Awesome-Multimodal-Large-Language-Models
Latest Advances on Multimodal Large Language Models
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Awesome-Multimodal-Large-Language-Models is a repository that compiles surveys and advancements in multimodal large language models, focusing on evaluation, unified understanding, and generation.
Good fit when
- Use Awesome-Multimodal-Large-Language-Models when you need comprehensive surveys and benchmarks for evaluating multimodal large language models.
- Choose this repository if you are interested in the latest advancements in multimodal instruction tuning, in-context learning, and chain-of-thought reasoning.
Avoid when
- Avoid using Awesome-Multimodal-Large-Language-Models if you are looking for a repository that focuses solely on unimodal language models or does not cover multimodal aspects.
- Do not use this repository if you require tools or surveys that are not specifically tailored to multimodal large language models, as the content here is specialized and may not cover your needs.
- Pricing:
- freemium - The repository is free to use, but specific models or datasets within it may have their own licensing terms.
- Requirements:
- Min 8 GB RAM; The repository does not specify hardware requirements, but working with large language models typically requires at least 8GB of RAM.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
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git clone https://github.com/BradyFU/Awesome-Multimodal-Large-Language-ModelsHow it fits your stack(9)
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Overview
A repository that compiles surveys and advancements in multimodal large language models, focusing on evaluation, unified understanding, and generation.
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README
Awesome Multimodal Large Language Models <p align="center" <img src="./images/mig logo.png" width="90%" height="90%" </p ✨ Highlights of NJU MiG 🔥🔥 Surveys of MLLMs 💬 WeChat (MLLM微信交流群) 🌟 MME Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs arXiv 2025, Paper, P...
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