Osilly/Vision-R1 resource

Health v2 · maintenance only

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1571 stars · 27 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Vision-R1 is the official repository for a research paper on training reasoning-capable multimodal large language models using R1-like reinforcement learning with cold-start initialization. It provides training code, cold-start and RL datasets, and released model weights (7B to 72B) that improve mathematical visual reasoning benchmarks.

Use cases

• train a multimodal LLM with reinforcement learning for visual reasoning
• reproduce Vision-R1 reasoning MLLM results
• download cold-start and RL datasets for multimodal reasoning training
• improve math reasoning in vision-language models
• fine-tune Qwen2.5-VL with R1-style RL
• research reasoning capability in MLLMs

When to choose

• you need a reasoning-enhanced multimodal model for math/visual tasks
• you want to replicate or extend R1-style RL training for MLLMs
• you need released checkpoints and datasets for multimodal reasoning research

When to avoid

• you need a production-ready inference service rather than research code
• you require a permissively licensed project (no license is specified)
• you only need general-purpose VLM inference without reasoning training

Facets

learning-resource · maturity active

machine-learning llm-training deep-learning large-language-models machine-learning computer-vision artificial-intelligence python multimodal reinforcement-learning reasoning vision-language-model research-paper cold-start rlhf math-reasoning gpu linux

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