JiahangXu

JiahangXu's Stars

• maitrix-org/llm-reasoners

  A library for advanced large language model reasoning

  Language:Python96877

• princeton-nlp/tree-of-thought-llm

  [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

  Language:Python4.4k407

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python164k43.5k

• microsoft/promptflow

  Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

  Language:Python8.7k780

• jxzhangjhu/Awesome-LLM-Prompt-Optimization

  Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models

  1366

• microsoft/sammo

  A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)

  Language:Python25218

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—foundation models

  Language:Python14k1.1k

• AGI-Edgerunners/LLM-Optimizers-Papers

  Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.

  19017

• hwchase17/auto-openai-prompter

  Language:Python22632

• horseee/LLM-Pruner

  [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support LLaMA, Llama-2, BLOOM, Vicuna, Baichuan, etc.

  Language:Python72879

• justinchiu/openlogprobs

  Extract full next-token probabilities via language model APIs

  Language:Python21614

• horseee/DeepCache

  [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

  Language:Python68732

• vllm-project/vllm

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

  Language:Python22.3k3.1k

• nlpxucan/WizardLM

  LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

  Language:Python9.1k709

• microsoft/CoML

  Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.

  Language:Python6511

• princeton-nlp/LLM-Shearing

  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

  Language:Python49139

• microsoft/Moonlit

  This is a collection of our research on efficient AI, covering hardware-aware NAS and model compression.

  Language:Python676

• getao/icae

  The repo for In-context Autoencoder

  Language:Jupyter Notebook582

• declare-lab/instruct-eval

  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.

  Language:Python49038

• THUDM/WebGLM

  WebGLM: An Efficient Web-enhanced Question Answering System (KDD 2023)

  Language:Python1.5k133

• EleutherAI/lm-evaluation-harness

  A framework for few-shot evaluation of language models.

  Language:Python5.8k1.5k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python11.9k1.1k

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python9.7k618

• HuangOwen/Awesome-LLM-Compression

  Awesome LLM compression research papers and tools.

  86149

• OpenGVLab/LLaMA-Adapter

  [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

  Language:Python5.6k365

• AGI-Edgerunners/LLM-Adapters

  Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

  Language:Python1k91

• lm-sys/FastChat

  An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

  Language:Python35.6k4.4k

• yizhongw/self-instruct

  Aligning pretrained language models with instruction data generated by themselves.

  Language:Python3.9k462

• Instruction-Tuning-with-GPT-4/GPT-4-LLM

  Instruction Tuning with GPT-4

  Language:HTML4.1k296

• tatsu-lab/stanford_alpaca

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

  Language:Python29.1k4k