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It drove me to setup Qwen 3.8 this weekend. I couldn't see the value in just giving them money for a higher tier plan instead. I've never run a local LLM model
by zymhan 24d ago
It drove me to setup Qwen 3.8 this weekend. I couldn't see the value in just giving them money for a higher tier plan instead.
I've never run a local LLM model before. Certainly won't take as long to iterate on this.
- dexterlagan 24d agoQwen 3.8 is excellent. With the right harness, it does about 95% of what Opus can do, in my case automation software development. Since 3.8 came out, I have significantly revised my expectations for a local model. Give it another year or two, and we'll be running fast and free local models for nearly everything that matters, and these costly subscriptions will be a thing of the past. I've always believed that AI should be free for everybody, like TV and radio. We're almost there.
- mrtsepelev 24d agoWhat harness would you recommend? I’ve tried Pi but the model struggled to stay on track after the compaction. I have only 48gb of ram, so can fit only 80k context max, so good compaction is must.
- Scaled 24d agoNot op, but check out open code; you can turn on K/V quantization to help with increasing context if you have not already. I think K needs to stay at least 8 but I hear V can go down to 4?
- npodbielski 23d agoI am running it on 32GB and I did not saw model loosing it context even after 4-5 compactions in pi. I am running sessions for few days sometimes. I think it looped once, but loop police extension stopped it. The only problem I have know is how pi compaction works, which is forcing full prefill which takes time and it is erroring a lot. I wrote my own compaction that should remove full prefil but it does not work. But this is the only problem with this setup and it is more problem with pi then the model. I much more prefer it to use Qwen then paid models: Claude forces me to do reauth every other day and codex models either are too costly or not capable enough.
- wccrawford 24d agoI'd also love to hear your setup? How much VRAM/RAM, I assume Qwen 3.8 27b, what harness, are you using any particular skill set?
- c16 24d agoI've a 32gb and 64gb (work) MBP. 32 works - just and sits at around 28/29gb of 32. 64 works great, so the 48gb laptop with MLX + MTP should be fine. I'm using Ollama. I initially used the Claude Code harness on 3.6 A3B, but found that tooling would break as Claude released new versions and things would go weird. I've since written my own harness which has basic operations: read, find, bash (which can write files, python etc...) & web_fetch, all within a mac container. Works amazing. You don't need anything complicated to go very far. Low hanging fruit would be Pi or OpenCode. If you really want a much better understanding of what your hardware is capable of then give writing your own a go. Additional tip: Low Power mode reduces some token speed, but stops the laptop over heating and the fans going crazy.
- abc123abc123 24d agoFree tv and radio? Where do you live? Where I live you either pay taxes for it, alternatively, it is so ad infested that it is not possible to watch it. I suspect the same will/is happening with AI. Either you will pay for it, or it will be so ad infested that it will become useless.
- ryreacher 24d agoWhat harness are you using for Qwen 3.8?