Maxime Labonne
Head of Post-Training at Liquid AI; author of the LLM Course and its quantization tutorials
Maxime Labonne is Head of Post-Training at Liquid AI, where his work is post-training the company's LFM2 and LFM2.5 models. He is listed among the contributors to the LFM2 technical report, whose models ship with open weights and deployment packages for tools such as llama.cpp and ExecuTorch. He also publishes the LLM Course on GitHub, which includes his tutorials on quantizing models with GGUF and llama.cpp, GPTQ, and ExLlamaV2, and an AutoQuant notebook for producing quantized versions of a model.143
Work
LFM2 and LFM2.5
Post-trains Liquid AI's LFM2 and LFM2.5 models, per his GitHub profile; listed as a contributor to the LFM2 technical report.14
The LLM Course (external site: github.com)
Publishes the course, whose quantization section links his tutorials on GGUF with llama.cpp, 4-bit GPTQ, and ExLlamaV2; its tools section links his AutoQuant notebook.13
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