<!-- SC_OFF --><div class="md"><p>Comparing the utility of Qwen3.5-Omni Plus and Flash models for real-time applications. Flash seems very snappy for voice.</p> </div><!-- SC_ON
<!-- SC_OFF --><div class="md"><p>With practically all of LocalLlama glazing Qwen 3.5/3.6 for it's coding skills. Along with the fact that Alibaba themselves are focusing on
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1sn3ikv/released_qwen3635ba3b/"> <img alt="Released Qwen3.6-35B-A3B"
<!-- SC_OFF --><div class="md"><p>I'm genuinely unsure if I'm doing something wrong, or if the model is just worse, despite the community enthusiasm. I tend to use it with pi
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wd4xxv/someone_apparently_managed_to_kind_of_replicate/"> <img alt="Someone apparently managed to kind of
<!-- SC_OFF --><div class="md"><p>They claim DS V4 flash with this J space plugin makes it match V4 pro, and that V4 pro will match fable. They claim DSv4 is very sensitive to
<!-- 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/1st0732/gemma4_vs_qwen35_and_qwen36_kebab_test/"> <img alt="Gemma4 vs Qwen3.5 and Qwen3.6 Kebab Test"
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