TRELLIS.2-4B-GGUF / README.md
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metadata
license: mit
base_model: microsoft/TRELLIS.2-4B
tags:
  - gguf
  - trellis
  - image-to-3d
  - ggml
pipeline_tag: image-to-3d

TRELLIS.2-4B — GGUF (f16)

GGUF (f16) conversions of microsoft/TRELLIS.2-4B for the trellis2cpp / ggml runtime — a CUDA-free, PyTorch-free C++ port of the TRELLIS.2 image-to-3D pipeline. Load these directly; no safetensors conversion or Python is needed at inference.

Files

File Pipeline stage Source safetensors
ss_flow_f16.gguf Sparse-structure flow (64³ occupancy) ss_flow_img_dit_1_3B_64_bf16
slat_flow_f16.gguf Shape-SLAT flow, 512 fine slat_flow_img2shape_dit_1_3B_512_bf16
slat_flow_1024_f16.gguf Shape-SLAT flow, 1024 cascade slat_flow_img2shape_dit_1_3B_1024_bf16
shape_dec_f16.gguf Shape decoder → dual-grid fields shape_dec_next_dc_f16c32_fp16
shape_enc_f16.gguf Shape encoder (re-encode for texture flow) shape_enc_next_dc_f16c32_fp16
tex_dec_f16.gguf PBR texture decoder tex_dec_next_dc_f16c32_fp16
tex_slat_flow_512_f16.gguf Texture-SLAT flow, 512 slat_flow_imgshape2tex_dit_1_3B_512_bf16
tex_slat_flow_1024_f16.gguf Texture-SLAT flow, 1024 slat_flow_imgshape2tex_dit_1_3B_1024_bf16

The image conditioning encoder (DINOv3) and the sparse-structure decoder are published separately: dinov3-vitl16-pretrain-lvd1689m-GGUF and TRELLIS-image-large-GGUF.

Conversion

Converted from the upstream bf16/fp16 safetensors to GGUF f16 (ggml ftype 1) with the convert_*_to_gguf.py scripts in the trellis2cpp project. No weights were retrained or modified — this is a format conversion only.

License

MIT, inherited from microsoft/TRELLIS.2-4B. See LICENSE. Copyright (c) Microsoft Corporation.