Initial release
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license: mit
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base_model: microsoft/TRELLIS-image-large
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tags:
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- gguf
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- trellis
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- image-to-3d
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- ggml
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pipeline_tag: image-to-3d
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---
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# TRELLIS-image-large — GGUF (f16)
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GGUF (`f16`) conversion of the sparse-structure decoder from
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[microsoft/TRELLIS-image-large](https://huggingface.co/microsoft/TRELLIS-image-large) for
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the **[trellis2cpp](https://github.com/localai-org/trellis2cpp)** /
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[ggml](https://github.com/ggml-org/ggml) runtime.
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The TRELLIS.2 geometry pipeline reuses this TRELLIS-1 sparse-structure decoder to turn the
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sparse-structure flow output into a 64³ voxel scaffold.
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## Files
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| File | Pipeline stage | Source safetensors |
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|---|---|---|
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| `ss_dec_f16.gguf` | Sparse-structure decoder → 64³ voxel scaffold | `ss_dec_conv3d_16l8_fp16` |
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The rest of the TRELLIS.2 pipeline is published at
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[TRELLIS.2-4B-GGUF](https://huggingface.co/LocalAI-io/TRELLIS.2-4B-GGUF) and
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[dinov3-vitl16-pretrain-lvd1689m-GGUF](https://huggingface.co/LocalAI-io/dinov3-vitl16-pretrain-lvd1689m-GGUF).
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## Conversion
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Converted from the upstream `fp16` safetensors to GGUF `f16` (ggml ftype 1) with
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`convert_ss_dec_to_gguf.py` in the trellis2cpp project. Format conversion only.
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## License
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MIT, inherited from
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[microsoft/TRELLIS-image-large](https://huggingface.co/microsoft/TRELLIS-image-large).
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See [`LICENSE`](LICENSE). Copyright (c) Microsoft Corporation.
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