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