Publish no-MTP sibling of certified MTP pack (language path identical; mtp.safetensors omitted).

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,178 @@
+---
+license: apache-2.0
+library_name: mlx
+base_model: Qwen/Qwen3.6-35B-A3B
+base_model_relation: quantized
+pipeline_tag: text-generation
+tags:
+- mlx
+- apple-silicon
+- quantized
+- mixed-precision
+- axquant
+- axq
+- development
+- qwen3.6
+- 6bit
+- 6-bit
+- vision
+---
+
+# AX-Qwen3.6-35B-A3B-MLX-AXQ-6bit
+
+An **AXQuant (AXQ)** mixed-precision MLX checkpoint for Apple Silicon, converted directly from
+the BF16 source model. The language path is quantized while the vision tower are preserved at BF16 in the checkpoint (or a bound sidecar when present).
+
+> **Development evidence — not a certified AXQuant release.** This package has conversion and
+> artifact-integrity records, but it does not publish measured quality, long-context, kernel-speed,
+> or MTP-speed evidence. Do not interpret the AXQ product label as a benchmark claim.
+
+
+## Model details
+
+| Property | Value |
+| --- | --- |
+| Base model | [Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B/tree/995ad96eacd98c81ed38be0c5b274b04031597b0) |
+| Source revision | `995ad96eacd98c81ed38be0c5b274b04031597b0` |
+| Product family | `qwen3.6` |
+| Source architecture | `Qwen3_5MoeForConditionalGeneration` (mixture of experts (MoE)); text path optimized |
+| Main-model parameters | 35.11B logical parameters |
+| Quantizer | AXQuant `1.2.0` |
+| Hub budget class | `6bit` |
+| AXQuant base precision class | `6bit` |
+| Planned storage-adjusted BPW | 5.6242 |
+| Measured main-model BPW | 5.7595 |
+| Measured total BPW | **5.6242** |
+| Safetensors weight size | 25.27 GB |
+| Approximate complete download | 25.30 GB |
+| Configured maximum context | 262,144 tokens; practical limits depend on unified memory |
+| Primary MLX runtime | MLX-LM |
+| AX Engine native execution | Not established; no validated native manifest is included |
+| MTP present | `False` |
+| Vision present | `True` |
+| Audio present | `False` |
+
+This repository contains MLX Safetensors. It does **not** contain PyTorch or GGUF weights.
+
+## Choosing an AXQ pack
+
+AXQ names describe a **storage-budget product class**, not one uniform precision applied to every
+tensor. Protected tensors remain at higher precision, so the exact measured BPW is authoritative.
+In particular, a `6bit`-named mixed plan may retain `4bit` as its base precision while selecting
+6-bit, 8-bit, or BF16 for other tensors to meet an approximately 6-BPW total budget. Protection
+floors can also raise a `4bit`-named pack close to (or above) a `6bit` budget on small or heavily
+protected models. When that collapse happens, AutomatosX does **not** publish a separate
+misleading `4bit` sibling for that base.
+
+
+| Sibling | Intended trade-off |
+| --- | --- |
+| [4bit sibling](https://huggingface.co/AutomatosX/AX-Qwen3.6-35B-A3B-MLX-AXQ-4bit) | Lower-storage AXQ budget; check its exact BPW |
+| [6bit sibling](https://huggingface.co/AutomatosX/AX-Qwen3.6-35B-A3B-MLX-AXQ-6bit) | Higher average precision near the 6-BPW budget |
+
+See the [AutomatosX collections](https://huggingface.co/AutomatosX/collections)
+for the family catalog, or the [complete index](https://huggingface.co/collections/AutomatosX/automatosx-mlx-model-catalog).
+
+## Download
+
+```bash
+python -m pip install -U huggingface_hub
+hf download AutomatosX/AX-Qwen3.6-35B-A3B-MLX-AXQ-6bit --local-dir ./AX-Qwen3.6-35B-A3B-MLX-AXQ-6bit
+```
+
+Allow at least 25.30 GB of free disk space. Pin the resulting Hub commit in reproducible
+deployments rather than relying indefinitely on `main`.
+
+## Run with MLX-LM
+
+```bash
+python -m pip install -U mlx-lm
+mlx_lm.generate \
+  --model AutomatosX/AX-Qwen3.6-35B-A3B-MLX-AXQ-6bit \
+  --prompt "Explain mixed-precision quantization in three sentences." \
+  --max-tokens 128 \
+  --temp 0.0
+```
+
+MLX-LM compatibility covers standard **text/backbone inference**. It may ignore AXQuant runtime
+metadata and optional sidecars (`vision.safetensors`, `mtp.safetensors`); this command therefore
+does not establish MTP acceleration or vision-language quality. The artifact records MLX
