miguelalonsojr

mistral.rs

Blazingly fast LLM inference.

llama_index

LlamaIndex is a data framework for your LLM applications

lerobot

🤗 LeRobot: End-to-end Learning for Real-World Robotics in Pytorch

learning-to-drive

A Beginners Guide to Deep RL for Autonomous Vehicles

super-json-mode

Low latency JSON generation using LLMs ⚡️

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

bagel

A bagel, with everything.

axolotl

Go ahead and axolotl questions

lilac

Curate better data for LLMs

LLamaSharp

A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.

mergekit

Tools for merging pretrained large language models.

llm_qlora

Fine-tuning LLMs using QLoRA

AutoGPTQ

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

project-424-unity

Simulation of the 424 in Unity using Vehicle Physics Pro

obstacle-tower-challenge

Starter Kit for the Unity Obstacle Tower challenge

obstacle-tower-env

Obstacle Tower Environment

obstacle-tower-source

Obstacle Tower Source Code

nle-language-wrapper

Nethack Learning Environment Wrapper for Language Interface

anyGPT

A general purpose library for training any type of GPT model.

VideoGameDialogueCorpusPublic

TinyLlama

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

spr

Stacked Pull Requests on GitHub

sample-factory

High throughput synchronous and asynchronous reinforcement learning

awesome-open-ended

Awesome Open-ended AI

LoRA

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

bitsandbytes

Accessible large language models via k-bit quantization for PyTorch.

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

nanoChatGPT

A crude RLHF layer on top of nanoGPT with Gumbel-Softmax trick

lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.