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Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model

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Re: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model

#91

I tried Kimi on a few coding problems that Claude was spinning on. It’s good. It’s huge, way too big to be a “local” model — I think you need something like 16 H200s to run it - but it has a slightly different vibe than some of the other models. I liked it. It would definitely be useful in ensemble use cases at the very least.

I tried it a couple of times in comparison to Claude. Kimi wrote much simpler and more readable code than Claude's over-engineered solutions. It missed a few minor subtle edge cases that Claude took care of though.

Re: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model

#92

Earlier quoted context omitted.

Reasonable speeds are possible with 4bit quants on 2 512GB Mac Studios (MLX TB4 Ring - see https://x.com/awnihannun/status/1943723599971443134 ) or even a single socket Epyc system with >1TB of RAM (about the same real world memory throughput as the M Ultra). So $20k-ish to play with it. For real-world speeds though yeah, you'd need serious hardware. This is more of a "deploy your own stamp" model, less a "local" mod…

I write a local LLM client, but sometimes, I hate that local models have enough knobs to turn that people can advocate they're reasonable in any scenario - in yesterday's post re: Kimi k2, multiple people spoke up that you can "just" stream the active expert weights out of 64 GB of RAM, and use the lowest GGUF quant, and then you get something that rounds to 1 token/s, and that is reasonable for use. Good on you for…

I do deepseek at 5tk/sec at home and I'm happy with it. I don't need to do agent stuff to gain from it, I was saving to eventually build out enough to run it at 10tk/sec, but with kimi k2, plan has changed and the savings continue with a goal to run it at 5 tk/sec at home.

Re: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model

#93

I tried Kimi on a few coding problems that Claude was spinning on. It’s good. It’s huge, way too big to be a “local” model — I think you need something like 16 H200s to run it - but it has a slightly different vibe than some of the other models. I liked it. It would definitely be useful in ensemble use cases at the very least.

Reasonable speeds are possible with 4bit quants on 2 512GB Mac Studios (MLX TB4 Ring - see https://x.com/awnihannun/status/1943723599971443134 ) or even a single socket Epyc system with >1TB of RAM (about the same real world memory throughput as the M Ultra). So $20k-ish to play with it. For real-world speeds though yeah, you'd need serious hardware. This is more of a "deploy your own stamp" model, less a "local" mod…

> or even a single socket Epyc system with >1TB of RAM

How many tokens/second would this likely achieve?

Re: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model

#95
post #83

This is not open source, they have a "modified MIT license" where they have other restrictions on users over a certain threshold. Our only modification part is that, if the Software (or any derivative works thereof) is used for any of your commercial products or services that have more than 100 million monthly active users, or more than 20 million US dollars (or equivalent in other currencies) in monthly revenue, you…

> This is not open source OSI purism is deleterious and has led to industry capture. Non-viral open source is simply a license for hyperscalers to take advantage. To co-opt offerings and make hundreds of millions without giving anything back. We need more "fair source" licensing to support sustainable engineering that rewards the small ICs rather than mega conglomerate corporations with multi-trillion dollar market c…

> small ICs

The majority of open source code is contributed by companies, typically very large corporations. The thought of the open source ecosystem being largely carried by lone hobbyist contributors in their spare time after work is a myth. There are such folks (heck I'm one of them) and they are appreciated and important, but their perception far exceeds their real role in the open source ecosystem.

Re: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model

#96
post #93

Earlier quoted context omitted.

Reasonable speeds are possible with 4bit quants on 2 512GB Mac Studios (MLX TB4 Ring - see https://x.com/awnihannun/status/1943723599971443134 ) or even a single socket Epyc system with >1TB of RAM (about the same real world memory throughput as the M Ultra). So $20k-ish to play with it. For real-world speeds though yeah, you'd need serious hardware. This is more of a "deploy your own stamp" model, less a "local" mod…

> or even a single socket Epyc system with >1TB of RAM How many tokens/second would this likely achieve?

[deleted]

Re: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model

#97

Earlier quoted context omitted.

I write a local LLM client, but sometimes, I hate that local models have enough knobs to turn that people can advocate they're reasonable in any scenario - in yesterday's post re: Kimi k2, multiple people spoke up that you can "just" stream the active expert weights out of 64 GB of RAM, and use the lowest GGUF quant, and then you get something that rounds to 1 token/s, and that is reasonable for use. Good on you for…

I do deepseek at 5tk/sec at home and I'm happy with it. I don't need to do agent stuff to gain from it, I was saving to eventually build out enough to run it at 10tk/sec, but with kimi k2, plan has changed and the savings continue with a goal to run it at 5 tk/sec at home.

I agree, 5 tokens per second is plenty fast for casual use.

Re: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model

#98
post #97

Earlier quoted context omitted.

I do deepseek at 5tk/sec at home and I'm happy with it. I don't need to do agent stuff to gain from it, I was saving to eventually build out enough to run it at 10tk/sec, but with kimi k2, plan has changed and the savings continue with a goal to run it at 5 tk/sec at home.

I agree, 5 tokens per second is plenty fast for casual use.

Cosign for chat, that's my bar for usable on mobile phone (and correlates well with avg. reading speed)

Re: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model

#99
post #83

This is not open source, they have a "modified MIT license" where they have other restrictions on users over a certain threshold. Our only modification part is that, if the Software (or any derivative works thereof) is used for any of your commercial products or services that have more than 100 million monthly active users, or more than 20 million US dollars (or equivalent in other currencies) in monthly revenue, you…

> This is not open source OSI purism is deleterious and has led to industry capture. Non-viral open source is simply a license for hyperscalers to take advantage. To co-opt offerings and make hundreds of millions without giving anything back. We need more "fair source" licensing to support sustainable engineering that rewards the small ICs rather than mega conglomerate corporations with multi-trillion dollar market c…

That's great, nothing wrong with giving away something for free, just don't call it open source.

Re: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model

#100
post #83

Earlier quoted context omitted.

> This is not open source OSI purism is deleterious and has led to industry capture. Non-viral open source is simply a license for hyperscalers to take advantage. To co-opt offerings and make hundreds of millions without giving anything back. We need more "fair source" licensing to support sustainable engineering that rewards the small ICs rather than mega conglomerate corporations with multi-trillion dollar market c…

> small ICs The majority of open source code is contributed by companies, typically very large corporations. The thought of the open source ecosystem being largely carried by lone hobbyist contributors in their spare time after work is a myth. There are such folks (heck I'm one of them) and they are appreciated and important, but their perception far exceeds their real role in the open source ecosystem.

I've heard people go back and fortg on this before but you seem pretty certain about it, can you share some stats so I can see also?
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