_rows,
     }
     for name, expected_count in expected_tables.items():
         path = results_dir / "metrics" / name
@@ -122,7 +130,7 @@ def verify(config: dict[str, Any], results_dir: Path) -> dict[str, Any]:
     require(report_path.is_file(), "Technical report is missing")
     if report_path.is_file():
         report = report_path.read_text(encoding="utf-8")
-        for phrase in ("Best quantized BF16 fidelity", "INT8 ConvRot", "OCR on prompts", "bit-identical", "Primary sources"):
+        for phrase in ("Best quantized BF16 fidelity", "INT8 ConvRot", "INT4 ConvRot", "GGUF Q8_0", "GGUF Q4_K_M", "OCR on prompts", "bit-identical", "Primary sources"):
             require(phrase in report, f"Technical report is missing required section/claim: {phrase}")
 
     workflows = [Path(config["_config_path"]).parent / "workflows" / "krea2_benchmark_api.json", Path(config["_config_path"]).parent / "workflows" / "krea2_benchmark_interactive.json"]

reproduction/benchmark/weight_audit.py

@@ -3,6 +3,8 @@ from __future__ import annotations
 import argparse
 import csv
 import gc
+import importlib
+import importlib.util
 import json
 import math
 import sys
@@ -71,6 +73,15 @@ def endpoint_rate(parameter: torch.Tensor) -> float | None:
     if qdata is None:
         return None
     qdata = qdata.detach().cpu()
+    layout = str(getattr(parameter, "_layout_cls", getattr(parameter, "layout_type", "")))
+    if "ConvRotW4A4" in layout:
+        packed = qdata.to(torch.uint8).reshape(-1)
+        low = (packed & 0x0F).to(torch.int16)
+        high = ((packed >> 4) & 0x0F).to(torch.int16)
+        low = torch.where(low >= 8, low - 16, low)
+        high = torch.where(high >= 8, high - 16, high)
+        values = torch.cat((low, high))
+        return float(((values <= -8) | (values >= 7)).float().mean())
     if qdata.dtype == torch.int8:
         return float((qdata.to(torch.int16).abs() >= 127).float().mean())
     if qdata.dtype in {torch.float8_e4m3fn, torch.float8_e5m2}:
@@ -79,6 +90,22 @@ def endpoint_rate(parameter: torch.Tensor) -> float | None:
     return None
 
 
+def load_comfyui_gguf(comfy_dir: Path):
+    package_dir = comfy_dir / "custom_nodes" / "ComfyUI-GGUF"
+    init_path = package_dir / "__init__.py"
+    if not init_path.is_file():
+        raise RuntimeError(f"ComfyUI-GGUF is not installed at {package_dir}")
+    package_name = "krea_benchmark_comfyui_gguf"
+    if package_name not in sys.modules:
+        spec = importlib.util.spec_from_file_location(package_name, init_path, submodule_search_locations=[str(package_dir)])
+        if spec is None or spec.loader is None:
+            raise RuntimeError(f"Could not load ComfyUI-GGUF from {init_path}")
+        module = importlib.util.module_from_spec(spec)
+        sys.modules[package_name] = module
+        spec.loader.exec_module(module)
+    return importlib.import_module(f"{package_name}.loader"), importlib.import_module(f"{package_name}.dequant")
+
+
 def parameter_metrics(reference: torch.Tensor, candidate: torch.Tensor, sample_limit: int = 65536, chunk_size: int = 4_194_304) -> dict[str, float]:
     if reference.shape != candidate.shape:
         raise ValueError(f"Shape mismatch: reference={reference.shape}, candidate={candidate.shape}")
@@ -194,42 +221,81 @@ def audit(config: dict[str, Any], results_dir: Path) -> None:
     }
     combined_rows = []
 
+    gguf_loader = gguf_dequant = None
     for format_id, format_config in config["formats"].items():
         if format_id == "bf16":
             continue
         print(f"Weight audit: {format_id}", flush=True)
         started = time.time()
-        patcher = comfy.sd.load_diffusion_model(str(models_dir / format_config["checkpoint"]))
-        model = patcher.model.diffusion_model
         rows = []
+        ignored_storage_tensors = []
+        patcher = model = None
         with safe_open(reference_path, framework="pt", device="cpu") as reference_file:
             reference_keys = set(reference_file.keys())
-            for index, (name, parameter) in enumerate(model.named_parameters(), start=1):
-                if name not in reference_keys:
-                    raise KeyError(f"Logical parameter {name!r} is absent from BF16 checkpoint")
-                is_quantized = isinstance(parameter, QuantizedTensor)
-                candidate = parameter.dequantize() if is_quantized else parameter.detach()
-                reference = reference_file.get_tensor(name)
-                metrics = parameter_metrics(reference, candidate)
-                row = {
-                    "format_id": format_id,
-                    "parameter": name,
-                    "subsystem": subsystem(name),
-                    "quantized": is_quantized,
-                    "reference_dtype": str(reference.dtype),
-                    "candidate_dtype": str(candidate.dtype),
-                    "storage_dtype": str(getattr(parameter, "_qdata", parameter).dtype),
-                    "storage_endpoint_rate": endpoint_rate(parameter),
-                    **metrics,
-                }
-                rows.append(row)
-                if index % 20 == 0:
-                    print(f"  {index}/430 parameters", flush=True)
-                del reference, candidate
+            checkpoint_path = models_dir / format_config["checkpoint"]
+            if format_config.get("loader", "unet") == "gguf":
+                if gguf_loader is None:
+                    gguf_loader, gguf_dequant = load_comfyui_gguf(comfy_dir)
+                state_dict, _extra = gguf_loader.gguf_sd_loader(str(checkpoint_path))
+                ignored_storage_tensors = sorted(set(state_dict) - reference_keys)
+                candidates = [(name, value) for name, value in state_dict.items() if name in reference_keys]
+                for index, (name, parameter) in enumerate(candidates, start=1):
+                    if name not in reference_keys:
+                        raise KeyError(f"Logical GGUF parameter {name!r} is absent from BF16 checkpoint")
+                    is_quantized = bool(gguf_dequant.is_quantized(parameter))
+                    candidate = gguf_dequant.dequantize_tensor(parameter, dtype=torch.float32) if is_quantized else parameter.detach()
+                    reference = reference_file.get_tensor(name)
+                    metrics = parameter_metrics(reference, candidate)
+                    tensor_type = getattr(parameter, "tensor_type", None)
+                    rows.append(
+                        {
+                            "format_id": format_id,
+                            "parameter": name,
+                            "subsystem": subsystem(name),
+                            "quantized": is_quantized,
+                            "reference_dtype": str(reference.dtype),
+                            "candidate_dtype": str(candidate.dtype),
+                            "storage_dtype": getattr(tensor_type, "name", str(tensor_type or parameter.dtype)),
+                            "storage_endpoint_rate": None,
+                            **metrics,
+                        }
+                    )
+                    if index % 20 == 0:
+                        print(f"  {index}/{len(candidates)} parameters", flush=True)
+                    del reference, candidate
+                del state_dict, candidates
+            else:
+                patcher = comfy.sd.load_diffusion_model(str(checkpoint_path))
+                model = patcher.model.diffusion_model
+                candidates = list(model.named_parameters())
+                for index, (name, parameter) in enumerate(candidates, start=1):
+                    if name not in reference_keys:
+                        raise KeyError(f"Logical parameter {name!r} is absent from BF16 checkpoint")
+                    is_quantized = isinstance(parameter, QuantizedTensor)
+                    candidate = parameter.dequantize() if is_quantized else parameter.detach()
+                    reference = reference_file.get_tensor(name)
+                    metrics = parameter_metrics(reference, candidate)
+                    rows.append(
+                        {
+                            "format_id": format_id,
+                            "parameter": name,
+                            "subsystem": subsystem(name),
+                            "quantized": is_quantized,
+                            "reference_dtype": str(reference.dtype),
+                            "candidate_dtype": str(candidate.dtype),
+                            "storage_dtype": str(getattr(parameter, "_qdata", parameter).dtype),
+                            "storage_endpoint_rate": endpoint_rate(parameter),
+                            **metrics,
+                        }
+                    )
+                    if index % 20 == 0:
+                        print(f"  {index}/{len(candidates)} parameters", flush=True)
+                    del reference, candidate
         write_rows(output_dir / f"weight_parameters_{format_id}.csv", rows)
         combined_rows.extend(rows)
         summary = aggregate(rows)
         summary["duration_seconds"] = time.time() - started
+        summary["ignored_storage_tensors"] = ignored_storage_tensors
         by_subsystem = {}
         for group in sorted({row["subsystem"] for row in rows}):
             by_subsystem[group] = aggregate([row for row in rows if row["subsystem"] == group])

scripts/upload_to_huggingface.py

@@ -25,7 +25,15 @@ def main() -> int:
         return 0
     api = HfApi()
     api.create_repo(repo_id=args.repo_id, repo_type="dataset", private=args.private, exist_ok=True)
-    api.upload_folder(repo_id=args.repo_id, repo_type="dataset", folder_path=str(root), commit_message="Publish Krea 2 Turbo format benchmark")
+    api.upload_large_folder(
+        repo_id=args.repo_id,
+        repo_type="dataset",
+        folder_path=str(root),
+        private=args.private,
+        ignore_patterns=[".cache/**", "**/__pycache__/**", "*.pyc"],
+        num_workers=4,
+        print_report_every=30,
+    )
     print(f"https://huggingface.co/datasets/{args.repo_id}")
     return 0
 

scripts/validate_release.py

@@ -10,7 +10,7 @@ from pathlib import Path
 from urllib.parse import unquote
 
 
-FORMATS = ("bf16", "fp8_scaled", "int8_convrot", "mxfp8", "nvfp4")
+FORMATS = ("bf16", "fp8_scaled", "int8_convrot", "mxfp8", "nvfp4", "int4_convrot", "gguf_q8_0", "gguf_q4_k_m")
 
 
 def checksum(path: Path) -> str:
@@ -35,8 +35,9 @@ def main() -> int:
     errors: list[str] = []
     metadata_path = root / "data" / "train" / "metadata.jsonl"
     rows = [json.loads(line) for line in metadata_path.read_text(encoding="utf-8").splitlines() if line.strip()]
-    fail(len(rows) != 150, f"metadata rows: expected 150, found {len(rows)}", errors)
-    fail(len({row["run_id"] for row in rows}) != 150, "run_id values are not unique", errors)
+    expected_rows = 30 * len(FORMATS)
+    fail(len(rows) != expected_rows, f"metadata rows: expected {expected_rows}, found {len(rows)}", errors)
+    fail(len({row["run_id"] for row in rows}) != expected_rows, "run_id values are not unique", errors)
     counts = Counter(row["format_id"] for row in rows)
     for fmt in FORMATS:
         fail(counts[fmt] != 30, f"{fmt}: expected 30, found {counts[fmt]}", errors)
@@ -47,25 +48,25 @@ def main() -> int:
             path = base / row[key]
             required_paths.append(path)
             fail(not path.is_file(), f"missing {key}: {path}", errors)
-    fail(len(list((root / "data" / "train" / "images").rglob("*.png"))) != 150, "expected 150 PNG images", errors)
-    fail(len(list((root / "raw").rglob("*.npy"))) != 300, "expected 300 NPY files", errors)
-    fail(len(list((root / "raw").rglob("*.npz"))) != 150, "expected 150 NPZ files", errors)
+    fail(len(list((root / "data" / "train" / "images").rglob("*.png"))) != expected_rows, f"expected {expected_rows} PNG images", errors)
+    fail(len(list((root / "raw").rglob("*.npy"))) != expected_rows * 2, f"expected {expected_rows * 2} NPY files", errors)
+    fail(len(list((root / "raw").rglob("*.npz"))) != expected_rows, f"expected {expected_rows} NPZ files", errors)
     fail(len(list((root / "comparison_sheets").rglob("*.*"))) != 93, "expected 93 comparison artifacts", errors)
-    fail(len(list((root / "telemetry").glob("*.csv"))) != 10, "expected 10 scored telemetry files", errors)
+    fail(len(list((root / "telemetry").glob("*.csv"))) != 20, "expected 20 scored/bridge telemetry files", errors)
     expected_metric_rows = {
-        "image_core.csv": 150,
-        "image_advanced.csv": 150,
-        "latency_components.csv": 150,
-        "performance_runs.csv": 150,
-        "trajectory.csv": 1920,
-        "weight_parameters_all.csv": 1720,
+        "image_core.csv": 240,
+        "image_advanced.csv": 240,
+        "latency_components.csv": 240,
+        "performance_runs.csv": 240,
+        "trajectory.csv": 3360,
+        "weight_parameters_all.csv": 3010,
     }
     for filename, expected in expected_metric_rows.items():
         with (root / "metrics" / filename).open("r", encoding="utf-8", newline="") as stream:
             metric_rows = list(csv.DictReader(stream))
         fail(len(metric_rows) != expected, f"{filename}: expected {expected} rows, found {len(metric_rows)}", errors)
         if filename in {"image_core.csv", "image_advanced.csv", "latency_components.csv", "performance_runs.csv"}:
-            fail(len({row["run_id"] for row in metric_rows}) != 150, f"{filename}: run_id values are not unique", errors)
+            fail(len({row["run_id"] for row in metric_rows}) != expected_rows, f"{filename}: run_id values are not unique", errors)
     forbidden_names = {".vendor", "advanced_metric_cache", "logs", "comfy_output", "__pycache__", ".cache", "cache"}
     for path in root.rglob("*"):
         fail(any(part in forbidden_names for part in path.parts), f"forbidden path: {path}", errors)
@@ -123,8 +124,8 @@ def main() -> int:
         try:
             from datasets import load_dataset
 
