Alternatives and similar repositories for MM-Interleaved

Users that are interested in MM-Interleaved are comparing it to the libraries listed below

• OpenGVLab / OmniCorpus
  [ICLR 2025 Spotlight] OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
  ☆401Updated 6 months ago
• baaivision / EVE
  EVE Series: Encoder-Free Vision-Language Models from BAAI
  ☆357Updated 3 months ago
• baaivision / CapsFusion
  [CVPR 2024] CapsFusion: Rethinking Image-Text Data at Scale
  ☆211Updated last year
• FreedomIntelligence / ALLaVA
  Harnessing 1.4M GPT4V-synthesized Data for A Lite Vision-Language Model
  ☆276Updated last year
• RunpeiDong / DreamLLM
  [ICLR 2024 Spotlight] DreamLLM: Synergistic Multimodal Comprehension and Creation
  ☆460Updated 11 months ago
• jy0205 / LaVIT
  LaVIT: Empower the Large Language Model to Understand and Generate Visual Content
  ☆597Updated last year
• Liuziyu77 / MMDU
  Official repository of MMDU dataset
  ☆97Updated last year
• EvolvingLMMs-Lab / LongVA
  Long Context Transfer from Language to Vision
  ☆396Updated 7 months ago
• zai-org / CogCoM
  ☆214Updated last year
• AILab-CVC / SEED-Bench
  (CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.
  ☆354Updated 9 months ago
• TIGER-AI-Lab / Mantis
  Official code for Paper "Mantis: Multi-Image Instruction Tuning" [TMLR 2024]
  ☆231Updated 7 months ago
• OpenGVLab / MM-NIAH
  [NeurIPS 2024] Needle In A Multimodal Haystack (MM-NIAH): A comprehensive benchmark designed to systematically evaluate the capability of…
  ☆116Updated 11 months ago
• mutonix / Vript
  ☆155Updated 9 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"
  ☆196Updated last year
• luogen1996 / LLaVA-HR
  [ICLR2025] LLaVA-HR: High-Resolution Large Language-Vision Assistant
  ☆245Updated last year
• X2FD / LVIS-INSTRUCT4V
  ☆133Updated last year
• Victorwz / Open-Qwen2VL
  [COLM 2025] Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources
  ☆281Updated 2 months ago
• invictus717 / MiCo
  [ICCV 2025] Explore the Limits of Omni-modal Pretraining at Scale
  ☆118Updated last year
• baaivision / DenseFusion
  DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception
  ☆157Updated 11 months ago
• zai-org / LVBench
  [ICCV 2025] LVBench: An Extreme Long Video Understanding Benchmark
  ☆125Updated 4 months ago
• OpenGVLab / MMT-Bench
  [ICML 2024] | MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
  ☆115Updated last year
• RLHF-V / RLHF-V
  [CVPR'24] RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback
  ☆295Updated last year
• ShareGPT4Omni / ShareGPT4V
  [ECCV 2024] ShareGPT4V: Improving Large Multi-modal Models with Better Captions
  ☆240Updated last year
• Kwai-YuanQi / MM-RLHF
  The Next Step Forward in Multimodal LLM Alignment
  ☆185Updated 6 months ago
• open-compass / MMBench
  Official Repo of "MMBench: Is Your Multi-modal Model an All-around Player?"
  ☆263Updated 5 months ago
• RifleZhang / LLaVA-Hound-DPO
  ☆155Updated last year
• scenarios / WeMM
  ☆87Updated last year
• bronyayang / Law_of_Vision_Representation_in_MLLMs
  [COLM'25] Official implementation of the Law of Vision Representation in MLLMs
  ☆168Updated last month
• JUNJIE99 / MLVU
  🔥🔥MLVU: Multi-task Long Video Understanding Benchmark
  ☆231Updated 2 months ago
• OpenGVLab / LAMM
  [NeurIPS 2023 Datasets and Benchmarks Track] LAMM: Multi-Modal Large Language Models and Applications as AI Agents
  ☆317Updated last year