Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

Inference code for CodeLlama models

MTEB: Massive Text Embedding Benchmark

Faster Whisper transcription with CTranslate2

Minimalist ML framework for Rust

OpenCompass is an LLM evaluation platform, supporting a wide range of models (InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

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

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

Turn expensive prompts into cheap fine-tuned models

A CLI that writes your git commit messages for you with AI

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

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Running large language models on a single GPU for throughput-oriented scenarios.

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…

Making large AI models cheaper, faster and more accessible

Get up and running with Llama 2, Mistral, Gemma, and other large language models.

🤖 The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformer…

Machine Learning Engineering Open Book

📋 A list of open LLMs available for commercial use.

LLM Frontend for Power Users.

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

YaRN: Efficient Context Window Extension of Large Language Models

Reference implementation for DPO (Direct Preference Optimization)

Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models"