mingzhu0527

langchain

🦜🔗 Build context-aware reasoning applications

cs-video-courses

List of Computer Science courses with video lectures.

Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

FastChat

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

OpenHands

🙌 OpenHands: Code Less, Make More

stanford_alpaca

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

babyagi

alpaca-lora

Instruct-tune LLaMA on consumer hardware

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

mistral-inference

Official inference library for Mistral models

WizardLM

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

PaLM-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

DeepSeek-Coder

DeepSeek Coder: Let the Code Write Itself

Firefly

Firefly: 大模型训练工具，支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

TaskWeaver

A code-first agent framework for seamlessly planning and executing data analytics tasks.

trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

codeinterpreter-api

👾 Open source implementation of the ChatGPT Code Interpreter

Alpaca-CoT

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！

Medusa

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

the-pile

SPIN

The official implementation of Self-Play Fine-Tuning (SPIN)

gpu_poor

Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization

pyan

pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/ This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.

ml_timeline

xLAM

TACO

ToolVerifier

This repository contains the ToolSelect dataset which was used to fine-tune Llama-2 70B for tool selection.

DtACI