Alternatives and similar repositories for R1V-Free

Users that are interested in R1V-Free are comparing it to the libraries listed below

• TideDra / VL-RLHF
  A RLHF Infrastructure for Vision-Language Models
  ☆187Updated last year
• Hui-design / R1-Video-fixbug
  [Blog 1] Recording a bug of grpo_trainer in some R1 projects
  ☆22Updated 9 months ago
• Kwai-YuanQi / MM-RLHF
  The Next Step Forward in Multimodal LLM Alignment
  ☆191Updated 7 months ago
• RupertLuo / VoCoT
  VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models
  ☆77Updated last year
• TIGER-AI-Lab / VL-Rethinker
  The official code of "VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning" [NeurIPS25]
  ☆168Updated 6 months ago
• xinyan-cxy / MINT-CoT
  [NeurIPS 2025] MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning
  ☆90Updated 2 months ago
• RifleZhang / LLaVA-Reasoner-DPO
  ☆104Updated 11 months ago
• deepcs233 / Visual-CoT
  [Neurips'24 Spotlight] Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought …
  ☆409Updated 11 months ago
• Wang-Xiaodong1899 / Open-R1-Video
  ✨First Open-Source R1-like Video-LLM [2025/02/18]
  ☆379Updated 9 months ago
• Mini-o3 / Mini-o3
  Official Code for "Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search"
  ☆373Updated 3 months ago
• MM-Thinking / Metis-RISE
  Metis-RISE: RL Incentivizes and SFT Enhances Multimodal Reasoning Model Learning
  ☆23Updated 5 months ago
• NUS-TRAIL / NoisyRollout
  [NeurIPS 2025] NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation
  ☆101Updated 2 months ago
• dongyh20 / Insight-V
  [CVPR2025 Highlight] Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
  ☆229Updated last month
• FanqingM / MM-Eureka-V0
  MM-Eureka V0 also called R1-Multimodal-Journey, Latest version is in MM-Eureka
  ☆321Updated 5 months ago
• zhishuifeiqian / VCR-Bench
  VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning
  ☆32Updated 5 months ago
• ModalMinds / MM-PRM
  MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision
  ☆25Updated 6 months ago
• MME-Benchmarks / MME-CoT
  MME-CoT: Benchmarking Chain-of-Thought in LMMs for Reasoning Quality, Robustness, and Efficiency
  ☆135Updated 4 months ago
• njucckevin / MM-Self-Improve
  A Self-Training Framework for Vision-Language Reasoning
  ☆88Updated 10 months ago
• MikeWangWZHL / PAPO
  Official repo for "PAPO: Perception-Aware Policy Optimization for Multimodal Reasoning"
  ☆104Updated last week
• longvideobench / LongVideoBench
  [Neurips 24' D&B] Official Dataloader and Evaluation Scripts for LongVideoBench.
  ☆112Updated last year
• Video-R1 / Awesome-Multimodal-Reasoning
  Collections of Papers and Projects for Multimodal Reasoning.
  ☆106Updated 7 months ago
• RifleZhang / LLaVA-Hound-DPO
  ☆155Updated last year
• OpenRLHF / OpenRLHF-M
  An Easy-to-use, Scalable and High-performance RLHF Framework designed for Multimodal Models.
  ☆149Updated 2 months ago
• MME-Benchmarks / MME-RealWorld
  ✨✨ [ICLR 2025] MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
  ☆147Updated last month
• PKU-YuanGroup / Look-Back
  This repository is the official implementation of "Look-Back: Implicit Visual Re-focusing in MLLM Reasoning".
  ☆73Updated 5 months ago
• Osilly / Awesome-Interleaving-Reasoning
  Interleaving Reasoning: Next-Generation Reasoning Systems for AGI
  ☆216Updated last month
• Tencent / SelfEvolvingAgent
  Research works from Tencent AI Lab regarding self-evolving agents
  ☆70Updated 3 months ago
• ML-GSAI / LLaDA-V
  ☆297Updated 2 months ago
• UCSC-VLAA / VLAA-Thinking
  [TMLR 25] SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
  ☆144Updated 2 months ago
• MMStar-Benchmark / MMStar
  [NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"
  ☆200Updated last year