docs(model): document transparent upstream mirror

LICENSE

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README.md

@@ -1,25 +1,95 @@
 ---
 license: apache-2.0
-license_link: https://ai.google.dev/gemma/docs/gemma_4_license
+license_link: https://ai.google.dev/gemma/apache_2
+base_model: google/diffusiongemma-26B-A4B-it
 pipeline_tag: image-text-to-text
 library_name: mlx
-base_model: google/diffusiongemma-26B-A4B-it
 tags:
-- mlx
+  - mlx
+  - apple-silicon
+  - diffusion-gemma
+  - mixture-of-experts
+  - quantized
+  - 4-bit
+  - mirror
+  - automatosx
+  - ax-engine
 ---
 
-# mlx-community/diffusiongemma-26B-A4B-it-4bit
+# AX DiffusionGemma 26B-A4B IT MLX 4-bit
+
+> **Transparent upstream mirror — AutomatosX made no model changes.**
+
+This is a revision-pinned, byte-exact mirror of
+[mlx-community/diffusiongemma-26B-A4B-it-4bit](https://huggingface.co/mlx-community/diffusiongemma-26B-A4B-it-4bit)
+at commit `a7a81407613811e8ba63af92ac0d852b809e191f`.
+
+AutomatosX did not train, fine-tune, merge, convert, quantize, re-quantize, or
+otherwise alter the weights, configuration, tokenizer, processor, chat
+template, or generation settings. The MLX conversion and quantization were
+performed upstream by MLX Community with `mlx-vlm` 0.6.3. AutomatosX adds only
+this mirror documentation, the preserved upstream model card, a copy of the
+declared license, and machine-readable provenance.
+
+## Model details
+
+- Base model: [google/diffusiongemma-26B-A4B-it](https://huggingface.co/google/diffusiongemma-26B-A4B-it)
+- Upstream MLX source: [mlx-community/diffusiongemma-26B-A4B-it-4bit](https://huggingface.co/mlx-community/diffusiongemma-26B-A4B-it-4bit)
+- Format: MLX Safetensors for Apple Silicon
+- Architecture: `DiffusionGemmaForBlockDiffusion`, mixture of experts
+- Quantization: upstream 4-bit affine, group size 64, with the upstream 8-bit exceptions unchanged
+- Weight shards: 4, totaling 16,543,055,405 bytes
+- Generation: block-autoregressive discrete diffusion with a 256-token canvas
+- MTP: not applicable; this is not an autoregressive next-token model
+
+## Download
 
-This model was converted to MLX format from [`google/diffusiongemma-26B-A4B-it`](https://huggingface.co/google/diffusiongemma-26B-A4B-it)
-using mlx-vlm version **0.6.3**.
-Refer to the [original model card](https://huggingface.co/google/diffusiongemma-26B-A4B-it) for more details on the model.
+~~~bash
+hf download AutomatosX/AX-DiffusionGemma-26B-A4B-IT-MLX-4bit \
+  --local-dir ./AX-DiffusionGemma-26B-A4B-IT-MLX-4bit
+~~~
 
-## Use with mlx
+## Use with MLX-VLM
 
-```bash
+~~~bash
 pip install -U mlx-vlm
-```
+python -m mlx_vlm.generate \
+  --model AutomatosX/AX-DiffusionGemma-26B-A4B-IT-MLX-4bit \
+  --max-tokens 100 \
+  --temperature 0.0 \
+  --prompt "Describe this image." \
+  --image <path_to_image>
+~~~
+
+## Try with AX Engine
+
+[AX Engine](https://github.com/defai-digital/ax-engine) has an experimental
+native MLX path for DiffusionGemma. Its download workflow generates the local
+runtime manifest without changing the published model artifacts:
+
+~~~bash
+ax-engine serve AutomatosX/AX-DiffusionGemma-26B-A4B-IT-MLX-4bit \
+  --download --port 31418
+~~~
+
+DiffusionGemma support in AX Engine is experimental and is not recommended for
+production use. Its first visible output is a committed diffusion block, so
+ordinary autoregressive TTFT and decode-throughput comparisons do not apply.
+
+## Mirror policy and provenance
+
+`UPSTREAM_README.md` preserves the original MLX Community model card.
+`ax_provenance.json` pins the source commit and records SHA-256 values and sizes
+for every mirrored artifact. All source artifacts other than the replaced model
+card are byte-identical to the pinned upstream revision.
+
+This repository exists for revision-pinned cataloging and convenient discovery;
+it does not represent a new model, conversion, quantization, or benchmark claim
+from AutomatosX.
+
+## License and responsible use
 
-```bash
-python -m mlx_vlm.generate --model mlx-community/diffusiongemma-26B-A4B-it-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
-```
+The upstream MLX repository and Google base model declare Apache License 2.0.
+See `LICENSE`, the preserved upstream card, and the
+[Google base-model card](https://huggingface.co/google/diffusiongemma-26B-A4B-it)
+for usage limitations, safety guidance, and responsible-use considerations.

