Comment by nozzlegear
6 days ago
> I have been moving more and more to K2.7 Code and GLM-5.2 the last few weeks. They are often good enough for assistance, very fast, and cheap.
I've moved completely to local models that I run with my M1 Mac Studio (64gb ram) some time ago. But for the rare times when I feel the local, quantized Qwen3.6 isn't enough, I just connect to Openrouter and use something like Kimi, GLM or Deepseek for a fraction of the price of Anthropic et al.
What is your motivation? Privacy and/or data protection?
I currently don't see a world where it makes sense to run a local model that will eats up 60% of my RAM, 20-30% of my disk space while providing worse quality output than a $20/month subscription.
> What is your motivation? Privacy and/or data protection?
For me, those things are nice benefits but not the motivation. It's just a desire to own my tools and remove the magic wherever possible, and not pay a big corporation who is constantly tweaking/changing things that I might not like. It's the same reason I migrated everything I host off of Azure and onto a VPS, and why I moved from Jetbrains Rider to Neovim, and so on.
You can let a local LLM run loops all night or all weekend and it costs nothing. It works offline. There's no rate limits. Privacy. You aren't tied to the whims of the US Government banning models. You can tie it in to HomeAssistant for home automation tasks very easily.
Which quant do you use? I have a similar setup and the speed is atrocious at 4-bit.
I'm using 4-bit as well, with the MoE model. I also use the MLX versions which are optimized for Apple CPUs (from what I understand anyway, I'm just an LLM layman). According to my oMLX dashboard, I'm getting about 50 tokens per second out of this model – not blazing fast, but more than fast enough to be useful to me.
https://huggingface.co/mlx-community/Qwen3.6-35B-A3B-OptiQ-4...
This is the way
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