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Deepseek is too large for me to self host on Spark. I was actually using Deepseek as my cloud backup and it performed well but then read the T&C which doesn't give as strong data protection guarantees unlike Google and Alibaba. Kimi is again massive and cloud hosted APIs are fairly expensive compared and it also has weak T&C, so have only benched but not tested. In general I found that with OpenClaw it works better to turn Reasoning off.

I think there's possibly value to try fine tuning Qwen 3.5 on my OpenClaw turns log to see if performance improves. The one recent model I haven't tested yet is Nemotron 3 Super which I might bench soon.



As an update, turns out Antirez created a brilliant 2 bit quant of Deepseek to fit into 128Gb systems along with a custom highlight tuned server. I've been running this the last few days and if I turn off envelope on OpenClaw, the performance is brilliant. Still to try with coding harnesses. It's a bit slow compared to the other models but so good that I'm willing to put up :-) https://github.com/antirez/ds4




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