Large Language Models

https://github.com/run-llama/llama_index LlamaIndex is a data framework for your LLM applications

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

🔧🔗 meta-llama/llama-recipes Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs.

https://github.com/arcee-ai/mergekit Tools for merging pretrained large language models.

https://github.com/lm-sys/FastChat An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Resources

https://github.com/mistralai/mistral-inference Official inference library for Mistral models

mistral.ai/

🔧🔗https://github.com/AlexCheema/veritas

Veritas is a library for verifying inference of large ML models on Mina.

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

The Arcee client for executing domain-adpated language model routines

https://github.com/THUDM/AutoWebGLM An LLM-based Web Navigating Agent (KDD'24)

https://github.com/dot-agent/nextpy 🤖Self-Modifying Framework from the Future 🔮 World's First AMS