large-language-models

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

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

🤖 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/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.

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

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/InternLM/agentlego Enhance LLM agents with versatile tool APIs

https://github.com/YuanGongND/ltu Code, Dataset, and Pretrained Models for Audio and Speech Large Language Model "Listen, Think, and Understand".

Language Models as Semantic Indexers

Learning Multiplex Representations on Text-Attributed Graphs with One Language Model Encoder