UPSTREAM_README.md

@@ -0,0 +1,25 @@
+---
+license: apache-2.0
+license_link: https://ai.google.dev/gemma/docs/gemma_4_license
+pipeline_tag: image-text-to-text
+library_name: mlx
+base_model: google/diffusiongemma-26B-A4B-it
+tags:
+- mlx
+---
+
+# mlx-community/diffusiongemma-26B-A4B-it-4bit
+
+This model was converted to MLX format from [`google/diffusiongemma-26B-A4B-it`](https://huggingface.co/google/diffusiongemma-26B-A4B-it)
+using mlx-vlm version **0.6.3**.
+Refer to the [original model card](https://huggingface.co/google/diffusiongemma-26B-A4B-it) for more details on the model.
+
+## Use with mlx
+
+```bash
+pip install -U mlx-vlm
+```
+
+```bash
+python -m mlx_vlm.generate --model mlx-community/diffusiongemma-26B-A4B-it-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
+```

ax_provenance.json

@@ -0,0 +1,56 @@
+{
+  "schema_version": "ax.model_provenance.v1",
+  "published_by": "AutomatosX",
+  "release_type": "transparent_upstream_mirror",
+  "publication_date": "2026-07-20",
+  "source": {
+    "repo_id": "mlx-community/diffusiongemma-26B-A4B-it-4bit",
+    "revision": "a7a81407613811e8ba63af92ac0d852b809e191f",
+    "model_artifacts_byte_exact": true,
+    "upstream_readme_preserved_as": "UPSTREAM_README.md",
+    "upstream_readme_sha256": "ad3262ee1b00cc856307a469e710991295712fee20480789aa522152785866c8"
+  },
+  "transform": {
+    "weights_modified": false,
+    "config_modified": false,
+    "tokenizer_modified": false,
+    "processor_modified": false,
+    "chat_template_modified": false,
+    "generation_config_modified": false,
+    "fine_tuned": false,
+    "merged": false,
+    "converted": false,
+    "requantized": false,
+    "mtp_added": false
+  },
+  "quantization": {
+    "format": "mlx",
+    "mode": "affine",
+    "bits": 4,
+    "group_size": 64,
+    "upstream_mixed_precision_exceptions_preserved": true,
+    "upstream_config_unchanged": true
+  },
+  "artifacts": [
+    {"path": ".gitattributes", "size_bytes": 1570, "sha256": "34448b82c17d60fec9b65b1f093c115ddbaadc04beb1b0140b6bfed2e012a930"},
+    {"path": "chat_template.jinja", "size_bytes": 17336, "sha256": "2f1b4d75d067bae3fe44e676721c7f077d243bc007156cb9c2f8b5836613d082"},
+    {"path": "config.json", "size_bytes": 58854, "sha256": "b41320c97651075363f2895e2cbb3d1580670ee11edb653a14290a35bbf7cac5"},
+    {"path": "generation_config.json", "size_bytes": 357, "sha256": "99334f763c3dbe8b161aeaca1c150a05344299fda2d2e4a0e1d342c744461200"},
+    {"path": "model-00001-of-00004.safetensors", "size_bytes": 5215121220, "sha256": "4e9e90d11166740e647ab81edc7eb85ce93fbd97bd6a3b352407224b6337833a"},
+    {"path": "model-00002-of-00004.safetensors", "size_bytes": 5358706305, "sha256": "67508ed60a26b9e725be0fb4c2e5bb8f0b76f02ecd33650c66c3330164257ad2"},
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+    {"path": "model-00004-of-00004.safetensors", "size_bytes": 602183698, "sha256": "ead1033d8d0907f5f7820efb5292a87359ba4683ce9b947fddf5e2e57792ae5f"},
+    {"path": "model.safetensors.index.json", "size_bytes": 165362, "sha256": "9af3e8635b62d12870e3fe0cc63eafb4bc42d9e031eac409eb5f32cdc974e902"},
+    {"path": "processor_config.json", "size_bytes": 911, "sha256": "b113d8d45d04095c078674b92ec5f32b2857abee2c99c6993e1e557affd69cf9"},
+    {"path": "tokenizer.json", "size_bytes": 32169626, "sha256": "cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f"},
+    {"path": "tokenizer_config.json", "size_bytes": 2749, "sha256": "c1112569480ce4f86410f29131ff779f8944097f118f5524f4762ca85a32aa5b"}
+  ],
+  "mirror_metadata_additions": [
+    "README.md",
+    "UPSTREAM_README.md",
+    "LICENSE",
+    "ax_provenance.json"
+  ],
+  "excluded_local_only_files": [],
+  "mtp": false
+}