-            dataset = load_dataset("imagefolder", data_dir=str(root / "data"), split="train")
-            fail(dataset.num_rows != 150, f"ImageFolder rows: {dataset.num_rows}", errors)
+            dataset = load_dataset(str(root), split="train")
+            fail(dataset.num_rows != expected_rows, f"ImageFolder rows: {dataset.num_rows}", errors)
             _ = dataset[0]["image"]
         except Exception as exc:
             errors.append(f"ImageFolder load failed: {exc}")

tables/decision_table.csv

@@ -1,6 +1,9 @@
-format,file_gib,lpips_alex_mean,dists_mean,dinov2_cosine_mean,final_latent_relative_l2_mean,weight_snr_db,sampling_seconds_mean,peak_vram_mib,energy_joules_mean
+format,file_gib,lpips_alex_median,dists_median,dinov2_cosine_median,final_latent_relative_l2_median,weight_snr_db,sampling_seconds_median,peak_vram_mib,energy_joules_mean
 BF16,24.478,0.000000,0.000000,1.000000,0.000000,n/a,25.783,15221.0,3656.0
 FP8 Scaled,12.239,0.093701,0.042738,0.971012,0.223618,31.585775,19.503,14397.0,3013.5
 INT8 ConvRot,12.566,0.041864,0.026796,0.983833,0.132571,41.157030,12.417,15165.0,1944.8
 MXFP8,12.603,0.071229,0.035132,0.979443,0.201900,31.604820,31.929,14750.0,4142.8
 NVFP4,7.147,0.205124,0.084436,0.934769,0.381361,20.600707,24.925,14459.0,3679.3
+INT4 ConvRot W4A4,6.426,0.314728,0.132647,0.911258,0.490868,15.715704,9.537,14623.0,1440.8
+GGUF Q8_0,12.765,0.042618,0.024559,0.990568,0.145688,44.813097,27.493,14267.0,3997.6
+GGUF Q4_K_M,6.972,0.153252,0.066291,0.954597,0.340616,22.973296,31.407,14333.0,4487.2

tables/format_ranking.csv

@@ -1,6 +1,9 @@
 fidelity_rank,format_id,format_label,scope,basis
 1,bf16,BF16,BF16-relative checkpoint fidelity; no aesthetic composite score,BF16 reference
 2,int8_convrot,INT8 ConvRot,BF16-relative checkpoint fidelity; no aesthetic composite score,"LPIPS-Alex primary endpoint with supporting DISTS, DINOv2, latent, and weight evidence"
-3,mxfp8,MXFP8,BF16-relative checkpoint fidelity; no aesthetic composite score,"LPIPS-Alex primary endpoint with supporting DISTS, DINOv2, latent, and weight evidence"
-4,fp8_scaled,FP8 Scaled,BF16-relative checkpoint fidelity; no aesthetic composite score,"LPIPS-Alex primary endpoint with supporting DISTS, DINOv2, latent, and weight evidence"
-5,nvfp4,NVFP4,BF16-relative checkpoint fidelity; no aesthetic composite score,"LPIPS-Alex primary endpoint with supporting DISTS, DINOv2, latent, and weight evidence"
+3,gguf_q8_0,GGUF Q8_0,BF16-relative checkpoint fidelity; no aesthetic composite score,"LPIPS-Alex primary endpoint with supporting DISTS, DINOv2, latent, and weight evidence"
+4,mxfp8,MXFP8,BF16-relative checkpoint fidelity; no aesthetic composite score,"LPIPS-Alex primary endpoint with supporting DISTS, DINOv2, latent, and weight evidence"
+5,fp8_scaled,FP8 Scaled,BF16-relative checkpoint fidelity; no aesthetic composite score,"LPIPS-Alex primary endpoint with supporting DISTS, DINOv2, latent, and weight evidence"
+6,gguf_q4_k_m,GGUF Q4_K_M,BF16-relative checkpoint fidelity; no aesthetic composite score,"LPIPS-Alex primary endpoint with supporting DISTS, DINOv2, latent, and weight evidence"
+7,nvfp4,NVFP4,BF16-relative checkpoint fidelity; no aesthetic composite score,"LPIPS-Alex primary endpoint with supporting DISTS, DINOv2, latent, and weight evidence"
+8,int4_convrot,INT4 ConvRot W4A4,BF16-relative checkpoint fidelity; no aesthetic composite score,"LPIPS-Alex primary endpoint with supporting DISTS, DINOv2, latent, and weight evidence"

tables/metadata_schema.json

@@ -23,6 +23,7 @@
     "cfg",
     "checkpoint_filename",
     "checkpoint_sha256",
+    "checkpoint_source_url",
     "core_artifact_channel_clipping_fraction",
     "core_artifact_clip_black_fraction",
     "core_artifact_clip_white_fraction",
@@ -135,6 +136,6 @@
     "trajectory_path",
     "capture_metadata_path"
   ],
-  "rows": 150,
+  "rows": 240,
   "schema_version": 1
 }

