lllm2
A local NVIDIA LLM workbench: download GGUF models, run llama.cpp, compare settings and save measured results from a browser panel.
Install and run
On Linux with Python 3.11+ and a working NVIDIA driver, install uv, then:
uv tool install --upgrade lllm2
lllm2 engines install cuda
lllm2
The engine is downloaded from the matching lllm2 release, with CUDA runtime
libraries included. No host compiler or CUDA toolkit is needed. Existing builds
can also be discovered. Open
http://127.0.0.1:8082, download a model and click Start. The model API
listens at http://127.0.0.1:1920/v1.
Documentation covers getting started, common tasks, reference, measurements and development and releases.
Project structure and tooling follow the DLS Python Copier template.
1 maintainer
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