StarsfieldAI/R1-V

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

4063 stars · 281 forks observed · 2026-08-28

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

R1-V is an open-source research codebase for training vision-language models with reinforcement learning (RLVR/GRPO), demonstrating strong generalization for under $3 of compute. It includes training scripts, datasets, and evaluation tooling for models like Qwen2-VL and Qwen2.5-VL.

Use cases

• train a vision language model with reinforcement learning
• reproduce the R1 aha moment on VLMs cheaply
• run GRPO training on Qwen2.5-VL
• fine-tune VLMs with verifiable rewards
• distill DeepSeek-R1 visual reasoning traces
• experiment with RLVR for multimodal reasoning

When to choose

• you want to RL-train open VLMs on a small budget
• you're doing research on RLVR for multimodal models
• you need CLEVR/GEOQA training datasets and scripts

When to avoid

• you need a production-ready training framework with support guarantees
• you need a licensed library for commercial use (no license is specified)
• you only need inference, not training

Facets

library · maturity active

llm-training reinforcement-learning machine-learning deep-learning large-language-models machine-learning computer-vision artificial-intelligence deep-learning python vision-language-models rlvr grpo vlm-training research-code qwen2-vl vllm multimodal gpu linux

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markdown · JSON · MCP: product_card(name="StarsfieldAI/R1-V")