telemetry/bridge_int8_convrot.csv

@@ -0,0 +1,771 @@
+timestamp,name,utilization_gpu_percent,utilization_memory_percent,memory_used_mib,memory_total_mib,power_draw_w,temperature_gpu_c,clocks_sm_mhz,clocks_memory_mhz,pstate
+2026/07/13 04:29:48.617, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 36.60, 55, 2745, 9001, P0
+2026/07/13 04:29:48.727, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 36.62, 55, 2745, 9001, P0
+2026/07/13 04:29:48.830, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 36.62, 55, 2745, 9001, P0
+2026/07/13 04:29:48.946, NVIDIA GeForce RTX 4060 Ti, 0, 0, 8, 16380, 36.62, 55, 2745, 9001, P0
+2026/07/13 04:29:49.058, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 36.62, 55, 2745, 9001, P0
+2026/07/13 04:29:49.168, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 36.62, 55, 2745, 9001, P0
+2026/07/13 04:29:49.279, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 33.61, 54, 2535, 9001, P0
+2026/07/13 04:29:49.390, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 33.61, 54, 2535, 9001, P0
+2026/07/13 04:29:49.502, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 33.61, 54, 2535, 9001, P0
+2026/07/13 04:29:49.613, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 33.61, 54, 2535, 9001, P0
+2026/07/13 04:29:49.724, NVIDIA GeForce RTX 4060 Ti, 1, 0, 0, 16380, 31.50, 54, 2535, 9001, P0
+2026/07/13 04:29:49.830, NVIDIA GeForce RTX 4060 Ti, 1, 0, 0, 16380, 31.50, 54, 2535, 9001, P0
+2026/07/13 04:29:49.941, NVIDIA GeForce RTX 4060 Ti, 1, 0, 0, 16380, 31.50, 54, 2535, 9001, P0
+2026/07/13 04:29:50.051, NVIDIA GeForce RTX 4060 Ti, 1, 0, 0, 16380, 31.50, 54, 2535, 9001, P0
+2026/07/13 04:29:50.162, NVIDIA GeForce RTX 4060 Ti, 1, 0, 0, 16380, 31.50, 54, 2535, 9001, P0
+2026/07/13 04:29:50.273, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 31.49, 53, 2535, 9001, P0
+2026/07/13 04:29:50.384, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 31.49, 53, 2535, 9001, P0
+2026/07/13 04:29:50.495, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 31.49, 53, 2535, 9001, P0
+2026/07/13 04:29:50.607, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 31.49, 53, 2535, 9001, P0
+2026/07/13 04:29:50.718, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 31.42, 53, 2535, 9001, P0
+2026/07/13 04:29:50.830, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 31.42, 53, 2535, 9001, P0
+2026/07/13 04:29:50.940, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 31.42, 53, 2535, 9001, P0
+2026/07/13 04:29:51.051, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 31.42, 53, 2535, 9001, P0
+2026/07/13 04:29:51.162, NVIDIA GeForce RTX 4060 Ti, 0, 0, 0, 16380, 31.42, 53, 2535, 9001, P0
+2026/07/13 04:29:51.273, NVIDIA GeForce RTX 4060 Ti, 0, 0, 9, 16380, 31.42, 53, 2535, 9001, P0
+2026/07/13 04:29:51.384, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.42, 53, 2535, 9001, P0
+2026/07/13 04:29:51.494, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.42, 53, 2535, 9001, P0
+2026/07/13 04:29:51.605, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.42, 53, 2535, 9001, P0
+2026/07/13 04:29:51.715, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.32, 53, 2535, 8751, P2
+2026/07/13 04:29:51.829, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.32, 53, 2535, 8751, P2
+2026/07/13 04:29:51.941, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.32, 53, 2535, 8751, P2
+2026/07/13 04:29:52.051, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.32, 53, 2535, 8751, P2
+2026/07/13 04:29:52.161, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.32, 53, 2535, 8751, P2
+2026/07/13 04:29:52.272, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.21, 52, 2535, 8751, P2
+2026/07/13 04:29:52.383, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.21, 52, 2535, 8751, P2
+2026/07/13 04:29:52.493, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.21, 52, 2535, 8751, P2
+2026/07/13 04:29:52.603, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.21, 52, 2535, 8751, P2
+2026/07/13 04:29:52.713, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.19, 52, 2535, 8751, P2
+2026/07/13 04:29:52.830, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.19, 52, 2535, 8751, P2
+2026/07/13 04:29:52.942, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.19, 52, 2535, 8751, P2
+2026/07/13 04:29:53.054, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.19, 52, 2535, 8751, P2
+2026/07/13 04:29:53.165, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.19, 52, 2535, 8751, P2
+2026/07/13 04:29:53.275, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.19, 52, 2535, 8751, P2
+2026/07/13 04:29:53.385, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.19, 52, 2535, 8751, P2
+2026/07/13 04:29:53.496, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.19, 52, 2535, 8751, P2
+2026/07/13 04:29:53.606, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 31.19, 52, 2535, 8751, P2
+2026/07/13 04:29:53.716, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.61, 52, 2535, 8751, P2
+2026/07/13 04:29:53.829, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.61, 52, 2535, 8751, P2
+2026/07/13 04:29:53.940, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.61, 52, 2535, 8751, P2
+2026/07/13 04:29:54.047, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.61, 52, 2535, 8751, P2
+2026/07/13 04:29:54.158, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.61, 52, 2535, 8751, P2
+2026/07/13 04:29:54.267, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.61, 52, 2535, 8751, P2
+2026/07/13 04:29:54.379, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.61, 52, 2535, 8751, P2
+2026/07/13 04:29:54.490, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.61, 52, 2535, 8751, P2
+2026/07/13 04:29:54.600, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.61, 52, 2535, 8751, P2
+2026/07/13 04:29:54.711, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.57, 52, 2535, 8751, P2
+2026/07/13 04:29:54.812, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.57, 52, 2535, 8751, P2
+2026/07/13 04:29:54.926, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.57, 52, 2535, 8751, P2
+2026/07/13 04:29:55.030, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.57, 52, 2535, 8751, P2
+2026/07/13 04:29:55.143, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.57, 52, 2535, 8751, P2
+2026/07/13 04:29:55.254, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.57, 52, 2535, 8751, P2
+2026/07/13 04:29:55.364, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.57, 52, 2535, 8751, P2
+2026/07/13 04:29:55.474, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.57, 52, 2535, 8751, P2
+2026/07/13 04:29:55.585, NVIDIA GeForce RTX 4060 Ti, 0, 0, 107, 16380, 30.57, 52, 2535, 8751, P2
+2026/07/13 04:29:55.695, NVIDIA GeForce RTX 4060 Ti, 0, 0, 919, 16380, 30.51, 51, 2535, 8751, P2
+2026/07/13 04:29:55.796, NVIDIA GeForce RTX 4060 Ti, 0, 0, 919, 16380, 30.51, 51, 2535, 8751, P2
+2026/07/13 04:29:55.911, NVIDIA GeForce RTX 4060 Ti, 0, 0, 919, 16380, 30.51, 51, 2535, 8751, P2
+2026/07/13 04:29:56.022, NVIDIA GeForce RTX 4060 Ti, 0, 0, 937, 16380, 30.51, 51, 2535, 8751, P2
+2026/07/13 04:29:56.133, NVIDIA GeForce RTX 4060 Ti, 0, 0, 1011, 16380, 30.51, 51, 2535, 8751, P2
+2026/07/13 04:29:56.244, NVIDIA GeForce RTX 4060 Ti, 1, 0, 1331, 16380, 30.90, 51, 2535, 8751, P2
+2026/07/13 04:29:56.353, NVIDIA GeForce RTX 4060 Ti, 1, 0, 1779, 16380, 30.90, 51, 2535, 8751, P2
+2026/07/13 04:29:56.464, NVIDIA GeForce RTX 4060 Ti, 1, 0, 2227, 16380, 30.90, 51, 2535, 8751, P2
+2026/07/13 04:29:56.565, NVIDIA GeForce RTX 4060 Ti, 1, 0, 2547, 16380, 30.90, 51, 2535, 8751, P2
+2026/07/13 04:29:56.681, NVIDIA GeForce RTX 4060 Ti, 29, 9, 2899, 16380, 33.94, 52, 2535, 8751, P2
+2026/07/13 04:29:56.781, NVIDIA GeForce RTX 4060 Ti, 29, 9, 3219, 16380, 33.94, 52, 2535, 8751, P2
+2026/07/13 04:29:56.881, NVIDIA GeForce RTX 4060 Ti, 29, 9, 3475, 16380, 33.94, 52, 2535, 8751, P2
+2026/07/13 04:29:56.981, NVIDIA GeForce RTX 4060 Ti, 29, 9, 3667, 16380, 33.94, 52, 2535, 8751, P2
+2026/07/13 04:29:57.082, NVIDIA GeForce RTX 4060 Ti, 29, 9, 3923, 16380, 33.94, 52, 2535, 8751, P2
+2026/07/13 04:29:57.195, NVIDIA GeForce RTX 4060 Ti, 25, 8, 4243, 16380, 38.15, 52, 2535, 8751, P2
+2026/07/13 04:29:57.295, NVIDIA GeForce RTX 4060 Ti, 25, 8, 4467, 16380, 38.15, 52, 2535, 8751, P2
+2026/07/13 04:29:57.397, NVIDIA GeForce RTX 4060 Ti, 25, 8, 4723, 16380, 38.15, 52, 2535, 8751, P2
+2026/07/13 04:29:57.512, NVIDIA GeForce RTX 4060 Ti, 25, 8, 5043, 16380, 38.15, 52, 2535, 8751, P2
+2026/07/13 04:29:57.613, NVIDIA GeForce RTX 4060 Ti, 25, 8, 5267, 16380, 38.15, 52, 2535, 8751, P2
+2026/07/13 04:29:57.724, NVIDIA GeForce RTX 4060 Ti, 28, 9, 5491, 16380, 37.67, 51, 1875, 8751, P2
+2026/07/13 04:29:57.830, NVIDIA GeForce RTX 4060 Ti, 28, 9, 5779, 16380, 37.67, 51, 1875, 8751, P2
+2026/07/13 04:29:57.941, NVIDIA GeForce RTX 4060 Ti, 28, 9, 6099, 16380, 37.67, 51, 1875, 8751, P2
+2026/07/13 04:29:58.052, NVIDIA GeForce RTX 4060 Ti, 28, 9, 6419, 16380, 37.67, 51, 1875, 8751, P2
+2026/07/13 04:29:58.162, NVIDIA GeForce RTX 4060 Ti, 28, 9, 6643, 16380, 37.67, 51, 1875, 8751, P2
+2026/07/13 04:29:58.272, NVIDIA GeForce RTX 4060 Ti, 27, 8, 6931, 16380, 34.34, 51, 1800, 8751, P2
+2026/07/13 04:29:58.384, NVIDIA GeForce RTX 4060 Ti, 27, 8, 7155, 16380, 34.34, 51, 1800, 8751, P2
+2026/07/13 04:29:58.496, NVIDIA GeForce RTX 4060 Ti, 27, 8, 7443, 16380, 34.34, 51, 1800, 8751, P2
+2026/07/13 04:29:58.607, NVIDIA GeForce RTX 4060 Ti, 27, 8, 7667, 16380, 34.34, 51, 1800, 8751, P2
+2026/07/13 04:29:58.721, NVIDIA GeForce RTX 4060 Ti, 29, 8, 7987, 16380, 32.24, 51, 1665, 8751, P2
+2026/07/13 04:29:58.830, NVIDIA GeForce RTX 4060 Ti, 29, 8, 8211, 16380, 32.24, 51, 1665, 8751, P2
+2026/07/13 04:29:58.941, NVIDIA GeForce RTX 4060 Ti, 29, 8, 7923, 16380, 32.24, 51, 1665, 8751, P2
+2026/07/13 04:29:59.051, NVIDIA GeForce RTX 4060 Ti, 29, 8, 3445, 16380, 32.24, 51, 1665, 8751, P2
+2026/07/13 04:29:59.161, NVIDIA GeForce RTX 4060 Ti, 29, 8, 3545, 16380, 32.24, 51, 1665, 8751, P2
+2026/07/13 04:29:59.271, NVIDIA GeForce RTX 4060 Ti, 5, 1, 3993, 16380, 30.37, 50, 1530, 5001, P3
+2026/07/13 04:29:59.382, NVIDIA GeForce RTX 4060 Ti, 5, 1, 4153, 16380, 30.37, 50, 1530, 5001, P3
+2026/07/13 04:29:59.493, NVIDIA GeForce RTX 4060 Ti, 5, 1, 4377, 16380, 30.37, 50, 1530, 5001, P3
+2026/07/13 04:29:59.605, NVIDIA GeForce RTX 4060 Ti, 5, 1, 4601, 16380, 30.37, 50, 1530, 5001, P3
+2026/07/13 04:29:59.715, NVIDIA GeForce RTX 4060 Ti, 21, 5, 4761, 16380, 26.66, 50, 1350, 5001, P3
+2026/07/13 04:29:59.829, NVIDIA GeForce RTX 4060 Ti, 21, 5, 5433, 16380, 26.66, 50, 1350, 5001, P3
+2026/07/13 04:29:59.940, NVIDIA GeForce RTX 4060 Ti, 21, 5, 5561, 16380, 26.66, 50, 1350, 5001, P3
+2026/07/13 04:30:00.046, NVIDIA GeForce RTX 4060 Ti, 21, 5, 5657, 16380, 26.66, 50, 1350, 5001, P3
+2026/07/13 04:30:00.157, NVIDIA GeForce RTX 4060 Ti, 21, 5, 6073, 16380, 26.66, 50, 1350, 5001, P3
+2026/07/13 04:30:00.268, NVIDIA GeForce RTX 4060 Ti, 54, 18, 6329, 16380, 34.56, 55, 2550, 8751, P2
+2026/07/13 04:30:00.379, NVIDIA GeForce RTX 4060 Ti, 54, 18, 6649, 16380, 34.56, 55, 2550, 8751, P2
+2026/07/13 04:30:00.494, NVIDIA GeForce RTX 4060 Ti, 54, 18, 7001, 16380, 34.56, 55, 2550, 8751, P2
+2026/07/13 04:30:00.605, NVIDIA GeForce RTX 4060 Ti, 54, 18, 7225, 16380, 34.56, 55, 2550, 8751, P2
+2026/07/13 04:30:00.716, NVIDIA GeForce RTX 4060 Ti, 38, 9, 7513, 16380, 57.52, 54, 2745, 8751, P2
+2026/07/13 04:30:00.830, NVIDIA GeForce RTX 4060 Ti, 38, 9, 7705, 16380, 57.52, 54, 2745, 8751, P2
+2026/07/13 04:30:00.940, NVIDIA GeForce RTX 4060 Ti, 38, 9, 7993, 16380, 57.52, 54, 2745, 8751, P2
+2026/07/13 04:30:01.050, NVIDIA GeForce RTX 4060 Ti, 38, 9, 8249, 16380, 57.52, 54, 2745, 8751, P2
+2026/07/13 04:30:01.160, NVIDIA GeForce RTX 4060 Ti, 38, 9, 8505, 16380, 57.52, 54, 2745, 8751, P2
+2026/07/13 04:30:01.270, NVIDIA GeForce RTX 4060 Ti, 53, 22, 8825, 16380, 75.22, 56, 2745, 8751, P2
+2026/07/13 04:30:01.380, NVIDIA GeForce RTX 4060 Ti, 53, 22, 9017, 16380, 75.22, 56, 2745, 8751, P2
+2026/07/13 04:30:01.490, NVIDIA GeForce RTX 4060 Ti, 53, 22, 9241, 16380, 75.22, 56, 2745, 8751, P2
+2026/07/13 04:30:01.601, NVIDIA GeForce RTX 4060 Ti, 53, 22, 9465, 16380, 75.22, 56, 2745, 8751, P2
+2026/07/13 04:30:01.711, NVIDIA GeForce RTX 4060 Ti, 50, 22, 9721, 16380, 74.83, 54, 2745, 8751, P2
+2026/07/13 04:30:01.812, NVIDIA GeForce RTX 4060 Ti, 50, 22, 9913, 16380, 74.83, 54, 2745, 8751, P2
+2026/07/13 04:30:01.925, NVIDIA GeForce RTX 4060 Ti, 50, 22, 10265, 16380, 74.83, 54, 2745, 8751, P2
+2026/07/13 04:30:02.036, NVIDIA GeForce RTX 4060 Ti, 50, 22, 10489, 16380, 74.83, 54, 2745, 8751, P2
+2026/07/13 04:30:02.145, NVIDIA GeForce RTX 4060 Ti, 50, 22, 10777, 16380, 74.83, 54, 2745, 8751, P2
+2026/07/13 04:30:02.255, NVIDIA GeForce RTX 4060 Ti, 52, 25, 10969, 16380, 77.13, 55, 2730, 8751, P2
+2026/07/13 04:30:02.366, NVIDIA GeForce RTX 4060 Ti, 52, 25, 11321, 16380, 77.13, 55, 2730, 8751, P2
+2026/07/13 04:30:02.476, NVIDIA GeForce RTX 4060 Ti, 52, 25, 11609, 16380, 77.13, 55, 2730, 8751, P2
+2026/07/13 04:30:02.587, NVIDIA GeForce RTX 4060 Ti, 52, 25, 11801, 16380, 77.13, 55, 2730, 8751, P2
+2026/07/13 04:30:02.696, NVIDIA GeForce RTX 4060 Ti, 59, 34, 12089, 16380, 76.50, 56, 2745, 8751, P2
+2026/07/13 04:30:02.797, NVIDIA GeForce RTX 4060 Ti, 59, 34, 12345, 16380, 76.50, 56, 2745, 8751, P2
+2026/07/13 04:30:02.907, NVIDIA GeForce RTX 4060 Ti, 59, 34, 12633, 16380, 76.50, 56, 2745, 8751, P2
+2026/07/13 04:30:03.017, NVIDIA GeForce RTX 4060 Ti, 59, 34, 12825, 16380, 76.50, 56, 2745, 8751, P2
+2026/07/13 04:30:03.127, NVIDIA GeForce RTX 4060 Ti, 59, 34, 13145, 16380, 76.50, 56, 2745, 8751, P2
+2026/07/13 04:30:03.238, NVIDIA GeForce RTX 4060 Ti, 59, 34, 13337, 16380, 76.90, 54, 2745, 8751, P2
+2026/07/13 04:30:03.348, NVIDIA GeForce RTX 4060 Ti, 59, 34, 13561, 16380, 76.90, 54, 2745, 8751, P2
+2026/07/13 04:30:03.458, NVIDIA GeForce RTX 4060 Ti, 59, 34, 13881, 16380, 76.90, 54, 2745, 8751, P2
+2026/07/13 04:30:03.569, NVIDIA GeForce RTX 4060 Ti, 59, 34, 14105, 16380, 76.90, 54, 2745, 8751, P2
+2026/07/13 04:30:03.679, NVIDIA GeForce RTX 4060 Ti, 55, 33, 14393, 16380, 77.92, 56, 2745, 8751, P2
+2026/07/13 04:30:03.781, NVIDIA GeForce RTX 4060 Ti, 55, 33, 14617, 16380, 77.92, 56, 2745, 8751, P2
+2026/07/13 04:30:03.894, NVIDIA GeForce RTX 4060 Ti, 55, 33, 14905, 16380, 77.92, 56, 2745, 8751, P2
+2026/07/13 04:30:04.003, NVIDIA GeForce RTX 4060 Ti, 55, 33, 15129, 16380, 77.92, 56, 2745, 8751, P2
+2026/07/13 04:30:04.114, NVIDIA GeForce RTX 4060 Ti, 55, 33, 15001, 16380, 77.92, 56, 2745, 8751, P2
+2026/07/13 04:30:04.225, NVIDIA GeForce RTX 4060 Ti, 47, 27, 15161, 16380, 76.37, 55, 2745, 8751, P2
+2026/07/13 04:30:04.336, NVIDIA GeForce RTX 4060 Ti, 47, 27, 15033, 16380, 76.37, 55, 2745, 8751, P2
+2026/07/13 04:30:04.446, NVIDIA GeForce RTX 4060 Ti, 47, 27, 15161, 16380, 76.37, 55, 2745, 8751, P2
+2026/07/13 04:30:04.557, NVIDIA GeForce RTX 4060 Ti, 47, 27, 15193, 16380, 76.37, 55, 2745, 8751, P2
+2026/07/13 04:30:04.667, NVIDIA GeForce RTX 4060 Ti, 47, 27, 15097, 16380, 76.37, 55, 2745, 8751, P2
+2026/07/13 04:30:04.781, NVIDIA GeForce RTX 4060 Ti, 47, 17, 15161, 16380, 72.54, 54, 2730, 8751, P2
+2026/07/13 04:30:04.893, NVIDIA GeForce RTX 4060 Ti, 47, 17, 15065, 16380, 72.54, 54, 2730, 8751, P2
+2026/07/13 04:30:05.002, NVIDIA GeForce RTX 4060 Ti, 47, 17, 15033, 16380, 72.54, 54, 2730, 8751, P2
+2026/07/13 04:30:05.112, NVIDIA GeForce RTX 4060 Ti, 47, 17, 15033, 16380, 72.54, 54, 2730, 8751, P2
+2026/07/13 04:30:05.223, NVIDIA GeForce RTX 4060 Ti, 100, 61, 15033, 16380, 87.41, 64, 2685, 8751, P2
+2026/07/13 04:30:05.334, NVIDIA GeForce RTX 4060 Ti, 100, 61, 15033, 16380, 87.41, 64, 2685, 8751, P2
+2026/07/13 04:30:05.445, NVIDIA GeForce RTX 4060 Ti, 100, 61, 15033, 16380, 87.41, 64, 2685, 8751, P2
+2026/07/13 04:30:05.557, NVIDIA GeForce RTX 4060 Ti, 100, 61, 15033, 16380, 87.41, 64, 2685, 8751, P2
