I’ve been running Qwen3.8-27B and have been pretty impressed, especially for coding. I’m wondering what else people are finding worth running on this hardware. My current setup: • M3 Ultra Mac Studio with 96 GB unified memory. • llama.cpp with Metal, served through llama-swap (only one model loaded at a time) • Coding: Qwen3.8-27B, Unsloth Q8_0, with MTP speculative decoding and a configured 262,144-token context. • Chat: Qwen3-Coder-Next, Unsloth UD-Q6_K_XL, with a configured 131,072-token context. • Q8_0 KV cache for both. I haven’t been as impressed with Coder-Next for coding in my setup, so I’ve mostly been using it for chat instead. Are there newer models worth trying over these, or different quants that would make better use of the machine? I’m interested in coding with tool use as well as general chat; they don’t need to be the same model. If you’re running similar hardware, I’d love to hear the exact model, quant, backend, and context size you’re using, plus what performance you’re seeing.   submitted by   /u/FanDiscombobulated38 [link]   [comments]