LLaMA-Mesh is a technology that extends the capabilities of large language models (LLMs) pre-trained on text for generating 3D meshes. This technology leverages the spatial knowledge already embedded in LLMs, enabling conversational 3D generation and mesh understanding. The main advantage of LLaMA-Mesh lies in its ability to represent vertex coordinates and face definitions of 3D meshes as plain text, allowing direct integration with LLMs without the need to expand vocabularies. Key benefits include the capacity to generate 3D meshes from text prompts, on-demand generation of interleaved text and 3D mesh outputs, and the ability to understand and interpret 3D meshes. LLaMA-Mesh achieves mesh generation quality comparable to models trained from scratch while maintaining strong text generation performance.