Awesome Llm

Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

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.

No description.

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

No description.

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

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

Making large AI models cheaper, faster and more accessible

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

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

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

🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.

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

Integrate cutting-edge LLM technology quickly and easily into your apps

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.

Ongoing research training transformer models at scale

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.

A framework for few-shot evaluation of language models.

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

Use ChatGPT On Wechat via wechaty

Minimal reproduction of DeepSeek R1-Zero

A blazing fast AI Gateway with integrated guardrails. Route to 1,600+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

Access large language models from the command-line

Go ahead and axolotl questions

Kimi K2 is the large language model series developed by Moonshot AI team

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)

Building a quick conversation-based search demo with Lepton AI.

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

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

Efficient Triton Kernels for LLM Training

非线智能 NoneLinear - ReLE评测：中文AI大模型能力评测（持续更新）：目前已囊括374个大模型，覆盖chatgpt、gpt-5.4、谷歌gemini-3.1-pro、Claude-4.6、文心ERNIE-X1.1、ERNIE-5.0、qwen3.6-max、qwen3.6-plus、百川、讯飞星火、商汤senseChat等商用模型， 以及step3.5-flash、kimi-k2.6、ernie4.5、MiniMax-M2.7、deepseek-v4、Qwen3.6、llama4、智谱GLM-5.1、MiMo-V2、LongCat、gemma4、mistral等开源大模型。不仅提供排行榜，也提供规模超200万的大模型缺陷库！方便广大社区研究分析、改进大模型。

LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.

A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.

A PyTorch native platform for training generative AI models

A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.

AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.

A blazing fast inference solution for text embeddings models

🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

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

No description.

AdalFlow: The library to build & auto-optimize LLM applications.

Harness LLMs with Multi-Agent Programming

Easiest and laziest way for building multi-agent LLMs applications.