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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.

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Release history Release notifications | RSS feed

This release

0.9.0 This release

2 files

0.8.3

2 files

0.8.1

2 files

0.8.0

2 files

0.7.1

2 files

0.7.0

2 files

0.6.0

2 files

0.5.4

2 files

0.5.3

2 files

0.5.2

2 files

0.5.1

2 files

0.5.0

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0.3.0

2 files

0.2.0

2 files

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