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alpaca-lora

Instruct-tune LLaMA on consumer hardware

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

gitdemo

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lm-evaluation-harness

A framework for few-shot evaluation of language models.

mergelm

Codebase for Merging Language Models

moduleformer

ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward experts. We released a collection of ModuleFormer-based Language Models (MoLM) ranging in scale from 4 billion to 8 billion parameters.

pr

prompt-engineering-guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

sparsegpt

Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

transportationnetworks

Transportation Networks for Research

wanda

A simple and effective LLM pruning approach.