huggingface/open-r1

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26447 stars · 2445 forks observed · 2026-08-28

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

Open R1 is Hugging Face's fully open reproduction of the DeepSeek-R1 training pipeline, providing scripts for supervised fine-tuning, GRPO reinforcement learning, and synthetic data generation. It includes curated reasoning datasets and recipes to train reasoning-capable language models from base checkpoints.

Use cases

• reproduce deepseek-r1 training pipeline
• train a reasoning language model with GRPO
• fine-tune an LLM with SFT on reasoning data
• generate synthetic reasoning traces from a distilled model
• build an open reasoning model from a base model
• evaluate models on math and coding reasoning benchmarks

When to choose

• you want to replicate or build on DeepSeek-R1's training recipe
• you need open scripts for GRPO reinforcement learning of LLMs
• you want curated distilled reasoning datasets like Mixture-of-Thoughts
• you are training reasoning-capable models on GPU infrastructure

When to avoid

• you just need to run inference with an existing model
• you need a production LLM serving stack rather than training tooling
• you lack multi-GPU resources for large-scale training
• you need a general-purpose fine-tuning framework with broad model support

Facets

framework · maturity active

llm-training machine-learning data-generation rag large-language-models deep-learning machine-learning artificial-intelligence python deepseek-r1 reinforcement-learning grpo sft reasoning-models distillation synthetic-data huggingface gpu linux

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markdown · JSON · MCP: product_card(name="huggingface/open-r1")