Hackernews posts about Llama.cpp
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- Mistral Integration Improved in Llama.cpp (github.com)
- Llama.cpp: Add GPT-OSS (github.com)
- Tinker with LLMs in the privacy of your own home using Llama.cpp (www.theregister.com)
- How to run LLMs on PC at home using Llama.cpp (www.theregister.com)
- Guide: Running GPT-OSS with Llama.cpp (github.com)
- Vision Now Available in Llama.cpp (github.com)
- Llama.cpp guide – Running LLMs locally on any hardware, from scratch (steelph0enix.github.io)
- Heap-overflowing Llama.cpp to RCE (retr0.blog)
- Llama.cpp supports Vulkan. why doesn't Ollama? (github.com)
- Ollama violating llama.cpp license for over a year (github.com)
- Show HN: Open-source load balancer for llama.cpp (github.com)
- Llama.cpp AI Performance with the GeForce RTX 5090 Review (www.phoronix.com)
- Performance of llama.cpp on Apple Silicon A-series (github.com)
- Running Llama.cpp on AWS Instances (github.com)
- Gemma Is Added to Llama.cpp (github.com)
- LLaVA C++ server (based on llama.cpp) (github.com)
- Llama.cpp Now Part of the Nvidia RTX AI Toolkit (developer.nvidia.com)
- Grok-1 Support for Llama.cpp (github.com)
- Llama.cpp Working on Support for Llama3 (github.com)
- DeepSeek-R1 speeds up llama.cpp code by x2 (github.com)
- Llama.cpp AI Performance with the GeForce RTX 5090 (www.phoronix.com)
- llama.cpp now supports StarCoder model series (github.com)
- Llama.cpp: SOTA 2-bit quants (github.com)
- Llama.cpp AI Performance with the GeForce RTX 5090 (www.phoronix.com)