+2026/07/13 04:30:05.666, NVIDIA GeForce RTX 4060 Ti, 100, 61, 15033, 16380, 87.41, 64, 2685, 8751, P2
+2026/07/13 04:30:05.781, NVIDIA GeForce RTX 4060 Ti, 100, 69, 15033, 16380, 121.85, 64, 2715, 8751, P2
+2026/07/13 04:30:05.894, NVIDIA GeForce RTX 4060 Ti, 100, 69, 15033, 16380, 121.85, 64, 2715, 8751, P2
+2026/07/13 04:30:06.005, NVIDIA GeForce RTX 4060 Ti, 100, 69, 15033, 16380, 121.85, 64, 2715, 8751, P2
+2026/07/13 04:30:06.116, NVIDIA GeForce RTX 4060 Ti, 100, 69, 15033, 16380, 121.85, 64, 2715, 8751, P2
+2026/07/13 04:30:06.227, NVIDIA GeForce RTX 4060 Ti, 100, 67, 15033, 16380, 148.28, 67, 2700, 8751, P2
+2026/07/13 04:30:06.338, NVIDIA GeForce RTX 4060 Ti, 100, 67, 15033, 16380, 148.28, 67, 2700, 8751, P2
+2026/07/13 04:30:06.449, NVIDIA GeForce RTX 4060 Ti, 100, 67, 15033, 16380, 148.28, 67, 2700, 8751, P2
+2026/07/13 04:30:06.558, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14617, 16380, 148.28, 67, 2700, 8751, P2
+2026/07/13 04:30:06.666, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14617, 16380, 148.28, 67, 2700, 8751, P2
+2026/07/13 04:30:06.781, NVIDIA GeForce RTX 4060 Ti, 96, 65, 14617, 16380, 146.92, 64, 2685, 8751, P2
+2026/07/13 04:30:06.895, NVIDIA GeForce RTX 4060 Ti, 96, 65, 14617, 16380, 146.92, 64, 2685, 8751, P2
+2026/07/13 04:30:07.006, NVIDIA GeForce RTX 4060 Ti, 96, 65, 14617, 16380, 146.92, 64, 2685, 8751, P2
+2026/07/13 04:30:07.117, NVIDIA GeForce RTX 4060 Ti, 96, 65, 14617, 16380, 146.92, 64, 2685, 8751, P2
+2026/07/13 04:30:07.228, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14617, 16380, 148.13, 68, 2700, 8751, P2
+2026/07/13 04:30:07.337, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14617, 16380, 148.13, 68, 2700, 8751, P2
+2026/07/13 04:30:07.447, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14617, 16380, 148.13, 68, 2700, 8751, P2
+2026/07/13 04:30:07.555, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14617, 16380, 148.13, 68, 2700, 8751, P2
+2026/07/13 04:30:07.665, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14617, 16380, 148.13, 68, 2700, 8751, P2
+2026/07/13 04:30:07.769, NVIDIA GeForce RTX 4060 Ti, 100, 63, 14617, 16380, 148.64, 67, 2730, 8751, P2
+2026/07/13 04:30:07.878, NVIDIA GeForce RTX 4060 Ti, 100, 63, 14617, 16380, 148.64, 67, 2730, 8751, P2
+2026/07/13 04:30:07.989, NVIDIA GeForce RTX 4060 Ti, 100, 63, 14617, 16380, 148.64, 67, 2730, 8751, P2
+2026/07/13 04:30:08.099, NVIDIA GeForce RTX 4060 Ti, 100, 63, 14617, 16380, 148.64, 67, 2730, 8751, P2
+2026/07/13 04:30:08.208, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14617, 16380, 149.22, 64, 2730, 8751, P2
+2026/07/13 04:30:08.317, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14617, 16380, 149.22, 64, 2730, 8751, P2
+2026/07/13 04:30:08.428, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14617, 16380, 149.22, 64, 2730, 8751, P2
+2026/07/13 04:30:08.538, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14617, 16380, 149.22, 64, 2730, 8751, P2
+2026/07/13 04:30:08.649, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14617, 16380, 149.22, 64, 2730, 8751, P2
+2026/07/13 04:30:08.764, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14617, 16380, 148.50, 66, 2640, 8751, P2
+2026/07/13 04:30:08.878, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14617, 16380, 148.50, 66, 2640, 8751, P2
+2026/07/13 04:30:08.987, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14617, 16380, 148.50, 66, 2640, 8751, P2
+2026/07/13 04:30:09.096, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14617, 16380, 148.50, 66, 2640, 8751, P2
+2026/07/13 04:30:09.206, NVIDIA GeForce RTX 4060 Ti, 100, 62, 14617, 16380, 148.13, 67, 2730, 8751, P2
+2026/07/13 04:30:09.316, NVIDIA GeForce RTX 4060 Ti, 100, 62, 14617, 16380, 148.13, 67, 2730, 8751, P2
+2026/07/13 04:30:09.427, NVIDIA GeForce RTX 4060 Ti, 100, 62, 14617, 16380, 148.13, 67, 2730, 8751, P2
+2026/07/13 04:30:09.539, NVIDIA GeForce RTX 4060 Ti, 100, 62, 14617, 16380, 148.13, 67, 2730, 8751, P2
+2026/07/13 04:30:09.650, NVIDIA GeForce RTX 4060 Ti, 100, 62, 14617, 16380, 148.13, 67, 2730, 8751, P2
+2026/07/13 04:30:09.763, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14617, 16380, 148.68, 67, 2655, 8751, P2
+2026/07/13 04:30:09.878, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14617, 16380, 148.68, 67, 2655, 8751, P2
+2026/07/13 04:30:09.988, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14617, 16380, 148.68, 67, 2655, 8751, P2
+2026/07/13 04:30:10.100, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14617, 16380, 148.68, 67, 2655, 8751, P2
+2026/07/13 04:30:10.211, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14617, 16380, 148.30, 67, 2730, 8751, P2
+2026/07/13 04:30:10.322, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14617, 16380, 148.30, 67, 2730, 8751, P2
+2026/07/13 04:30:10.433, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14617, 16380, 148.30, 67, 2730, 8751, P2
+2026/07/13 04:30:10.544, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14617, 16380, 148.30, 67, 2730, 8751, P2
+2026/07/13 04:30:10.656, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14617, 16380, 148.30, 67, 2730, 8751, P2
+2026/07/13 04:30:10.763, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14617, 16380, 148.00, 66, 2685, 8751, P2
+2026/07/13 04:30:10.879, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14617, 16380, 148.00, 66, 2685, 8751, P2
+2026/07/13 04:30:10.991, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14617, 16380, 148.00, 66, 2685, 8751, P2
+2026/07/13 04:30:11.103, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14617, 16380, 148.00, 66, 2685, 8751, P2
+2026/07/13 04:30:11.215, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14617, 16380, 148.41, 68, 2670, 8751, P2
+2026/07/13 04:30:11.327, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14617, 16380, 148.41, 68, 2670, 8751, P2
+2026/07/13 04:30:11.437, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14617, 16380, 148.41, 68, 2670, 8751, P2
+2026/07/13 04:30:11.546, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14617, 16380, 148.41, 68, 2670, 8751, P2
+2026/07/13 04:30:11.658, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14617, 16380, 148.41, 68, 2670, 8751, P2
+2026/07/13 04:30:11.763, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14617, 16380, 147.19, 66, 2715, 8751, P2
+2026/07/13 04:30:11.878, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14617, 16380, 147.19, 66, 2715, 8751, P2
+2026/07/13 04:30:11.990, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14617, 16380, 147.19, 66, 2715, 8751, P2
+2026/07/13 04:30:12.102, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14617, 16380, 147.19, 66, 2715, 8751, P2
+2026/07/13 04:30:12.211, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14617, 16380, 148.24, 69, 2655, 8751, P2
+2026/07/13 04:30:12.320, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14617, 16380, 148.24, 69, 2655, 8751, P2
+2026/07/13 04:30:12.430, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14617, 16380, 148.24, 69, 2655, 8751, P2
+2026/07/13 04:30:12.539, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14617, 16380, 148.24, 69, 2655, 8751, P2
+2026/07/13 04:30:12.648, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14617, 16380, 148.24, 69, 2655, 8751, P2
+2026/07/13 04:30:12.763, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14617, 16380, 148.46, 68, 2655, 8751, P2
+2026/07/13 04:30:12.878, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14617, 16380, 148.46, 68, 2655, 8751, P2
+2026/07/13 04:30:12.989, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14617, 16380, 148.46, 68, 2655, 8751, P2
+2026/07/13 04:30:13.099, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14585, 16380, 148.46, 68, 2655, 8751, P2
+2026/07/13 04:30:13.209, NVIDIA GeForce RTX 4060 Ti, 98, 70, 14585, 16380, 148.36, 68, 2670, 8751, P2
+2026/07/13 04:30:13.320, NVIDIA GeForce RTX 4060 Ti, 98, 70, 14585, 16380, 148.36, 68, 2670, 8751, P2
+2026/07/13 04:30:13.432, NVIDIA GeForce RTX 4060 Ti, 98, 70, 14585, 16380, 148.36, 68, 2670, 8751, P2
+2026/07/13 04:30:13.543, NVIDIA GeForce RTX 4060 Ti, 98, 70, 14585, 16380, 148.36, 68, 2670, 8751, P2
+2026/07/13 04:30:13.655, NVIDIA GeForce RTX 4060 Ti, 98, 70, 14585, 16380, 148.36, 68, 2670, 8751, P2
+2026/07/13 04:30:13.764, NVIDIA GeForce RTX 4060 Ti, 100, 62, 14585, 16380, 148.36, 68, 2610, 8751, P2
+2026/07/13 04:30:13.878, NVIDIA GeForce RTX 4060 Ti, 100, 62, 14585, 16380, 148.36, 68, 2610, 8751, P2
+2026/07/13 04:30:13.989, NVIDIA GeForce RTX 4060 Ti, 100, 62, 14585, 16380, 148.36, 68, 2610, 8751, P2
+2026/07/13 04:30:14.100, NVIDIA GeForce RTX 4060 Ti, 100, 62, 14585, 16380, 148.36, 68, 2610, 8751, P2
+2026/07/13 04:30:14.211, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14585, 16380, 148.55, 68, 2730, 8751, P2
+2026/07/13 04:30:14.322, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14585, 16380, 148.55, 68, 2730, 8751, P2
+2026/07/13 04:30:14.434, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14585, 16380, 148.55, 68, 2730, 8751, P2
+2026/07/13 04:30:14.545, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14585, 16380, 148.55, 68, 2730, 8751, P2
+2026/07/13 04:30:14.656, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14585, 16380, 148.55, 68, 2730, 8751, P2
+2026/07/13 04:30:14.763, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14585, 16380, 148.85, 66, 2730, 8751, P2
+2026/07/13 04:30:14.877, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14585, 16380, 148.85, 66, 2730, 8751, P2
+2026/07/13 04:30:14.989, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14585, 16380, 148.85, 66, 2730, 8751, P2
+2026/07/13 04:30:15.099, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14585, 16380, 148.85, 66, 2730, 8751, P2
+2026/07/13 04:30:15.210, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14585, 16380, 148.29, 68, 2730, 8751, P2
+2026/07/13 04:30:15.322, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14585, 16380, 148.29, 68, 2730, 8751, P2
+2026/07/13 04:30:15.432, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14585, 16380, 148.29, 68, 2730, 8751, P2
+2026/07/13 04:30:15.533, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14585, 16380, 148.29, 68, 2730, 8751, P2
+2026/07/13 04:30:15.635, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14585, 16380, 148.29, 68, 2730, 8751, P2
+2026/07/13 04:30:15.739, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14585, 16380, 148.89, 68, 2670, 8751, P2
+2026/07/13 04:30:15.848, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14585, 16380, 148.89, 68, 2670, 8751, P2
+2026/07/13 04:30:15.961, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14585, 16380, 148.89, 68, 2670, 8751, P2
+2026/07/13 04:30:16.076, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14585, 16380, 148.89, 68, 2670, 8751, P2
+2026/07/13 04:30:16.187, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14585, 16380, 149.12, 68, 2505, 8751, P2
+2026/07/13 04:30:16.298, NVIDIA GeForce RTX 4060 Ti, 100, 68, 13785, 16380, 149.12, 68, 2505, 8751, P2
+2026/07/13 04:30:16.398, NVIDIA GeForce RTX 4060 Ti, 100, 68, 13915, 16380, 149.12, 68, 2505, 8751, P2
+2026/07/13 04:30:16.510, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14747, 16380, 149.12, 68, 2505, 8751, P2
+2026/07/13 04:30:16.621, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14907, 16380, 149.12, 68, 2505, 8751, P2
+2026/07/13 04:30:16.730, NVIDIA GeForce RTX 4060 Ti, 96, 64, 14907, 16380, 128.39, 64, 2730, 8751, P2
+2026/07/13 04:30:16.845, NVIDIA GeForce RTX 4060 Ti, 96, 64, 13627, 16380, 128.39, 64, 2730, 8751, P2
+2026/07/13 04:30:16.955, NVIDIA GeForce RTX 4060 Ti, 96, 64, 13627, 16380, 128.39, 64, 2730, 8751, P2
+2026/07/13 04:30:17.056, NVIDIA GeForce RTX 4060 Ti, 96, 64, 13627, 16380, 128.39, 64, 2730, 8751, P2
+2026/07/13 04:30:17.163, NVIDIA GeForce RTX 4060 Ti, 96, 64, 13627, 16380, 128.39, 64, 2730, 8751, P2
+2026/07/13 04:30:17.274, NVIDIA GeForce RTX 4060 Ti, 0, 0, 14331, 16380, 87.98, 55, 2730, 8751, P2
+2026/07/13 04:30:17.385, NVIDIA GeForce RTX 4060 Ti, 0, 0, 14331, 16380, 87.98, 55, 2730, 8751, P2
+2026/07/13 04:30:17.496, NVIDIA GeForce RTX 4060 Ti, 0, 0, 14331, 16380, 87.98, 55, 2730, 8751, P2
+2026/07/13 04:30:17.607, NVIDIA GeForce RTX 4060 Ti, 0, 0, 14331, 16380, 87.98, 55, 2730, 8751, P2
+2026/07/13 04:30:17.708, NVIDIA GeForce RTX 4060 Ti, 100, 63, 14331, 16380, 90.63, 67, 2595, 8751, P2
+2026/07/13 04:30:17.813, NVIDIA GeForce RTX 4060 Ti, 100, 63, 14331, 16380, 90.63, 67, 2595, 8751, P2
+2026/07/13 04:30:17.915, NVIDIA GeForce RTX 4060 Ti, 100, 63, 14331, 16380, 90.63, 67, 2595, 8751, P2
+2026/07/13 04:30:18.029, NVIDIA GeForce RTX 4060 Ti, 100, 63, 14331, 16380, 90.63, 67, 2595, 8751, P2
+2026/07/13 04:30:18.138, NVIDIA GeForce RTX 4060 Ti, 100, 63, 14331, 16380, 90.63, 67, 2595, 8751, P2
+2026/07/13 04:30:18.249, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14331, 16380, 124.06, 68, 2730, 8751, P2
+2026/07/13 04:30:18.360, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14331, 16380, 124.06, 68, 2730, 8751, P2
+2026/07/13 04:30:18.471, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14331, 16380, 124.06, 68, 2730, 8751, P2
+2026/07/13 04:30:18.579, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14331, 16380, 124.06, 68, 2730, 8751, P2
+2026/07/13 04:30:18.692, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 148.86, 67, 2685, 8751, P2
+2026/07/13 04:30:18.797, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 148.86, 67, 2685, 8751, P2
+2026/07/13 04:30:18.909, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 148.86, 67, 2685, 8751, P2
+2026/07/13 04:30:19.017, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 148.86, 67, 2685, 8751, P2
+2026/07/13 04:30:19.128, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 148.86, 67, 2685, 8751, P2
+2026/07/13 04:30:19.238, NVIDIA GeForce RTX 4060 Ti, 100, 63, 14331, 16380, 148.31, 69, 2730, 8751, P2
+2026/07/13 04:30:19.349, NVIDIA GeForce RTX 4060 Ti, 100, 63, 14331, 16380, 148.31, 69, 2730, 8751, P2
+2026/07/13 04:30:19.460, NVIDIA GeForce RTX 4060 Ti, 100, 63, 14331, 16380, 148.31, 69, 2730, 8751, P2
+2026/07/13 04:30:19.572, NVIDIA GeForce RTX 4060 Ti, 100, 63, 14331, 16380, 148.31, 69, 2730, 8751, P2
+2026/07/13 04:30:19.682, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 148.72, 68, 2640, 8751, P2
+2026/07/13 04:30:19.797, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 148.72, 68, 2640, 8751, P2
+2026/07/13 04:30:19.909, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 148.72, 68, 2640, 8751, P2
+2026/07/13 04:30:20.019, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 148.72, 68, 2640, 8751, P2
+2026/07/13 04:30:20.129, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 148.72, 68, 2640, 8751, P2
+2026/07/13 04:30:20.239, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14331, 16380, 148.46, 69, 2505, 8751, P2
+2026/07/13 04:30:20.349, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14331, 16380, 148.46, 69, 2505, 8751, P2
+2026/07/13 04:30:20.458, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14331, 16380, 148.46, 69, 2505, 8751, P2
+2026/07/13 04:30:20.568, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14331, 16380, 148.46, 69, 2505, 8751, P2
+2026/07/13 04:30:20.683, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14331, 16380, 148.36, 68, 2640, 8751, P2
+2026/07/13 04:30:20.797, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14331, 16380, 148.36, 68, 2640, 8751, P2
+2026/07/13 04:30:20.909, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14331, 16380, 148.36, 68, 2640, 8751, P2
+2026/07/13 04:30:21.021, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14331, 16380, 148.36, 68, 2640, 8751, P2
+2026/07/13 04:30:21.132, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14331, 16380, 148.36, 68, 2640, 8751, P2
+2026/07/13 04:30:21.243, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 149.42, 69, 2520, 8751, P2
