SkyworkAI/Skywork-R1V resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3167 stars · 282 forks observed · 2026-08-28

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

Skywork-R1V is a series of open-source multimodal reasoning models (up to 38B parameters) that extend R1-style LLMs to visual inputs via a lightweight projector and reinforcement finetuning with GRPO. The repository provides model weights, inference code, and evaluation scripts for reproducing benchmark results like MMMU and MathVista.

Use cases

• run a multimodal reasoning model on images and text
• reproduce MMMU and MathVista benchmark results
• fine-tune a vision-language model with GRPO reinforcement learning
• deploy an open-source visual chain-of-thought model
• compare open multimodal reasoning models against GPT-4o
• run quantized 38B VLM inference on a single 30GB GPU

When to choose

• you need an open-weights multimodal reasoning model with strong benchmark scores
• you want to study or extend RL post-training (GRPO) for vision-language models
• you need visual chain-of-thought reasoning with reproducible eval code

When to avoid

• you need a lightweight model for CPU or edge devices
• you only need text-only LLM inference
• you want a turnkey hosted API rather than self-hosted weights

Facets

learning-resource · maturity active

machine-learning deep-learning llm-inference reinforcement-learning computer-vision nlp large-language-models deep-learning computer-vision artificial-intelligence python multimodal vision-language-model chain-of-thought grpo model-weights reasoning vlm awq-quantization natural-language-processing gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="SkyworkAI/Skywork-R1V")