mistralai/mistral-finetune

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

3096 stars · 317 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A lightweight Python codebase from Mistral AI for memory-efficient LoRA fine-tuning of Mistral's language models, optimized for single-node multi-GPU setups. The repository is now archived and no longer maintained.

Use cases

• fine-tune Mistral 7B on my own data
• LoRA fine-tuning of Mistral models
• train a custom chat model from a Mistral checkpoint
• memory-efficient LLM fine-tuning on a single A100
• adapt Mistral Large or Nemo to my domain
• instruction-tune a Mistral instruct model

When to choose

• You specifically want to fine-tune Mistral models with LoRA and have A100/H100 GPUs
• You want a simple, opinionated entrypoint for Mistral fine-tuning with guided data formatting

When to avoid

• You need actively maintained software - the repo is archived
• You need support for many model architectures or hardware types
• You want a generic fine-tuning framework - consider torchtune instead

Facets

library · maturity abandoned

llm-training machine-learning deep-learning large-language-models machine-learning deep-learning python lora fine-tuning mistral archived pytorch gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="mistralai/mistral-finetune")