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Benjamin Bossan

Machine Learning Engineer, Hugging Face

Benjamin Bossan is a machine learning engineer at Hugging Face and a core contributor to the PEFT library for parameter-efficient fine-tuning methods such as LoRA. EuroPython and GitHub profiles describe his work across PEFT, Accelerate, and Diffusers, focused on making efficient fine-tuning practical for large models.123

At a glance

Current role
Machine Learning Engineer
Sources cited
3
Profile reviewed

Accomplishments

  • Core contributor / maintainer of Hugging Face PEFT.1
  • Contributions to Accelerate and Diffusers.2

PEFT and open-source fine-tuning

As a PEFT maintainer, Bossan helps ship LoRA and related adapters used widely for fine-tuning LLMs and diffusion models with far fewer trainable parameters than full fine-tuning. His EuroPython speaker bio and HF profile document ongoing contributions to the Hugging Face stack.12

Where they work

Open roles at Hugging Face (6)

See all 6 open jobs at Hugging Face →

Suggest a correction or removal

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References

3 sources · profile reviewed Oct 24, 2026 · data updated Oct 24, 2026

  1. huggingface/peftGitHub · Official page · accessed Oct 24, 2026
  2. Benjamin Bossan — EuroPython 2024EuroPython · Official page · accessed Oct 24, 2026
  3. BenjaminB — Hugging FaceHugging Face · Official page · accessed Oct 24, 2026