+2026/07/13 04:30:21.354, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 149.42, 69, 2520, 8751, P2
+2026/07/13 04:30:21.464, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 149.42, 69, 2520, 8751, P2
+2026/07/13 04:30:21.576, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 149.42, 69, 2520, 8751, P2
+2026/07/13 04:30:21.686, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.57, 68, 2715, 8751, P2
+2026/07/13 04:30:21.797, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.57, 68, 2715, 8751, P2
+2026/07/13 04:30:21.909, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.57, 68, 2715, 8751, P2
+2026/07/13 04:30:22.020, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.57, 68, 2715, 8751, P2
+2026/07/13 04:30:22.122, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.57, 68, 2715, 8751, P2
+2026/07/13 04:30:22.231, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 148.48, 67, 2700, 8751, P2
+2026/07/13 04:30:22.332, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 148.48, 67, 2700, 8751, P2
+2026/07/13 04:30:22.435, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 148.48, 67, 2700, 8751, P2
+2026/07/13 04:30:22.547, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 148.48, 67, 2700, 8751, P2
+2026/07/13 04:30:22.661, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 148.48, 67, 2700, 8751, P2
+2026/07/13 04:30:22.763, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.09, 67, 2700, 8751, P2
+2026/07/13 04:30:22.878, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.09, 67, 2700, 8751, P2
+2026/07/13 04:30:22.989, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.09, 67, 2700, 8751, P2
+2026/07/13 04:30:23.101, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.09, 67, 2700, 8751, P2
+2026/07/13 04:30:23.212, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 147.90, 67, 2700, 8751, P2
+2026/07/13 04:30:23.324, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 147.90, 67, 2700, 8751, P2
+2026/07/13 04:30:23.435, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 147.90, 67, 2700, 8751, P2
+2026/07/13 04:30:23.546, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 147.90, 67, 2700, 8751, P2
+2026/07/13 04:30:23.658, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 147.90, 67, 2700, 8751, P2
+2026/07/13 04:30:23.763, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14331, 16380, 148.90, 70, 2670, 8751, P2
+2026/07/13 04:30:23.878, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14331, 16380, 148.90, 70, 2670, 8751, P2
+2026/07/13 04:30:23.990, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14331, 16380, 148.90, 70, 2670, 8751, P2
+2026/07/13 04:30:24.101, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14331, 16380, 148.90, 70, 2670, 8751, P2
+2026/07/13 04:30:24.211, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 147.91, 67, 2715, 8751, P2
+2026/07/13 04:30:24.323, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 147.91, 67, 2715, 8751, P2
+2026/07/13 04:30:24.434, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 147.91, 67, 2715, 8751, P2
+2026/07/13 04:30:24.545, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 147.91, 67, 2715, 8751, P2
+2026/07/13 04:30:24.654, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 147.91, 67, 2715, 8751, P2
+2026/07/13 04:30:24.759, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14331, 16380, 148.90, 70, 2670, 8751, P2
+2026/07/13 04:30:24.862, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14331, 16380, 148.90, 70, 2670, 8751, P2
+2026/07/13 04:30:24.973, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14331, 16380, 148.90, 70, 2670, 8751, P2
+2026/07/13 04:30:25.084, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14331, 16380, 148.90, 70, 2670, 8751, P2
+2026/07/13 04:30:25.195, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.92, 69, 2715, 8751, P2
+2026/07/13 04:30:25.305, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.92, 69, 2715, 8751, P2
+2026/07/13 04:30:25.417, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.92, 69, 2715, 8751, P2
+2026/07/13 04:30:25.528, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.92, 69, 2715, 8751, P2
+2026/07/13 04:30:25.639, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14331, 16380, 148.92, 69, 2715, 8751, P2
+2026/07/13 04:30:25.752, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 148.83, 71, 2655, 8751, P2
+2026/07/13 04:30:25.862, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 148.83, 71, 2655, 8751, P2
+2026/07/13 04:30:25.973, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 148.83, 71, 2655, 8751, P2
+2026/07/13 04:30:26.080, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14331, 16380, 148.83, 71, 2655, 8751, P2
+2026/07/13 04:30:26.192, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14331, 16380, 148.39, 69, 2700, 8751, P2
+2026/07/13 04:30:26.303, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14331, 16380, 148.39, 69, 2700, 8751, P2
+2026/07/13 04:30:26.414, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14331, 16380, 148.39, 69, 2700, 8751, P2
+2026/07/13 04:30:26.525, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14331, 16380, 148.39, 69, 2700, 8751, P2
+2026/07/13 04:30:26.628, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14331, 16380, 148.39, 69, 2700, 8751, P2
+2026/07/13 04:30:26.739, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14331, 16380, 149.43, 70, 2730, 8751, P2
+2026/07/13 04:30:26.847, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14331, 16380, 149.43, 70, 2730, 8751, P2
+2026/07/13 04:30:26.958, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14331, 16380, 149.43, 70, 2730, 8751, P2
+2026/07/13 04:30:27.070, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14331, 16380, 149.43, 70, 2730, 8751, P2
+2026/07/13 04:30:27.181, NVIDIA GeForce RTX 4060 Ti, 98, 64, 14331, 16380, 148.97, 69, 2670, 8751, P2
+2026/07/13 04:30:27.291, NVIDIA GeForce RTX 4060 Ti, 98, 64, 14331, 16380, 148.97, 69, 2670, 8751, P2
+2026/07/13 04:30:27.402, NVIDIA GeForce RTX 4060 Ti, 98, 64, 14331, 16380, 148.97, 69, 2670, 8751, P2
+2026/07/13 04:30:27.513, NVIDIA GeForce RTX 4060 Ti, 98, 64, 14331, 16380, 148.97, 69, 2670, 8751, P2
+2026/07/13 04:30:27.615, NVIDIA GeForce RTX 4060 Ti, 98, 64, 14331, 16380, 148.97, 69, 2670, 8751, P2
+2026/07/13 04:30:27.726, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14331, 16380, 148.54, 70, 2730, 8751, P2
+2026/07/13 04:30:27.831, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14331, 16380, 148.54, 70, 2730, 8751, P2
+2026/07/13 04:30:27.931, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14331, 16380, 148.54, 70, 2730, 8751, P2
+2026/07/13 04:30:28.031, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14331, 16380, 148.54, 70, 2730, 8751, P2
+2026/07/13 04:30:28.146, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14331, 16380, 148.54, 70, 2730, 8751, P2
+2026/07/13 04:30:28.256, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 149.70, 69, 2655, 8751, P2
+2026/07/13 04:30:28.363, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 149.70, 69, 2655, 8751, P2
+2026/07/13 04:30:28.474, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 149.70, 69, 2655, 8751, P2
+2026/07/13 04:30:28.579, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 149.70, 69, 2655, 8751, P2
+2026/07/13 04:30:28.690, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14331, 16380, 149.99, 69, 2595, 8751, P2
+2026/07/13 04:30:28.797, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14331, 16380, 149.99, 69, 2595, 8751, P2
+2026/07/13 04:30:28.909, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14331, 16380, 149.99, 69, 2595, 8751, P2
+2026/07/13 04:30:29.020, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14331, 16380, 149.99, 69, 2595, 8751, P2
+2026/07/13 04:30:29.130, NVIDIA GeForce RTX 4060 Ti, 100, 64, 14331, 16380, 149.99, 69, 2595, 8751, P2
+2026/07/13 04:30:29.241, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 149.52, 69, 2655, 8751, P2
+2026/07/13 04:30:29.352, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 149.52, 69, 2655, 8751, P2
+2026/07/13 04:30:29.463, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 149.52, 69, 2655, 8751, P2
+2026/07/13 04:30:29.573, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14331, 16380, 149.52, 69, 2655, 8751, P2
+2026/07/13 04:30:29.683, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14331, 16380, 149.40, 70, 2625, 8751, P2
+2026/07/13 04:30:29.797, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14331, 16380, 149.40, 70, 2625, 8751, P2
+2026/07/13 04:30:29.909, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14331, 16380, 149.40, 70, 2625, 8751, P2
+2026/07/13 04:30:30.020, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14331, 16380, 149.40, 70, 2625, 8751, P2
+2026/07/13 04:30:30.131, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14331, 16380, 149.40, 70, 2625, 8751, P2
+2026/07/13 04:30:30.240, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14331, 16380, 150.07, 69, 2730, 8751, P2
+2026/07/13 04:30:30.350, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14523, 16380, 150.07, 69, 2730, 8751, P2
+2026/07/13 04:30:30.461, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14523, 16380, 150.07, 69, 2730, 8751, P2
+2026/07/13 04:30:30.572, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14587, 16380, 150.07, 69, 2730, 8751, P2
+2026/07/13 04:30:30.683, NVIDIA GeForce RTX 4060 Ti, 100, 87, 13275, 16380, 137.48, 65, 2730, 8751, P2
+2026/07/13 04:30:30.797, NVIDIA GeForce RTX 4060 Ti, 100, 87, 13275, 16380, 137.48, 65, 2730, 8751, P2
+2026/07/13 04:30:30.908, NVIDIA GeForce RTX 4060 Ti, 100, 87, 13275, 16380, 137.48, 65, 2730, 8751, P2
+2026/07/13 04:30:31.019, NVIDIA GeForce RTX 4060 Ti, 100, 87, 13275, 16380, 137.48, 65, 2730, 8751, P2
+2026/07/13 04:30:31.132, NVIDIA GeForce RTX 4060 Ti, 100, 87, 13275, 16380, 137.48, 65, 2730, 8751, P2
+2026/07/13 04:30:31.244, NVIDIA GeForce RTX 4060 Ti, 0, 0, 13339, 16380, 91.13, 56, 2745, 8751, P2
+2026/07/13 04:30:31.352, NVIDIA GeForce RTX 4060 Ti, 0, 0, 13947, 16380, 91.13, 56, 2745, 8751, P2
+2026/07/13 04:30:31.462, NVIDIA GeForce RTX 4060 Ti, 0, 0, 13947, 16380, 91.13, 56, 2745, 8751, P2
+2026/07/13 04:30:31.573, NVIDIA GeForce RTX 4060 Ti, 0, 0, 13947, 16380, 91.13, 56, 2745, 8751, P2
+2026/07/13 04:30:31.684, NVIDIA GeForce RTX 4060 Ti, 100, 63, 13947, 16380, 82.78, 69, 2730, 8751, P2
+2026/07/13 04:30:31.796, NVIDIA GeForce RTX 4060 Ti, 100, 63, 13947, 16380, 82.78, 69, 2730, 8751, P2
+2026/07/13 04:30:31.910, NVIDIA GeForce RTX 4060 Ti, 100, 63, 13947, 16380, 82.78, 69, 2730, 8751, P2
+2026/07/13 04:30:32.021, NVIDIA GeForce RTX 4060 Ti, 100, 63, 13979, 16380, 82.78, 69, 2730, 8751, P2
+2026/07/13 04:30:32.132, NVIDIA GeForce RTX 4060 Ti, 100, 63, 13979, 16380, 82.78, 69, 2730, 8751, P2
+2026/07/13 04:30:32.243, NVIDIA GeForce RTX 4060 Ti, 100, 65, 13979, 16380, 123.37, 69, 2655, 8751, P2
+2026/07/13 04:30:32.354, NVIDIA GeForce RTX 4060 Ti, 100, 65, 13979, 16380, 123.37, 69, 2655, 8751, P2
+2026/07/13 04:30:32.465, NVIDIA GeForce RTX 4060 Ti, 100, 65, 13979, 16380, 123.37, 69, 2655, 8751, P2
+2026/07/13 04:30:32.576, NVIDIA GeForce RTX 4060 Ti, 100, 65, 13979, 16380, 123.37, 69, 2655, 8751, P2
+2026/07/13 04:30:32.687, NVIDIA GeForce RTX 4060 Ti, 100, 68, 13979, 16380, 149.38, 70, 2505, 8751, P2
+2026/07/13 04:30:32.798, NVIDIA GeForce RTX 4060 Ti, 100, 68, 13979, 16380, 149.38, 70, 2505, 8751, P2
+2026/07/13 04:30:32.910, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 149.38, 70, 2505, 8751, P2
+2026/07/13 04:30:33.019, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 149.38, 70, 2505, 8751, P2
+2026/07/13 04:30:33.130, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 149.38, 70, 2505, 8751, P2
+2026/07/13 04:30:33.241, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14043, 16380, 148.82, 69, 2640, 8751, P2
+2026/07/13 04:30:33.351, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14043, 16380, 148.82, 69, 2640, 8751, P2
+2026/07/13 04:30:33.461, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14043, 16380, 148.82, 69, 2640, 8751, P2
+2026/07/13 04:30:33.572, NVIDIA GeForce RTX 4060 Ti, 100, 65, 14043, 16380, 148.82, 69, 2640, 8751, P2
+2026/07/13 04:30:33.681, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 149.43, 70, 2505, 8751, P2
+2026/07/13 04:30:33.782, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 149.43, 70, 2505, 8751, P2
+2026/07/13 04:30:33.894, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 149.43, 70, 2505, 8751, P2
+2026/07/13 04:30:34.004, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 149.43, 70, 2505, 8751, P2
+2026/07/13 04:30:34.116, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 149.43, 70, 2505, 8751, P2
+2026/07/13 04:30:34.227, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.56, 68, 2715, 8751, P2
+2026/07/13 04:30:34.337, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.56, 68, 2715, 8751, P2
+2026/07/13 04:30:34.448, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.56, 68, 2715, 8751, P2
+2026/07/13 04:30:34.563, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.56, 68, 2715, 8751, P2
+2026/07/13 04:30:34.673, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.56, 68, 2715, 8751, P2
+2026/07/13 04:30:34.781, NVIDIA GeForce RTX 4060 Ti, 97, 69, 14043, 16380, 148.87, 70, 2505, 8751, P2
+2026/07/13 04:30:34.895, NVIDIA GeForce RTX 4060 Ti, 97, 69, 14043, 16380, 148.87, 70, 2505, 8751, P2
+2026/07/13 04:30:34.996, NVIDIA GeForce RTX 4060 Ti, 97, 69, 14043, 16380, 148.87, 70, 2505, 8751, P2
+2026/07/13 04:30:35.109, NVIDIA GeForce RTX 4060 Ti, 97, 69, 14043, 16380, 148.87, 70, 2505, 8751, P2
+2026/07/13 04:30:35.221, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.24, 68, 2715, 8751, P2
+2026/07/13 04:30:35.331, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.24, 68, 2715, 8751, P2
+2026/07/13 04:30:35.442, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.24, 68, 2715, 8751, P2
+2026/07/13 04:30:35.544, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.24, 68, 2715, 8751, P2
+2026/07/13 04:30:35.647, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.24, 68, 2715, 8751, P2
+2026/07/13 04:30:35.747, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14043, 16380, 148.65, 69, 2640, 8751, P2
+2026/07/13 04:30:35.848, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14043, 16380, 148.65, 69, 2640, 8751, P2
+2026/07/13 04:30:35.963, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14043, 16380, 148.65, 69, 2640, 8751, P2
+2026/07/13 04:30:36.076, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14043, 16380, 148.65, 69, 2640, 8751, P2
+2026/07/13 04:30:36.179, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.29, 70, 2505, 8751, P2
+2026/07/13 04:30:36.281, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.29, 70, 2505, 8751, P2
+2026/07/13 04:30:36.396, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.29, 70, 2505, 8751, P2
+2026/07/13 04:30:36.497, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.29, 70, 2505, 8751, P2
+2026/07/13 04:30:36.612, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.29, 70, 2505, 8751, P2
+2026/07/13 04:30:36.713, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14043, 16380, 148.35, 69, 2640, 8751, P2
+2026/07/13 04:30:36.813, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14043, 16380, 148.35, 69, 2640, 8751, P2
+2026/07/13 04:30:36.927, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14043, 16380, 148.35, 69, 2640, 8751, P2
+2026/07/13 04:30:37.037, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14043, 16380, 148.35, 69, 2640, 8751, P2
+2026/07/13 04:30:37.147, NVIDIA GeForce RTX 4060 Ti, 100, 66, 14043, 16380, 148.35, 69, 2640, 8751, P2
+2026/07/13 04:30:37.256, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.84, 70, 2505, 8751, P2
