UCSC-REAL/TokenCleaning

Data Efficacy for Language Model Training

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

The official implementation of Self-Play Fine-Tuning (SPIN)

DataComp for Language Models

A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval

An easy to use off-policy synthetic data distillation engine for LLMs.

A project to improve skills of large language models

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)