kurakurai/Luth-2-2B-GGUF

Luth-2-2B

Luth-2-2B is a 1.88B-parameter (text only) non-reasoning model, setting a new state of the art in French for its size across math, code, instruction following, general knowledge and tool calling. It is trained on a 3B-token French SFT mixture followed by multi-domain on-policy distillation (MOPD). The model outperforms every other model in its size class on our selected French benchmarks and stays competitive with larger models. It is small enough for efficient local and on-device deployment.

• —📄 Blog: Luth-2: Pushing the French Capabilities of SLMs with MOPD
• —🤗 Models: Luth-2-0.8B · Luth-2-2B
• —📊 Datasets: SFT · RL
• —💻 Code: GitHub
• —🏆 Leaderboard: French LLM Leaderboard

Example usage with llama.cpp:

llama-cli -hf kurakurai/Luth-2-2B-GGUF:Q4_K_M -c 4096 --color -i \
    --temp 0.8 --top-k 20 --top-p 0.95

Contact

Questions or feedback? Reach us on LinkedIn: Maxence Lasbordes and Guillaume Pradel.

Citation

@misc{luth2,
  title  = {Luth-2: Pushing the French Capabilities of SLMs with MOPD},
  author = {Maxence Lasbordes and Guillaume Pradel},
  year   = {2026},
  url    = {https://huggingface.co/blog/MaxLSB/luth-2}
}