large-language-models

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

huggingface.co/transformers https://github.com/huggingface/transformers

🔧🔗https://github.com/gpustack/gpustack

Manage GPU clusters for running LLMs

https://github.com/InternLM/InternLM-XComposer InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

https://github.com/InternLM/xtuner An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

🔧🔗https://github.com/microsoft/Trace End-to-end Generative Optimization for AI Agents

🔧🔗https://github.com/bytedance/SALMONN SALMONN: Speech Audio Language Music Open Neural Network

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models" https://arxiv.org/pdf/2308.09687.pdf https://github.com/spcl/graph-of-thoughts

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴 https://github.com/decodingml/llm-twin-course

https://github.com/fabriziosalmi/UglyFeed Retrieve, aggregate, filter, evaluate, rewrite and serve RSS feeds using Large Language Models for fun, research and learning purposes.

🔧🔗https://github.com/FoundationVision/VAR [NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An ultra-simple, user-friendly yet state-of-the-art codebase for autoregressive image generation!

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".

https://github.com/mlc-ai/mlc-assistant Chat with your documents and improve your writing using large-language models within your browser.

🔧🔗https://github.com/gpustack/gguf-packer-go

Deliver LLMs of GGUF format via Dockerfile.

🔧🔗https://github.com/poloclub/transformer-explainer

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

💻 Decoding ML articles hub: Hands-on articles with code on production-grade ML

https://github.com/decodingml/articles-code

https://github.com/Lightning-AI/litgpt 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale. 🔗 https://lightning.ai/

https://github.com/InternLM/InternLM Official release of InternLM2.5 base and chat models. 1M context support 🔗 https://internlm.intern-ai.org.cn/

https://github.com/princeton-nlp/SimPO SimPO: Simple Preference Optimization with a Reference-Free Reward

https://github.com/mlc-ai/web-llm-chat Chat with AI large language models running natively in your browser. Enjoy private, server-free, seamless AI conversations.

🔧🔗https://github.com/FoundationVision/Groma

[ECCV2024] Grounded Multimodal Large Language Model with Localized Visual Tokenization

🕸️🔗groma-mllm.github.io/