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

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

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

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

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

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

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

🔧🔗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!

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

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

🕸️🔗groma-mllm.github.io/

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

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

🔧🔗https://github.com/forhaoliu/ringattention

Transformers with Arbitrarily Large Context

🔧🔗https://github.com/forhaoliu/chain-of-hindsight

Chain-of-Hindsight, A Scalable RLHF Method

🔧🔗https://github.com/forhaoliu/language-quantized-autoencoders

Language Quantized AutoEncoders This is a Jax implementation of our work Language Quantized AutoEncoders.

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

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/neurosity/EEG-GPT

Foundational model for the Neurosity Crown

Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6