+`0.32.0` and MLX-LM `0.31.3` from conversion.
+
+## AX Engine status
+
+This package does **not** include a validated native `model-manifest.json`, so AX Engine execution
+is not established by this release. The AX Engine fields in `axquant_runtime.json` describe the
+intended compatibility contract, not observed runtime evidence. Use the architecture-specific MLX
+runtime path above. The artifact records AX Engine version
+`not recorded`, but version discovery alone is not a runtime check.
+
+## Quantization layout
+
+| Main-weight precision | Parameters | Share |
+| --- | ---: | ---: |
+| `4bit` | 24.70B | 68.69% |
+| `6bit` | 8.75B | 24.35% |
+| `8bit` | 701.90M | 1.95% |
+| `bf16` | 1.80B | 5.01% |
+
+- Quantization methods: `affine, bf16`.
+- Group sizes used by quantized assignments: `32, 64`.
+- MTP sidecar: not included.
+- Vision sidecar: 333 tensors, 446.57M parameters, 0.89 GB, BF16.
+- Vision weights: protected BF16 sidecar.
+- Optimization scope: `text-path`.
+- Support tier: `convertible`.
+
+BF16 sidecars, when present, are included in total download size. Their presence does not by itself
+establish MTP acceleration or vision-language quality.
+
+## Evidence and validation status
+
+| Check | Status |
+| --- | --- |
+| Planning evidence | `architecture_prior` |
+| Calibration | none; the allocation is based on architecture priors |
+| Quantizer execution | 469/469 recorded module conversions succeeded; 0 fallbacks |
+| AX Engine native manifest | not included |
+| Quality versus BF16 or uniform baselines | Not published; no quality-retention claim |
+| MTP acceptance and speed | not measured; no MTP speedup claim |
+| AX Engine kernel evidence | `unmeasured` |
+| Vision-language quality | Not evaluated or claimed; vision tensors are preserved at BF16 |
+| Speech-recognition quality | Not applicable |
+| Long-context quality | 262,144-token capacity is config metadata, not a validated claim |
+| Release certification | **Not certified**; formal AXQuant M0-M8 gates are not closed |
+
+## Intended use and limitations
+
+- Intended for local development and evaluation on Apple Silicon with MLX-compatible runtimes.
+- No minimum unified-memory figure is claimed; loadability depends on model size, context length,
+  KV-cache policy, runtime buffers, and other processes using unified memory.
+- Architecture-prior allocation is not measured sensitivity. It must not be presented as measured
+  model quality.
+- Vision weights are preserved at BF16, but this release does not claim validated VLM quality.
+- The configured context window can require substantially more memory as the KV cache grows.
+- AX Engine execution is not established because this package has no validated native manifest.
+
+- Upstream capabilities, limitations, biases, and responsible-use guidance still apply.
+
+## Provenance and audit files
+
+- [`axquant_manifest.json`](axquant_manifest.json): package identity, byte accounting, runtime
+  contract, software versions, and file checksums.
+- [`axquant_plan.json`](axquant_plan.json): per-tensor precision decisions and planning evidence.
+- [`axquant_quantizer_execution.json`](axquant_quantizer_execution.json): conversion coverage and
+  fallback records.
+- [`axquant_runtime.json`](axquant_runtime.json): declared AX Engine and MLX compatibility metadata; runtime checks remain separate evidence.
+- [`axquant_vision_sidecar_manifest.json`](axquant_vision_sidecar_manifest.json): protected vision tensor provenance.
+
+All published provenance uses repository-relative paths. Local source paths are stripped before
+publication. The checkpoint was converted from BF16 rather than re-quantized from an OptiQ
+artifact. If an OptiQ repository is published separately, it uses a different quantizer and
+should not be assumed to have identical BPW or quality.
+
+## License
+
+The checkpoint follows the upstream model license where applicable (often Apache License 2.0). See
+the [Qwen/Qwen3.6-35B-A3B model card](https://huggingface.co/Qwen/Qwen3.6-35B-A3B/tree/995ad96eacd98c81ed38be0c5b274b04031597b0) for license terms, model
+limitations, and responsible-use guidance.