+2026/07/13 04:30:37.367, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.84, 70, 2505, 8751, P2
+2026/07/13 04:30:37.477, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.84, 70, 2505, 8751, P2
+2026/07/13 04:30:37.588, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.84, 70, 2505, 8751, P2
+2026/07/13 04:30:37.698, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.19, 69, 2715, 8751, P2
+2026/07/13 04:30:37.798, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.19, 69, 2715, 8751, P2
+2026/07/13 04:30:37.909, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.19, 69, 2715, 8751, P2
+2026/07/13 04:30:38.019, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.19, 69, 2715, 8751, P2
+2026/07/13 04:30:38.131, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.19, 69, 2715, 8751, P2
+2026/07/13 04:30:38.245, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.83, 70, 2505, 8751, P2
+2026/07/13 04:30:38.346, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.83, 70, 2505, 8751, P2
+2026/07/13 04:30:38.447, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.83, 70, 2505, 8751, P2
+2026/07/13 04:30:38.561, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.83, 70, 2505, 8751, P2
+2026/07/13 04:30:38.665, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.83, 70, 2505, 8751, P2
+2026/07/13 04:30:38.765, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.68, 69, 2715, 8751, P2
+2026/07/13 04:30:38.879, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.68, 69, 2715, 8751, P2
+2026/07/13 04:30:38.990, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.68, 69, 2715, 8751, P2
+2026/07/13 04:30:39.101, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.68, 69, 2715, 8751, P2
+2026/07/13 04:30:39.212, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 149.02, 68, 2640, 8751, P2
+2026/07/13 04:30:39.323, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 149.02, 68, 2640, 8751, P2
+2026/07/13 04:30:39.434, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 149.02, 68, 2640, 8751, P2
+2026/07/13 04:30:39.548, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 149.02, 68, 2640, 8751, P2
+2026/07/13 04:30:39.660, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 149.02, 68, 2640, 8751, P2
+2026/07/13 04:30:39.765, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.62, 69, 2715, 8751, P2
+2026/07/13 04:30:39.878, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.62, 69, 2715, 8751, P2
+2026/07/13 04:30:39.979, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.62, 69, 2715, 8751, P2
+2026/07/13 04:30:40.080, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.62, 69, 2715, 8751, P2
+2026/07/13 04:30:40.182, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.21, 68, 2640, 8751, P2
+2026/07/13 04:30:40.297, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.21, 68, 2640, 8751, P2
+2026/07/13 04:30:40.398, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.21, 68, 2640, 8751, P2
+2026/07/13 04:30:40.513, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.21, 68, 2640, 8751, P2
+2026/07/13 04:30:40.629, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.21, 68, 2640, 8751, P2
+2026/07/13 04:30:40.740, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.98, 70, 2505, 8751, P2
+2026/07/13 04:30:40.847, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.98, 70, 2505, 8751, P2
+2026/07/13 04:30:40.959, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.98, 70, 2505, 8751, P2
+2026/07/13 04:30:41.069, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.98, 70, 2505, 8751, P2
+2026/07/13 04:30:41.178, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.98, 70, 2505, 8751, P2
+2026/07/13 04:30:41.289, NVIDIA GeForce RTX 4060 Ti, 98, 62, 14043, 16380, 147.97, 69, 2640, 8751, P2
+2026/07/13 04:30:41.400, NVIDIA GeForce RTX 4060 Ti, 98, 62, 14043, 16380, 147.97, 69, 2640, 8751, P2
+2026/07/13 04:30:41.511, NVIDIA GeForce RTX 4060 Ti, 98, 62, 14043, 16380, 147.97, 69, 2640, 8751, P2
+2026/07/13 04:30:41.622, NVIDIA GeForce RTX 4060 Ti, 98, 62, 14043, 16380, 147.97, 69, 2640, 8751, P2
+2026/07/13 04:30:41.733, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.69, 70, 2505, 8751, P2
+2026/07/13 04:30:41.847, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.69, 70, 2505, 8751, P2
+2026/07/13 04:30:41.957, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.69, 70, 2505, 8751, P2
+2026/07/13 04:30:42.059, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.69, 70, 2505, 8751, P2
+2026/07/13 04:30:42.164, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.69, 70, 2505, 8751, P2
+2026/07/13 04:30:42.282, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.24, 68, 2715, 8751, P2
+2026/07/13 04:30:42.398, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.24, 68, 2715, 8751, P2
+2026/07/13 04:30:42.513, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.24, 68, 2715, 8751, P2
+2026/07/13 04:30:42.614, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.24, 68, 2715, 8751, P2
+2026/07/13 04:30:42.715, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.91, 69, 2640, 8751, P2
+2026/07/13 04:30:42.829, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.91, 69, 2640, 8751, P2
+2026/07/13 04:30:42.931, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.91, 69, 2640, 8751, P2
+2026/07/13 04:30:43.032, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.91, 69, 2640, 8751, P2
+2026/07/13 04:30:43.142, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.91, 69, 2640, 8751, P2
+2026/07/13 04:30:43.253, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.51, 68, 2715, 8751, P2
+2026/07/13 04:30:43.364, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.51, 68, 2715, 8751, P2
+2026/07/13 04:30:43.475, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.51, 68, 2715, 8751, P2
+2026/07/13 04:30:43.578, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.51, 68, 2715, 8751, P2
+2026/07/13 04:30:43.694, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.15, 70, 2640, 8751, P2
+2026/07/13 04:30:43.798, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.15, 70, 2640, 8751, P2
+2026/07/13 04:30:43.898, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.15, 70, 2640, 8751, P2
+2026/07/13 04:30:44.014, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.15, 70, 2640, 8751, P2
+2026/07/13 04:30:44.114, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.15, 70, 2640, 8751, P2
+2026/07/13 04:30:44.226, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.88, 71, 2550, 8751, P2
+2026/07/13 04:30:44.330, NVIDIA GeForce RTX 4060 Ti, 100, 69, 13339, 16380, 148.88, 71, 2550, 8751, P2
+2026/07/13 04:30:44.444, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14811, 16380, 148.88, 71, 2550, 8751, P2
+2026/07/13 04:30:44.554, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14811, 16380, 148.88, 71, 2550, 8751, P2
+2026/07/13 04:30:44.665, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14811, 16380, 148.88, 71, 2550, 8751, P2
+2026/07/13 04:30:44.766, NVIDIA GeForce RTX 4060 Ti, 100, 83, 13339, 16380, 140.91, 66, 2730, 8751, P2
+2026/07/13 04:30:44.878, NVIDIA GeForce RTX 4060 Ti, 100, 83, 13339, 16380, 140.91, 66, 2730, 8751, P2
+2026/07/13 04:30:44.988, NVIDIA GeForce RTX 4060 Ti, 100, 83, 13339, 16380, 140.91, 66, 2730, 8751, P2
+2026/07/13 04:30:45.099, NVIDIA GeForce RTX 4060 Ti, 100, 83, 13339, 16380, 140.91, 66, 2730, 8751, P2
+2026/07/13 04:30:45.210, NVIDIA GeForce RTX 4060 Ti, 0, 0, 14043, 16380, 95.13, 57, 2745, 8751, P2
+2026/07/13 04:30:45.320, NVIDIA GeForce RTX 4060 Ti, 0, 0, 14043, 16380, 95.13, 57, 2745, 8751, P2
+2026/07/13 04:30:45.430, NVIDIA GeForce RTX 4060 Ti, 0, 0, 14043, 16380, 95.13, 57, 2745, 8751, P2
+2026/07/13 04:30:45.541, NVIDIA GeForce RTX 4060 Ti, 0, 0, 14043, 16380, 95.13, 57, 2745, 8751, P2
+2026/07/13 04:30:45.652, NVIDIA GeForce RTX 4060 Ti, 0, 0, 14043, 16380, 95.13, 57, 2745, 8751, P2
+2026/07/13 04:30:45.765, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 93.30, 70, 2505, 8751, P2
+2026/07/13 04:30:45.879, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 93.30, 70, 2505, 8751, P2
+2026/07/13 04:30:45.988, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 93.30, 70, 2505, 8751, P2
+2026/07/13 04:30:46.097, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 93.30, 70, 2505, 8751, P2
+2026/07/13 04:30:46.206, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 131.95, 69, 2715, 8751, P2
+2026/07/13 04:30:46.315, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 131.95, 69, 2715, 8751, P2
+2026/07/13 04:30:46.424, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 131.95, 69, 2715, 8751, P2
+2026/07/13 04:30:46.532, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 131.95, 69, 2715, 8751, P2
+2026/07/13 04:30:46.642, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 131.95, 69, 2715, 8751, P2
+2026/07/13 04:30:46.748, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.53, 69, 2655, 8751, P2
+2026/07/13 04:30:46.862, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.53, 69, 2655, 8751, P2
+2026/07/13 04:30:46.972, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.53, 69, 2655, 8751, P2
+2026/07/13 04:30:47.084, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.53, 69, 2655, 8751, P2
+2026/07/13 04:30:47.195, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.27, 69, 2715, 8751, P2
+2026/07/13 04:30:47.306, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.27, 69, 2715, 8751, P2
+2026/07/13 04:30:47.418, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.27, 69, 2715, 8751, P2
+2026/07/13 04:30:47.529, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.27, 69, 2715, 8751, P2
+2026/07/13 04:30:47.640, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.27, 69, 2715, 8751, P2
+2026/07/13 04:30:47.749, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.15, 69, 2655, 8751, P2
+2026/07/13 04:30:47.863, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.15, 69, 2655, 8751, P2
+2026/07/13 04:30:47.974, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.15, 69, 2655, 8751, P2
+2026/07/13 04:30:48.085, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.15, 69, 2655, 8751, P2
+2026/07/13 04:30:48.196, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.03, 69, 2595, 8751, P2
+2026/07/13 04:30:48.306, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.03, 69, 2595, 8751, P2
+2026/07/13 04:30:48.417, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.03, 69, 2595, 8751, P2
+2026/07/13 04:30:48.527, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.03, 69, 2595, 8751, P2
+2026/07/13 04:30:48.636, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.03, 69, 2595, 8751, P2
+2026/07/13 04:30:48.749, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.13, 69, 2655, 8751, P2
+2026/07/13 04:30:48.863, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.13, 69, 2655, 8751, P2
+2026/07/13 04:30:48.974, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.13, 69, 2655, 8751, P2
+2026/07/13 04:30:49.084, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.13, 69, 2655, 8751, P2
+2026/07/13 04:30:49.196, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.85, 69, 2595, 8751, P2
+2026/07/13 04:30:49.305, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.85, 69, 2595, 8751, P2
+2026/07/13 04:30:49.415, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.85, 69, 2595, 8751, P2
+2026/07/13 04:30:49.528, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.85, 69, 2595, 8751, P2
+2026/07/13 04:30:49.639, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.85, 69, 2595, 8751, P2
+2026/07/13 04:30:49.751, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.75, 68, 2700, 8751, P2
+2026/07/13 04:30:49.863, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.75, 68, 2700, 8751, P2
+2026/07/13 04:30:49.974, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.75, 68, 2700, 8751, P2
+2026/07/13 04:30:50.077, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.75, 68, 2700, 8751, P2
+2026/07/13 04:30:50.186, NVIDIA GeForce RTX 4060 Ti, 98, 71, 14043, 16380, 147.01, 69, 2505, 8751, P2
+2026/07/13 04:30:50.297, NVIDIA GeForce RTX 4060 Ti, 98, 71, 14043, 16380, 147.01, 69, 2505, 8751, P2
+2026/07/13 04:30:50.408, NVIDIA GeForce RTX 4060 Ti, 98, 71, 14043, 16380, 147.01, 69, 2505, 8751, P2
+2026/07/13 04:30:50.518, NVIDIA GeForce RTX 4060 Ti, 98, 71, 14043, 16380, 147.01, 69, 2505, 8751, P2
+2026/07/13 04:30:50.630, NVIDIA GeForce RTX 4060 Ti, 98, 71, 14043, 16380, 147.01, 69, 2505, 8751, P2
+2026/07/13 04:30:50.740, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 147.22, 68, 2715, 8751, P2
+2026/07/13 04:30:50.848, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 147.22, 68, 2715, 8751, P2
+2026/07/13 04:30:50.959, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 147.22, 68, 2715, 8751, P2
+2026/07/13 04:30:51.070, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 147.22, 68, 2715, 8751, P2
+2026/07/13 04:30:51.181, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 147.17, 68, 2670, 8751, P2
+2026/07/13 04:30:51.292, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 147.17, 68, 2670, 8751, P2
+2026/07/13 04:30:51.404, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 147.17, 68, 2670, 8751, P2
+2026/07/13 04:30:51.515, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 147.17, 68, 2670, 8751, P2
+2026/07/13 04:30:51.626, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 147.17, 68, 2670, 8751, P2
+2026/07/13 04:30:51.726, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 148.83, 70, 2595, 8751, P2
+2026/07/13 04:30:51.832, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 148.83, 70, 2595, 8751, P2
+2026/07/13 04:30:51.942, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 148.83, 70, 2595, 8751, P2
+2026/07/13 04:30:52.053, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 148.83, 70, 2595, 8751, P2
+2026/07/13 04:30:52.164, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 148.83, 70, 2595, 8751, P2
+2026/07/13 04:30:52.276, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.13, 68, 2670, 8751, P2
+2026/07/13 04:30:52.387, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.13, 68, 2670, 8751, P2
+2026/07/13 04:30:52.498, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.13, 68, 2670, 8751, P2
+2026/07/13 04:30:52.608, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.13, 68, 2670, 8751, P2
+2026/07/13 04:30:52.718, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.27, 71, 2625, 8751, P2
+2026/07/13 04:30:52.830, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.27, 71, 2625, 8751, P2
+2026/07/13 04:30:52.941, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.27, 71, 2625, 8751, P2
+2026/07/13 04:30:53.051, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.27, 71, 2625, 8751, P2
+2026/07/13 04:30:53.161, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.27, 71, 2625, 8751, P2
+2026/07/13 04:30:53.271, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.73, 68, 2730, 8751, P2
+2026/07/13 04:30:53.382, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.73, 68, 2730, 8751, P2
+2026/07/13 04:30:53.493, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.73, 68, 2730, 8751, P2
+2026/07/13 04:30:53.604, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.73, 68, 2730, 8751, P2
+2026/07/13 04:30:53.715, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.26, 71, 2610, 8751, P2
+2026/07/13 04:30:53.831, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.26, 71, 2610, 8751, P2
+2026/07/13 04:30:53.942, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.26, 71, 2610, 8751, P2
+2026/07/13 04:30:54.053, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.26, 71, 2610, 8751, P2
+2026/07/13 04:30:54.163, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.26, 71, 2610, 8751, P2
