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Kimi K2.6: Advancing open-source coding

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Re: Kimi K2.6: Advancing open-source coding

#121
post #94

Earlier quoted context omitted.

It’s good, but it’s not quite Claude level. And their API has constant capacity issues. Price/quality is absolutely bonkers though. I loaded $40 a few weeks/months ago and I haven’t even gone through half of it.

Why use China model API from China if there are many independent providers available via Openrouter?

to support the companies that open source their models

Re: Kimi K2.6: Advancing open-source coding

#122
post #7

Earlier quoted context omitted.

With the previous generation? Yes. With 10T mythos-level models? Not even close.

The psyop continues. Mythos until it’s released is vaporware. Notice how you can try kimi 2.6. Where is the same for mythos?

At this point it seems more like the result of a psyop to presume that a new anthropic model should be considered vaporware until released.

Re: Kimi K2.6: Advancing open-source coding

#124
post #11

Earlier quoted context omitted.

While I'm skeptical of any "beats opus" claims (many were said, none turned out to be true), I still think it's insane that we can now run close-to-SotA models locally on ~100k worth of hardware, for a small team, and be 100% sure that the data stays local. Should be a no-brainer for teams that work in areas where privacy matters.

Even the smaller quantized models which can run on consumer hardware pack in an almost unfathomable amount of knowledge. I don't think I expected to be able to run a 'local Google' in my lifetime before the LLM boom.

I'm extremely curious how these models learn to pack a lossily-compressed representation of the entire Internet (more or less) into a few hundred billion parameters. like, what's the ontology?

Re: Kimi K2.6: Advancing open-source coding

#125

There is some humor in the fact that china (of all countries) is pioneering possibly the world's most important tech via open source, while we (US) are doing the exact opposite.

This is not in antithesis. My limited personal experience is that I wrote code under OSS licenses primarily because of my past communist believes and current left-wing and redistribution of wealth point of view. This is not to provide the simple equation of: communist China is not interested in money, but also is hard to believe that there is no cultural connection among those things. Single Chine persons want to win, but also they have a different POV on what the collective means, compared to US. Also there is the obvious fact that in this moment China is more interested in winning technologically in AI, more than economically, since, I believe, they more collectively realized before many others that LLMs are eventually commoditized in the current form, in the long run. One could assume that a breakthrough could give some lab a decisive advantage, but so far we assisted to a different reality: it looks like AI is not architecture-bound (like LeCun and others want us to believe, but so far they mis-interpreted LLMs at every step) but GPU bound, and the data-boundness is both a common ground for all, and surpassable via RL in many domains. So, if this is true, it is not trivial for any single lab to do so much better. And indeed as far as we observed right now folks with enough engineers, GPUs, money, can ship frontier models, and in China even labs with a lot less GPUs can still do it at a SOTA level. For me, Italian, this is also a protective layer. After Trump the US looks like a very unstable partner from which to relay in an exclusive way for a decisive technology, and given that Europe is slow to put the money in this technology to have frontier things at home, China is a huge and shiny plan B for us.

Re: Kimi K2.6: Advancing open-source coding

#126
post #36

Earlier quoted context omitted.

Maybe open source == communism

Nah, open source means those who do the work own the result. It's supercapitalism.

I dont think thats right, the models and the gpus are the means of production.

in capitalism the people with the capital get the profit, not the people who do the work. however, workers are said to benefit too through their salary, just less so

Re: Kimi K2.6: Advancing open-source coding

#127
post #94

Earlier quoted context omitted.

It’s good, but it’s not quite Claude level. And their API has constant capacity issues. Price/quality is absolutely bonkers though. I loaded $40 a few weeks/months ago and I haven’t even gone through half of it.

Why use China model API from China if there are many independent providers available via Openrouter?

Openrouter will route to china hosted models when there are US hosted providers of the same model. Is there a setting to set your preference or to blacklist providers like alibaba cloud for example?

I use OpenCode and the openrouter provider. From opencode I only select the model like kimi-2.6 and have no way of selecting which cloud hosting will receive my request.

Re: Kimi K2.6: Advancing open-source coding

#128

https://huggingface.co/moonshotai/Kimi-K2.6 Is this the same model? Unsloth quants: https://huggingface.co/unsloth/Kimi-K2.6-GGUF (work in progress, no gguf files yet, header message saying as much)

A trillion parameters is wild. That's not going to quantize to anything normal folks can run. Even at 1-bit, it's going to be bigger than what a Strix Halo or DGX Spark can run. Though I guess streaming from system RAM and disk makes it feasible to run it locally at <1 token per second, or whatever. GLM 5.1, at 754B parameters, is already beyond any reasonable self-hosting hardware (1-bit quantization is 206GB). Mayb…

A huge dual socket Epyc system used to be able to get to 1TB without difficulty. 16 dimms of 64gb each. Doable for ~$3000. With considerable memory bandwidth.

Our hope these days seems to be that maybe perhaps possibly High Bandwidth Flash works out. Instead of 4, 8, or maybe more for some highest end drives, having many many many dozens of channels of flash.

Ideally that can be very very near to the inference. PCIe 7.0 is 0.5Tb/s at 16x which is obviously nowhere remotely near enough throughout here. The difficulty is sort of that nand has been trying to be super dense, so as you scale channels you would normally tend to scale nand capacity too, and now instead of a 2tb drive you have a 200tb drive prices way beyond consumer means. Still, I think HBF is perhaps the only shot of the most important thing in computing going from mainframe back to consumer, and of course the models are going to balloon again if this dies hit, probably before consumers ever get a chance.

Re: Kimi K2.6: Advancing open-source coding

#129

There is some humor in the fact that china (of all countries) is pioneering possibly the world's most important tech via open source, while we (US) are doing the exact opposite.

I wonder if there's a strategy behind all of this on China's side. I know the CCP uses a direct hand in many affairs in China, but is there an actual coordinated effort to compete with, or sabotage the West?

Re: Kimi K2.6: Advancing open-source coding

#130
In my tests[0] it does only slightly better than Kimi K2.5.

Kimi K2.6 seems to struggle most with puzzle/domain-specific and trick-style exactness tasks, where it shows frequent instruction misses and wrong-answer failures.

It is probably a great coding model, but a bit less intelligent overall than SOTAs

[0]: https://aibenchy.com/compare/moonshotai-kimi-k2-6-medium/moo...

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