BradyFU / Awesome-Multimodal-Large-Language-Models
Latest Advances on Multimodal Large Language Models
☆13,786Updated this week
Alternatives and similar repositories for Awesome-Multimodal-Large-Language-Models:
Users that are interested in Awesome-Multimodal-Large-Language-Models are comparing it to the libraries listed below
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆17,223Updated this week
- [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.☆21,346Updated 6 months ago
- a state-of-the-art-level open visual language model | 多模态预训练模型☆6,332Updated 8 months ago
- [CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型☆6,981Updated last month
- Fast and memory-efficient exact attention☆15,392Updated this week
- LAVIS - A One-stop Library for Language-Vision Intelligence☆10,219Updated 2 months ago
- Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"☆11,257Updated last month
- The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.☆5,404Updated 6 months ago
- QLoRA: Efficient Finetuning of Quantized LLMs☆10,224Updated 8 months ago
- [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters☆5,806Updated 10 months ago
- The official GitHub page for the survey paper "A Survey of Large Language Models".☆10,956Updated 5 months ago
- An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)☆4,208Updated 3 weeks ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆37,234Updated this week
- Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model☆3,411Updated 3 months ago
- [EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding☆2,908Updated 8 months ago
- An open-source framework for training large multimodal models.☆3,813Updated 5 months ago
- mPLUG-Owl: The Powerful Multi-modal Large Language Model Family☆2,411Updated 2 weeks ago
- SGLang is a fast serving framework for large language models and vision language models.☆9,072Updated this week
- An open source implementation of CLIP.☆10,949Updated last month
- Large Language Model Text Generation Inference☆9,718Updated this week
- Train transformer language models with reinforcement learning.☆11,398Updated this week
- Accessible large language models via k-bit quantization for PyTorch.☆6,649Updated this week
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.☆5,511Updated this week
- The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.☆7,162Updated 6 months ago
- Retrieval and Retrieval-augmented LLMs☆8,428Updated this week
- Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).☆6,748Updated this week
- An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)☆4,474Updated this week
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆8,293Updated this week
- PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation☆5,005Updated 6 months ago
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)☆40,036Updated this week