+2026/07/13 04:30:54.273, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.63, 69, 2700, 8751, P2
+2026/07/13 04:30:54.381, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.63, 69, 2700, 8751, P2
+2026/07/13 04:30:54.492, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.63, 69, 2700, 8751, P2
+2026/07/13 04:30:54.601, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.63, 69, 2700, 8751, P2
+2026/07/13 04:30:54.711, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.08, 69, 2700, 8751, P2
+2026/07/13 04:30:54.813, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.08, 69, 2700, 8751, P2
+2026/07/13 04:30:54.928, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.08, 69, 2700, 8751, P2
+2026/07/13 04:30:55.038, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.08, 69, 2700, 8751, P2
+2026/07/13 04:30:55.140, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.08, 69, 2700, 8751, P2
+2026/07/13 04:30:55.246, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.07, 69, 2700, 8751, P2
+2026/07/13 04:30:55.357, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.07, 69, 2700, 8751, P2
+2026/07/13 04:30:55.462, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.07, 69, 2700, 8751, P2
+2026/07/13 04:30:55.571, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.07, 69, 2700, 8751, P2
+2026/07/13 04:30:55.681, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 147.76, 69, 2700, 8751, P2
+2026/07/13 04:30:55.782, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 147.76, 69, 2700, 8751, P2
+2026/07/13 04:30:55.884, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 147.76, 69, 2700, 8751, P2
+2026/07/13 04:30:55.988, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 147.76, 69, 2700, 8751, P2
+2026/07/13 04:30:56.092, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 147.76, 69, 2700, 8751, P2
+2026/07/13 04:30:56.193, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.10, 70, 2670, 8751, P2
+2026/07/13 04:30:56.300, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.10, 70, 2670, 8751, P2
+2026/07/13 04:30:56.411, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.10, 70, 2670, 8751, P2
+2026/07/13 04:30:56.523, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.10, 70, 2670, 8751, P2
+2026/07/13 04:30:56.628, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 149.10, 70, 2670, 8751, P2
+2026/07/13 04:30:56.740, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.77, 69, 2730, 8751, P2
+2026/07/13 04:30:56.849, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.77, 69, 2730, 8751, P2
+2026/07/13 04:30:56.964, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.77, 69, 2730, 8751, P2
+2026/07/13 04:30:57.078, NVIDIA GeForce RTX 4060 Ti, 100, 61, 14043, 16380, 148.77, 69, 2730, 8751, P2
+2026/07/13 04:30:57.189, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 148.97, 70, 2655, 8751, P2
+2026/07/13 04:30:57.300, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 148.97, 70, 2655, 8751, P2
+2026/07/13 04:30:57.411, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 148.97, 70, 2655, 8751, P2
+2026/07/13 04:30:57.523, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 148.97, 70, 2655, 8751, P2
+2026/07/13 04:30:57.633, NVIDIA GeForce RTX 4060 Ti, 100, 70, 14043, 16380, 148.97, 70, 2655, 8751, P2
+2026/07/13 04:30:57.744, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.34, 68, 2715, 8751, P2
+2026/07/13 04:30:57.848, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.34, 68, 2715, 8751, P2
+2026/07/13 04:30:57.959, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.34, 68, 2715, 8751, P2
+2026/07/13 04:30:58.068, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.34, 68, 2715, 8751, P2
+2026/07/13 04:30:58.178, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.34, 68, 2715, 8751, P2
+2026/07/13 04:30:58.293, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14235, 16380, 148.89, 69, 2715, 8751, P2
+2026/07/13 04:30:58.401, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14235, 16380, 148.89, 69, 2715, 8751, P2
+2026/07/13 04:30:58.511, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14587, 16380, 148.89, 69, 2715, 8751, P2
+2026/07/13 04:30:58.621, NVIDIA GeForce RTX 4060 Ti, 100, 69, 13275, 16380, 148.89, 69, 2715, 8751, P2
+2026/07/13 04:30:58.729, NVIDIA GeForce RTX 4060 Ti, 98, 93, 13275, 16380, 137.60, 61, 2730, 8751, P2
+2026/07/13 04:30:58.831, NVIDIA GeForce RTX 4060 Ti, 98, 93, 13275, 16380, 137.60, 61, 2730, 8751, P2
+2026/07/13 04:30:58.931, NVIDIA GeForce RTX 4060 Ti, 98, 93, 13275, 16380, 137.60, 61, 2730, 8751, P2
+2026/07/13 04:30:59.046, NVIDIA GeForce RTX 4060 Ti, 98, 93, 13275, 16380, 137.60, 61, 2730, 8751, P2
+2026/07/13 04:30:59.157, NVIDIA GeForce RTX 4060 Ti, 98, 93, 13947, 16380, 137.60, 61, 2730, 8751, P2
+2026/07/13 04:30:59.261, NVIDIA GeForce RTX 4060 Ti, 0, 0, 13947, 16380, 85.69, 61, 2745, 8751, P2
+2026/07/13 04:30:59.362, NVIDIA GeForce RTX 4060 Ti, 0, 0, 13947, 16380, 85.69, 61, 2745, 8751, P2
+2026/07/13 04:30:59.463, NVIDIA GeForce RTX 4060 Ti, 0, 0, 13947, 16380, 85.69, 61, 2745, 8751, P2
+2026/07/13 04:30:59.575, NVIDIA GeForce RTX 4060 Ti, 0, 0, 13947, 16380, 85.69, 61, 2745, 8751, P2
+2026/07/13 04:30:59.678, NVIDIA GeForce RTX 4060 Ti, 0, 0, 13947, 16380, 85.69, 61, 2745, 8751, P2
+2026/07/13 04:30:59.782, NVIDIA GeForce RTX 4060 Ti, 100, 60, 13947, 16380, 92.02, 68, 2640, 8751, P2
+2026/07/13 04:30:59.894, NVIDIA GeForce RTX 4060 Ti, 100, 60, 13979, 16380, 92.02, 68, 2640, 8751, P2
+2026/07/13 04:31:00.004, NVIDIA GeForce RTX 4060 Ti, 100, 60, 13979, 16380, 92.02, 68, 2640, 8751, P2
+2026/07/13 04:31:00.114, NVIDIA GeForce RTX 4060 Ti, 100, 60, 13979, 16380, 92.02, 68, 2640, 8751, P2
+2026/07/13 04:31:00.224, NVIDIA GeForce RTX 4060 Ti, 100, 68, 13979, 16380, 136.57, 69, 2700, 8751, P2
+2026/07/13 04:31:00.336, NVIDIA GeForce RTX 4060 Ti, 100, 68, 13979, 16380, 136.57, 69, 2700, 8751, P2
+2026/07/13 04:31:00.446, NVIDIA GeForce RTX 4060 Ti, 100, 68, 13979, 16380, 136.57, 69, 2700, 8751, P2
+2026/07/13 04:31:00.558, NVIDIA GeForce RTX 4060 Ti, 100, 68, 13979, 16380, 136.57, 69, 2700, 8751, P2
+2026/07/13 04:31:00.669, NVIDIA GeForce RTX 4060 Ti, 100, 68, 13979, 16380, 136.57, 69, 2700, 8751, P2
+2026/07/13 04:31:00.781, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.74, 69, 2655, 8751, P2
+2026/07/13 04:31:00.893, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.74, 69, 2655, 8751, P2
+2026/07/13 04:31:01.003, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.74, 69, 2655, 8751, P2
+2026/07/13 04:31:01.114, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.74, 69, 2655, 8751, P2
+2026/07/13 04:31:01.225, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.24, 69, 2700, 8751, P2
+2026/07/13 04:31:01.336, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.24, 69, 2700, 8751, P2
+2026/07/13 04:31:01.447, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.24, 69, 2700, 8751, P2
+2026/07/13 04:31:01.558, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.24, 69, 2700, 8751, P2
+2026/07/13 04:31:01.670, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.24, 69, 2700, 8751, P2
+2026/07/13 04:31:01.782, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.07, 70, 2655, 8751, P2
+2026/07/13 04:31:01.895, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.07, 70, 2655, 8751, P2
+2026/07/13 04:31:02.006, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.07, 70, 2655, 8751, P2
+2026/07/13 04:31:02.115, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.07, 70, 2655, 8751, P2
+2026/07/13 04:31:02.224, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.14, 68, 2595, 8751, P2
+2026/07/13 04:31:02.333, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.14, 68, 2595, 8751, P2
+2026/07/13 04:31:02.443, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.14, 68, 2595, 8751, P2
+2026/07/13 04:31:02.552, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.14, 68, 2595, 8751, P2
+2026/07/13 04:31:02.664, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.14, 68, 2595, 8751, P2
+2026/07/13 04:31:02.766, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.24, 70, 2640, 8751, P2
+2026/07/13 04:31:02.880, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.24, 70, 2640, 8751, P2
+2026/07/13 04:31:02.991, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.24, 70, 2640, 8751, P2
+2026/07/13 04:31:03.103, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.24, 70, 2640, 8751, P2
+2026/07/13 04:31:03.213, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.61, 68, 2565, 8751, P2
+2026/07/13 04:31:03.324, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.61, 68, 2565, 8751, P2
+2026/07/13 04:31:03.433, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.61, 68, 2565, 8751, P2
+2026/07/13 04:31:03.548, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.61, 68, 2565, 8751, P2
+2026/07/13 04:31:03.659, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.61, 68, 2565, 8751, P2
+2026/07/13 04:31:03.764, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.96, 69, 2700, 8751, P2
+2026/07/13 04:31:03.879, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.96, 69, 2700, 8751, P2
+2026/07/13 04:31:03.991, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.96, 69, 2700, 8751, P2
+2026/07/13 04:31:04.093, NVIDIA GeForce RTX 4060 Ti, 100, 68, 14043, 16380, 148.96, 69, 2700, 8751, P2
+2026/07/13 04:31:04.203, NVIDIA GeForce RTX 4060 Ti, 98, 62, 14043, 16380, 148.21, 69, 2505, 8751, P2
+2026/07/13 04:31:04.304, NVIDIA GeForce RTX 4060 Ti, 98, 62, 14043, 16380, 148.21, 69, 2505, 8751, P2
+2026/07/13 04:31:04.419, NVIDIA GeForce RTX 4060 Ti, 98, 62, 14043, 16380, 148.21, 69, 2505, 8751, P2
+2026/07/13 04:31:04.530, NVIDIA GeForce RTX 4060 Ti, 98, 62, 14043, 16380, 148.21, 69, 2505, 8751, P2
+2026/07/13 04:31:04.641, NVIDIA GeForce RTX 4060 Ti, 98, 62, 14043, 16380, 148.21, 69, 2505, 8751, P2
+2026/07/13 04:31:04.749, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 147.84, 69, 2700, 8751, P2
+2026/07/13 04:31:04.863, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 147.84, 69, 2700, 8751, P2
+2026/07/13 04:31:04.975, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 147.84, 69, 2700, 8751, P2
+2026/07/13 04:31:05.085, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 147.84, 69, 2700, 8751, P2
+2026/07/13 04:31:05.195, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.88, 70, 2655, 8751, P2
+2026/07/13 04:31:05.306, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.88, 70, 2655, 8751, P2
+2026/07/13 04:31:05.416, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.88, 70, 2655, 8751, P2
+2026/07/13 04:31:05.527, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.88, 70, 2655, 8751, P2
+2026/07/13 04:31:05.637, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.88, 70, 2655, 8751, P2
+2026/07/13 04:31:05.747, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.24, 68, 2595, 8751, P2
+2026/07/13 04:31:05.860, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.24, 68, 2595, 8751, P2
+2026/07/13 04:31:05.970, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.24, 68, 2595, 8751, P2
+2026/07/13 04:31:06.081, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.24, 68, 2595, 8751, P2
+2026/07/13 04:31:06.192, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.11, 70, 2640, 8751, P2
+2026/07/13 04:31:06.303, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.11, 70, 2640, 8751, P2
+2026/07/13 04:31:06.414, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.11, 70, 2640, 8751, P2
+2026/07/13 04:31:06.523, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.11, 70, 2640, 8751, P2
+2026/07/13 04:31:06.632, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.11, 70, 2640, 8751, P2
+2026/07/13 04:31:06.742, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.60, 68, 2535, 8751, P2
+2026/07/13 04:31:06.848, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.60, 68, 2535, 8751, P2
+2026/07/13 04:31:06.958, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.60, 68, 2535, 8751, P2
+2026/07/13 04:31:07.068, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.60, 68, 2535, 8751, P2
+2026/07/13 04:31:07.178, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.60, 68, 2535, 8751, P2
+2026/07/13 04:31:07.288, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.87, 69, 2700, 8751, P2
+2026/07/13 04:31:07.398, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.87, 69, 2700, 8751, P2
+2026/07/13 04:31:07.508, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.87, 69, 2700, 8751, P2
+2026/07/13 04:31:07.619, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.87, 69, 2700, 8751, P2
+2026/07/13 04:31:07.730, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.69, 69, 2520, 8751, P2
+2026/07/13 04:31:07.831, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.69, 69, 2520, 8751, P2
+2026/07/13 04:31:07.942, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.69, 69, 2520, 8751, P2
+2026/07/13 04:31:08.054, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.69, 69, 2520, 8751, P2
+2026/07/13 04:31:08.165, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 148.69, 69, 2520, 8751, P2
+2026/07/13 04:31:08.276, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.72, 70, 2700, 8751, P2
+2026/07/13 04:31:08.388, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.72, 70, 2700, 8751, P2
+2026/07/13 04:31:08.499, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.72, 70, 2700, 8751, P2
+2026/07/13 04:31:08.610, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.72, 70, 2700, 8751, P2
+2026/07/13 04:31:08.721, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.33, 71, 2655, 8751, P2
+2026/07/13 04:31:08.832, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.33, 71, 2655, 8751, P2
+2026/07/13 04:31:08.943, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.33, 71, 2655, 8751, P2
+2026/07/13 04:31:09.053, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.33, 71, 2655, 8751, P2
+2026/07/13 04:31:09.164, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 149.33, 71, 2655, 8751, P2
+2026/07/13 04:31:09.275, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.42, 70, 2700, 8751, P2
+2026/07/13 04:31:09.386, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.42, 70, 2700, 8751, P2
+2026/07/13 04:31:09.497, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.42, 70, 2700, 8751, P2
+2026/07/13 04:31:09.609, NVIDIA GeForce RTX 4060 Ti, 100, 67, 14043, 16380, 148.42, 70, 2700, 8751, P2
+2026/07/13 04:31:09.720, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.93, 71, 2640, 8751, P2
+2026/07/13 04:31:09.832, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.93, 71, 2640, 8751, P2
+2026/07/13 04:31:09.943, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.93, 71, 2640, 8751, P2
+2026/07/13 04:31:10.055, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.93, 71, 2640, 8751, P2
+2026/07/13 04:31:10.166, NVIDIA GeForce RTX 4060 Ti, 100, 69, 14043, 16380, 148.93, 71, 2640, 8751, P2
+2026/07/13 04:31:10.277, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.21, 69, 2535, 8751, P2
+2026/07/13 04:31:10.388, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.21, 69, 2535, 8751, P2
+2026/07/13 04:31:10.498, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.21, 69, 2535, 8751, P2
+2026/07/13 04:31:10.609, NVIDIA GeForce RTX 4060 Ti, 100, 60, 14043, 16380, 149.21, 69, 2535, 8751, P2
+2026/07/13 04:31:10.717, NVIDIA GeForce RTX 4060 Ti, 98, 70, 14043, 16380, 148.71, 71, 2640, 8751, P2
+2026/07/13 04:31:10.831, NVIDIA GeForce RTX 4060 Ti, 98, 70, 14043, 16380, 148.71, 71, 2640, 8751, P2
+2026/07/13 04:31:10.942, NVIDIA GeForce RTX 4060 Ti, 98, 70, 14043, 16380, 148.71, 71, 2640, 8751, P2
+2026/07/13 04:31:11.053, NVIDIA GeForce RTX 4060 Ti, 98, 70, 14043, 16380, 148.71, 71, 2640, 8751, P2
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telemetry/system_bridge_bf16.csv

