Repository Index

LLM inference in C/C++

• ggml

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

• gpt
• llm
• pytorch
• model-serving

Never stop coding. Free MIT AI gateway: one endpoint, 375 providers (150+ free), 1,400+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 900+ contributors

• a2a
• ai-agents
• ai-gateway
• anthropic

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

• llm-inference
• ai-chat

Inference code for Llama models

Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server.

• ai
• ai-tools
• on-premise

AirLLM 2.8T LLM inference with single 4GB GPU

• chinese-nlp
• finetune
• generative-ai
• instruct-gpt

Official inference framework for 1-bit LLMs

Qwen3.8-Flash-Next on any consumer hardware: one-click install for Windows / Linux. Strata inference engine, OpenAI/Anthropic API on localhost, optional image input.

TranslatedLangchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

• chatglm
• langchain
• llm
• knowledge-base

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

• cuda
• inference
• llama
• llm

Distribute and run LLMs with a single file.

• cross-platform
• gguf
• llama-cpp
• local-ai

DeepInfer: High-performance, large-scale inference framework for DeepSeek models

DeepSeek 4 Flash and PRO local inference engine for Metal, CUDA and ROCm

LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar

• apple-silicon
• inference-server
• llm
• macos

Inference Llama 2 in one file of pure C

A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations

Nano vLLM

• inference
• llm
• pytorch
• transformer

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.

• blackwell
• cuda
• moe
• pytorch

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

• ai
• artificial-intelligence
• deep-learning
• large-language-models

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

• llm
• llmops
• model-inference
• fine-tuning

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

• bloom
• deep-learning
• distributed-systems
• language-models

A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.

• avx2
• c99
• cpu-inference
• deep-learning

TranslatedOpen-source manuscript of 《深入理解 AI Infra：量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments

• accelerator
• ai-infra
• ai-infrastructure
• book