Fresh builds of llama.cpp with AMD ROCm™ 7 acceleration - lemonade-sdk/llamacpp-rocm
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.…
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.cpp/tools/server at master · ggml-org/llama.cpp
LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
Exploring LLMs with MLX and the Neural Accelerators in the M5 GPU
Mac with Apple silicon is increasingly popular among AI developers and researchers interested in using their Mac to experiment with the…
Benchmarks | EXO
Transparent benchmarks for LLMs tested on real hardware. Coming soon.
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…
club-3090/docs/MULTI_CARD.md at master · noonghunna/club-3090
Community recipes for serving LLMs on RTX 3090/4090/5090 CUDA gpus. Multi-engine (vLLM, llama.cpp, ik_llama) and model-agnostic. Currently shipping Qwen3.6-27B Qwen3.6 35B Gemma 4 26B Gemma 4 31B c...
noonghunna/club-3090
Community recipes for serving LLMs on RTX 3090/4090/5090 CUDA gpus. Multi-engine (vLLM, llama.cpp, ik_llama) and model-agnostic. Currently shipping Qwen3.6-27B Qwen3.6 35B Gemma 4 26B Gemma 4 31B configs for 1× and 2× cards.
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....
ModelScope on Twitter / X
🤯 400 Token/S on a MacBook? Yes, you read that right!Shaohong Chen just fine-tuned the Qwen3-0.6B LLM in under 2 minutes using Apple's MLX framework. This is how you turn your MacBook into a serious LLM development rig. A step-by-step guide and performance metrics inside! 🧵… pic.twitter.com/31Cmycy8Mh— ModelScope (@ModelScope2022) October 13, 2025
Jun Kim on Twitter / X
oMLX 0.6.3rc2 is out, and the experimental GPU + ANE + CPU path I mentioned yesterday is now part of it. If you are curious and would like to help test it with us, you can join here: https://t.co/yXYUKqvmHZOn my M3 Ultra, using Qwen3.8-27B-oQ4e-mtp and its FP16-dtype clone at… pic.twitter.com/UAIlu8r4ZA— Jun Kim (@jundotkim) August 20, 2026