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validation/completion_audit.json

@@ -20,19 +20,22 @@
   "format_counts": {
     "bf16": 30,
     "fp8_scaled": 30,
+    "gguf_q4_k_m": 30,
+    "gguf_q8_0": 30,
+    "int4_convrot": 30,
     "int8_convrot": 30,
     "mxfp8": 30,
     "nvfp4": 30
   },
   "metric_tables_checked": {
-    "image_advanced.csv": 150,
-    "image_core.csv": 150,
-    "latency_components.csv": 150,
-    "performance_runs.csv": 150,
-    "trajectory.csv": 1920,
-    "weight_parameters_all.csv": 1720
+    "image_advanced.csv": 240,
+    "image_core.csv": 240,
+    "latency_components.csv": 240,
+    "performance_runs.csv": 240,
+    "trajectory.csv": 3360,
+    "weight_parameters_all.csv": 3010
   },
   "noise_groups": 30,
   "passed": true,
-  "scored_runs": 150
+  "scored_runs": 240
 }

validation/repeatability.json

@@ -14,6 +14,27 @@
         "cc1e9dfae37e5a128f1d1e548a7db477ee191748c0679d876c528a162325e67c"
       ]
     },
+    "gguf_q4_k_m": {
+      "bit_exact": true,
+      "runs": 3,
+      "unique_image_hashes": [
+        "3a1f2fb4de171cc1ddc48da771a36d29b3d2576d9539574306a67787fbc91d21"
+      ]
+    },
+    "gguf_q8_0": {
+      "bit_exact": true,
+      "runs": 3,
+      "unique_image_hashes": [
+        "11aae835e6988eb8d4111bd5f56cb939c3aae2c88ba782d99f6ecbe5dcebcb52"
+      ]
+    },
+    "int4_convrot": {
+      "bit_exact": true,
+      "runs": 3,
+      "unique_image_hashes": [
+        "c332c0c2f98caafbed82cfcf3dad36e6a76a774b67cd5d1d43306b344e10cf9e"
+      ]
+    },
     "int8_convrot": {
       "bit_exact": true,
       "runs": 3,