LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
llama.cpp/docs/build.md at master · ggml-org/llama.cpp
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
llama.app : website + unified `llama` binary · ggml-org llama.cpp · Discussion #23875
Overview We are launching an official website for llama.cpp: https://llama.app/ The main goal of the website is to provide a simple way for new users to install and run llama.cpp on their machines....
llama.cpp with ROCm
WarningThis is a technical guide and assumes a certain level of technical knowledge. If there are confusing parts or you run into issues, I recommend using a strong LLM with research/grounding and reasoning abilities (eg Claude Sonnet 4) to assist.…
I just rewrote llama.cpp server in Rust (most of it at least), and made it scalable
497 votes, 46 comments. Long story short, I rewrote most of the llama-server, made it scalable, and bundled that into Paddler. Initially, the project…
Victor M on Twitter / X
llama.cpp UI now has MCP support 🔥Working super well, make sure you are up to date:```brew install llama.cpp```then```llama-server --webui-mcp-proxy``` pic.twitter.com/r8JXwpbfHq— Victor M (@victormustar) March 9, 2026
Llama 4: How to Run & Fine-tune | Unsloth Documentation
How to run Llama 4 locally using our dynamic GGUFs which recovers accuracy compared to standard quantization.
mesh-llm/scripts/build-llama.sh at main · Mesh-LLM/mesh-llm
Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat. - Mesh-LLM/mesh-llm
GGML and llama.cpp join HF to ensure the long-term progress of Local AI
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A rambling post on ollama / llama.cpp and when to use each. Pros and cons and everything in between.
I'm not a professional LLMer by any means, but I figured I'd lay out my little journey and the findings along the way. When I first saw you could run…
Benjamin Marie (@bnjmnmarie)
A new alternative to Ollama: You can now run models directly through Unsloth (with Docker): https://docs.unsloth.ai/models/how-to-run-llms-with-docker It supports the same models as llama.cpp, which I guess means it runs on llama.cpp… But this way you don’t need to set up anything, if you already have Docker installed.
Karpathy's LLM Wiki: The Complete Guide to His Idea File
Karpathy's follow-up gist went viral. Complete breakdown with implementation examples.
