nv-tlabs/LLaMA-Mesh

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1166 stars · 77 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LLaMA-Mesh is a fine-tuned large language model from NVIDIA Research that generates and understands 3D meshes by representing vertex coordinates and face definitions as plain text. It supports conversational text-to-3D generation, interleaved text and mesh output, and mesh interpretation, with a Gradio demo UI and a Blender addon.

Use cases

• generate 3d mesh from a text prompt
• chat with an llm to create 3d models
• convert text descriptions into obj mesh files
• understand and interpret 3d meshes with a language model
• fine-tune an llm for 3d asset generation
• generate 3d models inside blender via addon

When to choose

• you want conversational, prompt-driven 3D mesh generation in a single model
• you need a model that keeps strong text abilities while outputting 3D meshes
• you want to experiment with text-based 3D tokenization and LLM fine-tuning research

When to avoid

• you need high-fidelity production 3D assets with detailed textures
• you lack a GPU or cannot run large language model inference locally
• you need non-mesh 3D formats or CAD-precision geometry

Facets

library · maturity active

llm-inference machine-learning deep-learning llm-training large-language-models artificial-intelligence graphics python 3d-generation mesh-generation multimodal text-to-3d obj-format gradio nvidia fine-tuning transformers game-development gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="nv-tlabs/LLaMA-Mesh")