Xiang LIU's repositories

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LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Language Model for All.

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alpaca_eval

An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

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AR-LSAT

Experiment for lsat

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collie

Collaborative Tuning of Large Language Models in an Efficient Way

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datawhale_lee_ML_note

datawhale 李宏毅 《机器学习》 笔记

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FastChat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

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InstructGLM

ChatGLM-6B 指令学习|指令数据|Instruct

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kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

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label-words-are-anchors

Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

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LOMO

LOMO: LOw-Memory Optimization

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LongLoRA

Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)

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MeZO

MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333

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notablog

Tell stories of your work with Notion

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Prompt-Engineering-Guide

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

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pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

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RULER

This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?

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stanford_alpaca

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

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transformers

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

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vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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