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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 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.

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Release history Release notifications | RSS feed

0.9.0

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

2 files

0.3.0

2 files

This release

0.2.0 This release

2 files

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