I'll give a specific example in my feedback, You said:

``` so far, so good, I was able to play with PyTorch and run Qwen3.6 on llama.cpp with a large context window ```

But there are no numbers, results or output paste. Performance, or timings.

Anyone with ram can run these models, it will just be impracticably slow. The halo strix is for a descent performance, so you sharing numbers will be valuable here.

Do you mind sharing these? Thanks!

It looks like context is set to 32k which is the bare minimum needed for OpenCode with its ~10k initial system prompt. So overall, something like Unsloth's UD q8 XL or q6 XL quants free up a lot of memory and bandwidth moving into the next tier of usefulness.