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+--- Thread: eval setup for local models for Kimi (/showthread.php?tid=303)
eval setup for local models for Kimi - routearch - 09-16-2026
Did a bit of testing and thought I'd post the result here.
After a few runs on Threadripper box, I ended up with decent performance, but the setup only really made sense once I adjusted around consumer GPUs.
Nothing scientific here, just practical notes from a real setup.
My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.
Re: eval setup for local models for Kimi - batchsize - 09-16-2026
What worked for me was pretty simple. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at MoE serving. Not glamorous advice, but repeatable baselines save a lot of time.
Re: eval setup for local models for Kimi - benchplease - 09-16-2026
Quote:What worked for me was pretty simple. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at MoE serving. Not glam
My first guess would be this: Before rebuilding anything, I'd test one clean baseline with DeepSeek and compare from there.
Re: eval setup for local models for Kimi - batchsize - 09-16-2026
A couple questions before I guess too hard. What model, what runtime, and roughly what context size?
Re: eval setup for local models for Kimi - nanobrook - 09-16-2026
Not sure I agree there. I've seen people blame INT4 when the real issue was much more mundane. Not saying you're wrong, just that I wouldn't lock that in as the lesson yet.
Re: eval setup for local models for Kimi - routerunner - 09-16-2026
Thanks, that helps. I don't think your conclusion is far off. The biggest change for me was simplifying the stack instead of adding one more optimization layer.
Re: eval setup for local models for Kimi - benchplease - 09-18-2026
Quote:Thanks, that helps. I don't think your conclusion is far off. The biggest change for me was simplifying the stack instead of adding one more optimizat
I'd start with the simpler stack.