L

llm-training

🔧🔗https://github.com/pytorch/torchtune PyTorch native post-training library

🕸️🔗pytorch.org/torchtune/main/

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

🔧🔗https://github.com/nbursa/user-sentiment-model The primary goal of this project is to train a machine learning model designed to analyze the sentiment of user tweets, aiming to support a broader a

The Arcee client for executing domain-adpated language model routines

https://github.com/coqui-ai/snakepit 🐍 Coqui's machine learning job scheduler

https://github.com/lm-sys/llm-decontaminator Code for the paper "Rethinking Benchmark and Contamination for Language Models with Rephrased Samples"