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 lllm2
lllm2 engines install cuda
lllm2
The engine build needs Git, CMake, a C++ compiler and the CUDA toolkit; install
those separately. 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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