converting Qwen3.8-27B-pi GGUF to MLX?

<!-- SC_OFF --><div class="md"><p>Has anyone of the mac users tested the speed difference (token gen, promt processing) between mlx quants without mtp, vs gguf quants with

<!-- SC_OFF --><div class="md"><p>I could not find good data points on what speed one could get with a single 5090 and enough DDR4 RAM. </p> <p>My system: AMD EPYC 7532 32core

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t45m77/qwen_36_27b_looping_problem/"> <img alt="qwen 3.6 27B looping problem"

<!-- SC_OFF --><div class="md"><p>Hi,</p> <p>I taught Computer Science for 30 years in a French School of Electrical Engineering, Computer Science Department.</p> <p>I recently

<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1s7rcwr/qwen35_omni_qwens_latest_generation_of_fully/"> <img alt="Qwen3.5 Omni - Qwen’s latest generation

<!-- SC_OFF --><div class="md"><p>I can't run the recently released 1-bit Bonsai-4B.gguf <a href="https://huggingface.co/prism-ml/Bonsai-4B-gguf/tree/main">model</a> in llama.cpp.

<!-- SC_OFF --><div class="md"><p>Long post, but hopefully helps somebody. Llama-cpp vulkan server running single AMD R9700. The settings below are showing great results with a

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1szrbub/qwenscope_official_sparse_autoencoders_saes_for/"> <img alt="Qwen-Scope: Official Sparse