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apollohuang1's Projects

litechain icon litechain

Build robust LLM applications with true composability 🔗

llama icon llama

Inference code for LLaMA models

llama-1 icon llama-1

User-friendly LLaMA: Train or Run the model using PyTorch. Nothing else.

llama-adapter icon llama-adapter

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

llama-adapter-1 icon llama-adapter-1

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

llama-chat icon llama-chat

Chat with Meta's LLaMA models at home made easy

llama-dl icon llama-dl

High-speed download of LLaMA, Facebook's 65B parameter GPT model

llama-lora-tuner icon llama-lora-tuner

UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.

llama-ssp icon llama-ssp

Experiments on speculative sampling with Llama models

llama2-chinese icon llama2-chinese

Llama中文社区,最好的中文Llama大模型,完全开源可商用

llama2.c icon llama2.c

Inference Llama 2 in one file of pure C

llama_index icon llama_index

LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data.

llamaflow icon llamaflow

The Typescript-first prompt engineering toolkit for working with chat based LLMs.

llava icon llava

Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.

llm icon llm

An ecosystem of Rust libraries for working with large language models

llm-1 icon llm-1

Access large language models from the command-line

llm-action icon llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

llm-adapters icon llm-adapters

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

llm-agents-papers icon llm-agents-papers

A repo lists papers about LLM role playing, memory mechanism and LLM game playing.

llm-and-law icon llm-and-law

This repository is dedicated to summarizing papers related to large-scale language models and the field of law

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