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CMaylast Monday at 8:41 PM1 replyview on HN

The MoE models hold up better on old hardware, but the dense models like this post promotes are in fact better. This isn't unique to Qwen. Are the dense models better-enough to use given the performance costs? It depends on what you are doing.

If a model runs fast enough for your use case and does exactly what you need it to, then you don't need a much slower model that might be more accurate. If you do anything more complicated, the dense models become more necessary and they are much more computationally heavy by comparison.

On your hardware an Unsloth quant of Gemma 4 26BA4B QAT would likely give you better results, but because it has 4B active parameters instead of Qwen's 3B active parameters, it will probably run slower.


Replies

jboss10today at 12:11 AM

I should try gemma4 more for coding, since qwen3.6 and gemma4 came out I've focused on qwen. For earlier releases I found qwen was smarter, but gemma had more knowledge. But for coding I always want it to learn how to do the task, not just assume/halucinate.