Comment by organsnyder Comment by organsnyder 9 hours ago 3 replies Copy Link View on Hacker News They run fairly well for me on my 128GB Framework Desktop.
Copy Link mittermayr 7 hours ago Collapse Comment - what do you run this on if I may ask? lmstudio, ollama, lama? which cli? Reply View | 2 replies Copy Link redwood_ an hour ago Parent Next Collapse Comment - I run Qwen3-Coder-Next (Qwen3-Coder-Next-UD-Q4_K_XL) on the Framework ITX board (Max+ 395 - 128GB) custom build. Avg. eval at 200-300 t/s and output at 35-40 t/s running with llama.cpp using rocm. Prefer Claude Code for cli. Reply View | 0 replies Copy Link MrDrMcCoy 3 hours ago Parent Prev Collapse Comment - Can't speak for parent, but I've had decent luck with llama.cpp on my triple Ryzen AI Pro 9700 XTs. Reply View | 0 replies
Copy Link redwood_ an hour ago Parent Next Collapse Comment - I run Qwen3-Coder-Next (Qwen3-Coder-Next-UD-Q4_K_XL) on the Framework ITX board (Max+ 395 - 128GB) custom build. Avg. eval at 200-300 t/s and output at 35-40 t/s running with llama.cpp using rocm. Prefer Claude Code for cli. Reply View | 0 replies
Copy Link MrDrMcCoy 3 hours ago Parent Prev Collapse Comment - Can't speak for parent, but I've had decent luck with llama.cpp on my triple Ryzen AI Pro 9700 XTs. Reply View | 0 replies
what do you run this on if I may ask? lmstudio, ollama, lama? which cli?