axquant_manifest.json

@@ -0,0 +1,220 @@
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+  "calibration": null,
+  "created_at": "2026-08-05T13:39:34.268276Z",
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+      "size_bytes": 8054
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+      16
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+    "mode": "disabled",
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+    "preserve_external_sidecar": true,
+    "protect_norms": true,
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+      "kernel_evidence": "unmeasured",
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+        "compatibility_level": "B",
+        "manifest": "config.json",
+        "mtp_support": "runtime-dependent",
+        "name": "mlx-lm",
+        "notes": [
+          "Standard backbone inference is the compatibility target.",
+          "AXQuant MTP metadata may be ignored by MLX-LM."
+        ],
+        "standard_inference": true,
+        "standard_mlx_weights": true,
+        "support_level": "standard-inference"
+      }
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+    "created_at": "2026-08-05T13:39:05.854633Z",
+    "kv_cache": null,
+    "memory_policy": {
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+      "mtp_buffers": "preallocate-when-enabled",
+      "prefix_cache": "runtime-managed",
+      "unified_memory_safety_margin": "benchmark-required"
+    },
+    "mtp": {
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+      "detected": true,
+      "draft_tokens": 1,
+      "enabled_by_default": true,
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+      "optimized": false,
+      "recommended_temperature_max": null,
+      "sidecar_file": "mtp.safetensors",
+      "verification_mode": "runtime-default"
+    },
+    "optimization_scope": "text-path",
+    "primary_runtime": {
+      "compatibility_level": "A",
+      "manifest": "model-manifest.json",
+      "mtp_support": "native",
+      "name": "ax-engine",
+      "notes": [
+        "Runtime claims require a passing AX Engine doctor and benchmark report."
+      ],
+      "standard_inference": true,
+      "standard_mlx_weights": true,
+      "support_level": "optimized"
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+    "schema_version": "axquant.runtime.v1"
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+  "schema_version": "axquant.artifact.v2",
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+    "mlx_lm": "0.31.3",
+    "pydantic": "2.13.4",
+    "python": "3.13.14",
+    "safetensors": "0.8.0"
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+  "source_model": {
+    "architecture": "Qwen3_5MoeForConditionalGeneration",
+    "format": "mlx",
+    "local_path": null,
+    "model_id": "Qwen/Qwen3.6-35B-A3B",
+    "revision": "995ad96eacd98c81ed38be0c5b274b04031597b0"
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+}

axquant_runtime.json

@@ -0,0 +1,58 @@
+{
+  "ax_engine": {
+    "decode_kernel": null,
+    "fused_mtp": null,
+    "kernel_evidence": "unmeasured",
+    "model_manifest": "model-manifest.json",
+    "preferred_group_size": 32
+  },
+  "compatible_runtimes": [
+    {
+      "compatibility_level": "B",
+      "manifest": "config.json",
+      "mtp_support": "runtime-dependent",
+      "name": "mlx-lm",
+      "notes": [
+        "Standard backbone inference is the compatibility target.",
+        "AXQuant MTP metadata may be ignored by MLX-LM."
+      ],
+      "standard_inference": true,
+      "standard_mlx_weights": true,
+      "support_level": "standard-inference"
+    }
+  ],
+  "created_at": "2026-08-05T13:39:05.854633Z",
+  "kv_cache": null,
+  "memory_policy": {
+    "kv_cache_precision": "runtime-default",
+    "mtp_buffers": "preallocate-when-enabled",
+    "prefix_cache": "runtime-managed",
+    "unified_memory_safety_margin": "benchmark-required"
+  },
+  "mtp": {
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+    "detected": true,
+    "draft_tokens": 1,
+    "enabled_by_default": true,
+    "head_precision": null,
+    "measured_speedup": null,
+    "optimized": false,
+    "recommended_temperature_max": null,
+    "sidecar_file": "mtp.safetensors",
+    "verification_mode": "runtime-default"
+  },
+  "optimization_scope": "text-path",
+  "primary_runtime": {
+    "compatibility_level": "A",
+    "manifest": "model-manifest.json",
+    "mtp_support": "native",
+    "name": "ax-engine",
+    "notes": [
+      "Runtime claims require a passing AX Engine doctor and benchmark report."
+    ],
+    "standard_inference": true,
+    "standard_mlx_weights": true,
+    "support_level": "optimized"
+  },
+  "schema_version": "axquant.runtime.v1"
+}

axquant_vision_sidecar_manifest.json

@@ -0,0 +1,35 @@
+{
+  "created_at": "2026-08-05T13:39:01.669426Z",
+  "dtypes": [
+    "BF16"
+  ],
+  "output": {
+    "path": "vision.safetensors",
+    "sha256": "6623410d69074faf0ea027f1c1c3cabd731bd70d5bcb3b878a595eaba4c17767",
+    "size_bytes": 893179624
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+  "parameters": 446571248,
+  "role": "vision",
+  "schema_version": "axquant.protected-tensor-sidecar.v1",
+  "source_files": [
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+      "sha256": "adee7bcb930aed22e0677e58d4873b48dadb1ed8001cb5c6a0487286eadb3478",
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+      "size_bytes": 1284907696
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+  ],
+  "source_model": {
+    "architecture": "Qwen3_5MoeForConditionalGeneration",
+    "format": "mlx",
+    "local_path": null,
+    "model_id": "Qwen/Qwen3.6-35B-A3B",
+    "revision": "995ad96eacd98c81ed38be0c5b274b04031597b0"
+  },
+  "tensor_count": 333,
+  "tensor_names_sha256": "74db978fa718039692971f2ece846f2cc7a62a960047b5cebe2d758cc82ac2e9"
+}

