7 pointsby alfiedotwtf5 hours ago2 comments

roscas5 hours ago
qwen3-coder:30b
codestral:22b
codegemma:7b
codellama:34b
north-mini-code-1.0:q8_0
laguna-xs.2:latest
Currently testing those above on AMD Ryzen 5 3600x with 48GB of RAM and a nVidia 3080 with 10GB of VRAM.
Favorite model is laguna-xs.2 because it is really fast on CPU and very good.
- alfiedotwtf4 hours ago
  Oh! Looks like I’ve been sleeping on Laguna!
- alfiedotwtf4 hours ago
  If you’re able to run qwen3-coder, have you thought about 3.6 27B or 35B? Looking at benchmarks, 3.6 looks its gained a lot over qwen3-coder
cyanydeez2 hours ago
qwen 3.6 35B on 128GB strix halo.
perfect speed to not melt the brain and can extend context for well scoped projects.
need to work with dynamic context pruning to ensure full reuse in larger projects.
deer-flow seems. to work well for project scoping and high level evals. opencode for coding.