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awesome-llm-interpretability

A curated list of Large Language Model (LLM) Interpretability resources.

bonito

A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

distilling-step-by-step

flores

Facebook Low Resource (FLoRes) MT Benchmark

hallucination-leaderboard

Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

ladder-side-tuning

PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"

llm_distillation_playbook

Best practices for distilling large language models.

mamba.py

A Mamba with parallel scan in PyTorch.

openchat

OpenChat: Advancing Open-source Language Models with Imperfect Data

openmoe

A family of open-sourced Mixture-of-Experts (MoE) Large Language Models

transformers

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

trl

Train transformer language models with reinforcement learning.