{"schema_version":"onlylabs.public_signal.v1","title":"Mistral AI Repo: mistralai/mistral-finetune","description":"Mistral AI repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/8b2929b5-1f5f-4b84-bac4-cbfd089a01a2","json_url":"https://onlylabs.fyi/signals/8b2929b5-1f5f-4b84-bac4-cbfd089a01a2/signal.json","generated_at":"2026-06-11T03:59:00.524618+00:00","org":{"slug":"mistral","name":"Mistral AI","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/mistral","dossier_json_url":"https://onlylabs.fyi/labs/mistral/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/8b2929b5-1f5f-4b84-bac4-cbfd089a01a2","signal_json":"https://onlylabs.fyi/signals/8b2929b5-1f5f-4b84-bac4-cbfd089a01a2/signal.json","source":"https://github.com/mistralai/mistral-finetune","lab_dossier":"https://onlylabs.fyi/labs/mistral","lab_dossier_json":"https://onlylabs.fyi/labs/mistral/dossier.json","analysis":"https://onlylabs.fyi/analysis/mistral","analysis_json":"https://onlylabs.fyi/analysis/mistral/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/mistral/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Mistral AI published mistralai/mistral-finetune (Python). 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This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. 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It is based on [LoRA](https://arxiv.org/abs/2106.09685), a training paradigm where most weights are frozen and only 1-2% of additional weights in the form of low-rank matrix perturbations are trained. For maximum efficiency it is recommended to use an A100 or H100 GPU. The codebase is optimized for multi-GPU-single-node training setups, but for smaller models, such as the 7B a single GPU suffices. > **Note** > > - The goal of this repository is to provide a simple, guided entrypoint to finetune Mistral models. > As such, it is fairly opinionated (especially around data formatting) and does not aim at..."},"evidence_pages":[{"url":"https://github.com/mistralai/mistral-finetune","final_url":"https://github.com/mistralai/mistral-finetune","title":"mistralai/mistral-finetune repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:59:00.524618+00:00","bytes":33111,"raw_path":"257b861a794da82ebfccf6ce64993d440a5f23c2562277907101d404629b59f4.json","content_hash":"c60cb6c490e0399a34d498f31f094ba5f198d687feb6a58ac81e0d19f0fdcde8","excerpt_chars":1200,"truncated":true,"excerpt":"mistralai/mistral-finetune Language: Python License: Apache-2.0 Stars: 3091 Forks: 318 Open issues: 49 Created: 2024-05-24T18:19:28Z Pushed: 2025-11-21T10:27:03Z Default branch: main Fork: no Archived: no README: Mistral-finetune <a target=\"_blank\" href=\"https://colab.research.google.com/github/mistralai/mistral-finetune/blob/main/tutorials/mistral_finetune_7b.ipynb\"> <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/> </a> `mistral-finetune` is a light-weight codebase that enables memory-efficient and performant finetuning of Mistral's models. 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