llama.cpp
Mirrored from Hacker News — AI on Front Page for archival readability. Support the source by reading on the original site.
AI that lives on your computer. Open-source, private & always local.
Run frontier AI entirely on your machine. No API keys, no telemetry, no limits. Own your models and conversation data.
curl -LsSf https://llama.app/install.sh | sh Pair it with a local coding agent.
Run llama serve, install the pi-llama plugin and launch Pi. It will automatically discover your local model. No config, no API keys. Files stay on your machine, requests never leave it.
# 1. Serve a model
llama serve
# 2. Install the pi-llama plugin
pi install git:github.com/huggingface/pi-llama
# 3. Run Pi, everything is set
pi
Optimized for any hardware.
From your laptop to a cluster, llama.cpp runs on whatever you have. Same binary, same models, same hand-tuned kernels for every GPU and CPU.
Apple Silicon
M Ultra
RTX 5090
CPU
Jetson RTX 4090
M Pro
M Max
DGX Spark
Radeon RX
Intel Arc RTX 3090Run your first model
Qwen 3.6
Alibaba's next-gen natively multimodal reasoning models. Dense and MoE variants that rival models many times their size on coding and vision tasks.
svg]:h-5 [&>svg]:w-5">Gemma 4
Google's most capable open models, built from Gemini 3 technology. Supports multimodal reasoning, agentic workflows, and 140+ languages.
svg]:h-5 [&>svg]:w-5">GPT-OSS
OpenAI's first open-weight models since GPT-2. Built for reasoning, agentic tasks, and developer use with function calling and tool use capabilities.
svg]:h-5 [&>svg]:w-5">Gemma 3
Google's multimodal models built from Gemini technology. Supports 140+ languages, vision, and text tasks with up to 128K context for edge to cloud deployment.
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.