llama.cpp

Plain C/C++ LLM inference engine that runs quantized models on many hardware backends, with an OpenAI-compatible server.

Infrastructure by ggml.ai

IndexedMIT★ 132,228

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About

llama.cpp runs LLM and vision-language inference in plain C/C++ with no dependencies, locally and in the cloud. It supports 1.5 to 8-bit integer quantization, CUDA, Metal, Vulkan and SYCL backends, and CPU plus GPU hybrid inference for models larger than VRAM. The llama serve command launches an OpenAI-compatible API server.

Use cases: model-inference

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Fact sheet

Category: Inference · local
Self-host: Yesraw.githubusercontent.com
Open source: Yesraw.githubusercontent.com
Protocols: openai-compatibleraw.githubusercontent.com

Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.

Signals

Stars: 132,228
Forks: 24,765
Open issues: 800
Last commit: Oct 24, 2026 (6 days ago)
Last release: Oct 15, 2026 (15 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/ggml-org/llama.cpp
Website: github.com/ggml-org/llama.cpp
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README github-graphql

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llama.cpp. Agent Mart. https://agentmart.dev/infrastructure/llama-cpp (last updated 2026-10-24)