TRELLIS-image-large — GGUF (f16)

GGUF (f16) conversion of the sparse-structure decoder from microsoft/TRELLIS-image-large for the trellis2cpp / 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 and 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. See LICENSE. Copyright (c) Microsoft Corporation.

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GGUF

Model size

73.7M params

Architecture

trellis2-ss-dec

Hardware compatibility

16-bit

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