neneluo

neneluo's Stars

• hanxuhu/SeqIns

  The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LAVIS

  Language:Jupyter Notebook261

• philschmid/deep-learning-pytorch-huggingface

  Language:Jupyter Notebook569133

• mandarjoshi90/triviaqa

  Code for the TriviaQA reading comprehension dataset

  Language:Python26844

• pminervini/AutoSurveyGPT

  Automatically literature survey/review with GPT! An intelligent research assistant leveraging GPT-3.5 /GPT-4 to find, analyze, and rank relevant academic papers from Google Scholar based on user-provided search queries and topics

  Language:Python2

• tatsu-lab/stanford_alpaca

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

  Language:Python29.1k4k

• yizhongw/self-instruct

  Aligning pretrained language models with instruction data generated by themselves.

  Language:Python3.9k462

• rasbt/LLMs-from-scratch

  Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook21.6k2.2k

• ShishirPatil/gorilla

  Gorilla: An API store for LLMs

  Language:Python10.7k859

• meta-llama/llama

  Inference code for Llama models

  Language:Python54.2k9.3k

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python22.9k2.4k

• vllm-project/vllm

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

  Language:Python22.3k3.1k

• lucidrains/toolformer-pytorch

  Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI

  Language:Python1.9k121

• meta-llama/llama-recipes

  Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

  Language:Jupyter Notebook10.4k1.5k

• lupantech/chameleon-llm

  Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

  Language:Jupyter Notebook1k86

• ysymyth/ReAct

  [ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

  Language:Jupyter Notebook1.7k178

• darrenburns/elia

  A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more.

  Language:Python1.6k106

• zorazrw/awesome-tool-llm

  13610

• night-chen/ToolQA

  ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.

  Language:Jupyter Notebook2186

• MMMU-Benchmark/MMMU

  This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"

  Language:Python29018

• OpenDevin/OpenDevin

  🐚 OpenDevin: Code Less, Make More

  Language:Python28.4k3.3k

• stanfordnlp/dspy

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

  Language:Python14k1.1k

• openai/grade-school-math

  Language:Python934136

• thunlp/ToolLearningPapers

  81545

• reasoning-machines/pal

  PaL: Program-Aided Language Models (ICML 2023)

  Language:Python44950

• 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

• microsoft/LoRA

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

  Language:Python9.7k618

• ctlllll/LLM-ToolMaker

  Language:Jupyter Notebook1k97

• huggingface/trl

  Train transformer language models with reinforcement learning.

  Language:Python8.7k1.1k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python14.9k1.4k

• AkariAsai/self-rag

  This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

  Language:Python1.6k140