Publish pinned MOSS DMD16 browser conversion

.gitattributes

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+text/embedding.rows.sha256 filter=lfs diff=lfs merge=lfs -text
+text/tokenizer.json filter=lfs diff=lfs merge=lfs -text

LICENSE

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NOTICE

@@ -0,0 +1,14 @@
+MOSS browser conversion
+
+Upstream contributors: OpenMOSS-Team (MOSS-Image-SFT), the Qwen and FLUX
+teams, Smile Forge (ONNX image/decoder export), and lodestones (DMD LoRA).
+
+This distribution modifies image-transformer weights by W8-to-W4 RTN
+quantization (block 32), applies the original DMD LoRA unmerged in FP32 at
+strength 0.7, converts the text encoder to browser FP16 projections, and
+adds balanced query-chunked ONNX graph derivatives. Query chunks continue
+to attend to all original keys/values. Source pins and file hashes appear
+in publication-plan.json. Original model files are not modified by packaging.
+
+The base model, export and adapter model cards declare Apache License 2.0.
+The complete license accompanies this distribution as LICENSE.

README.md

@@ -0,0 +1,64 @@
+---
+license: apache-2.0
+base_model: OpenMOSS-Team/MOSS-Image-SFT
+pipeline_tag: text-to-image
+library_name: onnxruntime
+tags:
+  - onnx
+  - webgpu
+  - moss-image
+---
+# MOSS W4 with unmerged FP32 DMD LoRA for browser inference
+
+An experimental browser conversion prepared from these pinned upstream assets:
+
+- [smile-forge/moss-image-onnx](https://huggingface.co/smile-forge/moss-image-onnx/tree/1b6c0496cfcbfa53426245bd084d01d85ca0326e) at `1b6c0496cfcbfa53426245bd084d01d85ca0326e` (Apache-2.0).
+- [lodestones/MOSS-Image-SFT-8-steps-dmd](https://huggingface.co/lodestones/MOSS-Image-SFT-8-steps-dmd/tree/f95df83b5e90ae91ea412434b3f9b7f1c8c6314f) at `f95df83b5e90ae91ea412434b3f9b7f1c8c6314f` (Apache-2.0).
+- [OpenMOSS-Team/MOSS-Image-SFT](https://huggingface.co/OpenMOSS-Team/MOSS-Image-SFT/tree/f972bd4b4b9e3852133cc5da954d87bc32cd8fb9) at `f972bd4b4b9e3852133cc5da954d87bc32cd8fb9` (Apache-2.0).
+
+## Conversion and inference profile
+
+The image transformer was converted from the Smile Forge W8 ONNX export to
+experimental W4 RTN, block size 32. The DMD `lora_latest.safetensors` adapter
+is applied unmerged in FP32 at strength 0.7 over the unchanged W4 base files.
+The Qwen3.5-9B text encoder uses FP16 weights/activations, FP32 projection
+accumulation and browser attention state; it encodes the user's prompt at run
+time, with a 128-token limit. No precomputed caption embeddings are included.
+The decoder is the original FP16 ONNX export. Original external filenames
+are retained so each ONNX graph resolves the adjacent binary files.
+
+The `*-fullhd.onnx` derivatives split image attention queries into 16 chunks
+and decoder queries into 32 chunks with independent dynamic balanced Slice
+nodes. This avoids high-output-count Split kernels exceeding WebGPU storage
+buffer limits. Every
+query retains all original keys/values. The first two text-only MHA refiners
+remain unsplit. No denoiser/decoder weights or LoRA matrices are modified by
+this packaging step. Modified ONNX graph metadata records this transformation.
+The legacy `fullhd` names are retained; chunks support varying sequence lengths
+at least the chunk count, including small and uneven final chunks.
+
+The intended app profile is 16 release shift-5 Euler steps, CFG disabled,
+guidance 1. This is not the upstream data-space DMD generator/sampler. The
+minimum host memory setting is 32 GiB, with 64 GiB recommended. Runtime target
+is onnxruntime-web 1.30.0 with WebGPU and shader-f16. Device compatibility,
+quality and all image sizes require real GPU checks; ONNX validation and CPU
+attention equivalence tests alone do not establish end-to-end support.
+
+## Files, verification and publication
+
+`publication-plan.json` records the public runtime inventory, byte counts,
+SHA-256 values, source pins and conversion provenance. `text/text.json` is the
+unaltered conversion manifest; its unused `noise.f32` fixture record does not
+require shipping that fixture. Runtime files omit every fixed noise/caption
+fixture. README, LICENSE and NOTICE are public attribution files and do not
+need to be cached by the app. The offline packager never uploads or authenticates.
+After upload, supply the real repository and immutable uploaded commit to
+`scripts/prepare-moss-assets.py --repository OWNER/REPO --revision COMMIT` to
+generate the app's `manifest-draft.json`; no remote repository is invented.
+
+## License and attribution
+
+Upstream model cards declare Apache-2.0 for the base model, ONNX conversion and
+DMD adapter. See LICENSE for the complete Apache License 2.0 and NOTICE for
+attribution and modification notices. This package is an independent conversion;
+it does not imply endorsement by OpenMOSS, Qwen, FLUX, Smile Forge or lodestones.

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