Awesome Llm

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

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

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.

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

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

SGLang is a high-performance serving framework for large language models and multimodal models.

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

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

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Minimal reproduction of DeepSeek R1-Zero

Access large language models from the command-line

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Fast, flexible LLM inference

Efficient Triton Kernels for LLM Training

A PyTorch native platform for training generative AI models

A blazing fast inference solution for text embeddings models

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

Harness LLMs with Multi-Agent Programming

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).

[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

Minimalistic large language model 3D-parallelism training

Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends

A simple, performant, and scalable Jax LLM!

OpenAGI: When LLM Meets Domain Experts

Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.