chat_template.jinja

@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for item in content %}
+            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain images.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+            {%- elif 'video' in item or item.type == 'video' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain videos.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Video ' ~ video_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+            {%- elif 'text' in item %}
+                {{- item.text }}
+            {%- else %}
+                {{- raise_exception('Unexpected item type in content.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- else %}
+        {{- raise_exception('Unexpected content type.') }}
+    {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+    {{- '<|im_start|>system\n' }}
+    {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if content %}
+            {{- '\n\n' + content }}
+        {%- endif %}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" %}
+        {%- set content = render_content(message.content, false)|trim %}
+        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
+            {%- set ns.multi_step_tool = false %}
+            {%- set ns.last_query_index = index %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+    {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content, true)|trim %}
+    {%- if message.role == "system" %}
+        {%- if not loop.first %}
+            {{- raise_exception('System message must be at the beginning.') }}
+        {%- endif %}
+    {%- elif message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- set reasoning_content = reasoning_content|trim %}
+        {%- if (preserve_thinking is defined and preserve_thinking is true) or (loop.index0 > ns.last_query_index) %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {%- if loop.first %}
+                    {%- if content|trim %}
+                        {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- else %}
+                        {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- endif %}
+                {%- else %}
+                    {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- endif %}
+                {%- if tool_call.arguments is defined %}
+                    {%- for args_name, args_value in tool_call.arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- raise_exception('Unexpected message role.') }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- else %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}

generation_config.json

@@ -0,0 +1,12 @@
+{
+    "bos_token_id": 248044,
+    "do_sample": true,
+    "eos_token_id": [
+        248046,
+        248044
+    ],
+    "pad_token_id": 248044,
+    "temperature": 1.0,
+    "top_k": 20,
+    "top_p": 0.95
+}

model-00001-of-00005.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:860f667408f32e2353c15e7f88efcb8882b5e93e73afc222cb29b9cdf3a89c44
+size 5367600594

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+oid sha256:2dba4e082f746e20d94ee9623e5ba879379a1c2a9079bcf79a457df5b8856e29
+size 5358260540

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+oid sha256:f6c517b13633c3c3455f8c1f05b7a804fa0e6bcecb091f61a2c7cb825436e8ba
+size 5349479920

model-00004-of-00005.safetensors

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+oid sha256:d2fbee3ba144584f68333788d2d31f0339a51d4aa6f0d5cbfdfd8c5260b0333c
+size 5252632964

model-00005-of-00005.safetensors

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+oid sha256:860cfe8a94c0b2d8ca4ab509545096e5af73b480724147e1ffc92e2ce02b0df0
+size 3053704637

mtplx_runtime.json

@@ -0,0 +1,5 @@
+{
+  "mtp_depth_max": 1,
+  "mtp_norm_layout": "raw_hf_delta",
+  "schema_version": "axquant.mtp-runtime.v1"
+}

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
+size 19989325

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "audio_bos_token": "<|audio_start|>",
+  "audio_eos_token": "<|audio_end|>",
+  "audio_token": "<|audio_pad|>",
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "image_token": "<|image_pad|>",
+  "is_local": true,
+  "local_files_only": false,
+  "model_max_length": 262144,
+  "model_specific_special_tokens": {
+    "audio_bos_token": "<|audio_start|>",
+    "audio_eos_token": "<|audio_end|>",
+    "audio_token": "<|audio_pad|>",
+    "image_token": "<|image_pad|>",
+    "video_token": "<|video_pad|>",
+    "vision_bos_token": "<|vision_start|>",
+    "vision_eos_token": "<|vision_end|>"
+  },
+  "pad_token": "<|endoftext|>",
+  "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "tool_parser_type": "qwen3_coder",
+  "unk_token": null,
+  "video_token": "<|video_pad|>",
+  "vision_bos_token": "<|vision_start|>",
+  "vision_eos_token": "<|vision_end|>"
+}

vision.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6623410d69074faf0ea027f1c1c3cabd731bd70d5bcb3b878a595eaba4c17767
+size 893179624