42 lines
1.3 KiB
Markdown
42 lines
1.3 KiB
Markdown
---
|
|
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.
|