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Cohere's First Model for Developers

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Re: Cohere's First Model for Developers

#11

Post by kadoban »

daemonologist wrote: post #9
SubiculumCode wrote: post #8

Earlier quoted context omitted.

Do you mean it's based on qwen 3.6 coder?

There is no "coder" version of Qwen 3.6; I think they just mean it's a coding-focused model of similar size and performance (to Qwen 3.6 35B-A3B). Regular Qwen 3.6 benchmarks slightly better and has much wider software support though, so this is probably of interest only to organizations which disallow models trained in China.

I mean, Qwen 3.6 kicks ass. I don't know who these people are, but if their first outing is "not quite as good as Qwen 3.6", that's not a bad start by any means.

30B vs 35B isn't nothing either.

If it ends up just being some tweaks to someone else's weights, then meh.

Re: Cohere's First Model for Developers

#13

Post by sipjca »

SubiculumCode wrote: post #12
moojacob wrote: post #10

I was a fan of coheres general purpose LLM. Command A I think? Before they came out with their reasoning model. More competition is better.

I always forget the VRAM requirements on these MOE things

fwiw because of the relatively few activated params offloading to system RAM is quite feasible, you can see the endless amount of people doing this on r/localllama with qwen3.6 35a3b

Re: Cohere's First Model for Developers

#16

Post by mtone »

kadoban wrote: post #11
daemonologist wrote: post #9

Earlier quoted context omitted.

There is no "coder" version of Qwen 3.6; I think they just mean it's a coding-focused model of similar size and performance (to Qwen 3.6 35B-A3B). Regular Qwen 3.6 benchmarks slightly better and has much wider software support though, so this is probably of interest only to organizations which disallow models trained in China.

I mean, Qwen 3.6 kicks ass. I don't know who these people are, but if their first outing is "not quite as good as Qwen 3.6", that's not a bad start by any means. 30B vs 35B isn't nothing either. If it ends up just being some tweaks to someone else's weights, then meh.

It was trained from scratch by Cohere. They're the only Canadian AI lab - I'm glad they're releasing open weights and I wish them luck catching up!

Re: Cohere's First Model for Developers

#17

Post by greyb »

zuzululu wrote: post #14

Wasn't aware that Cohere was still around but this release doesn't exactly instill confidence.

>Wasn't aware that Cohere was still around but this release doesn't exactly instill confidence.

It's being kept alive because the Canadian government is desperate to have a local frontier lab and is willing to inject funding and force its adoption in government services, but leadership at Cohere is known to be weak in Canadian tech circles, and they pivoting to an enterprise-first market around production RAG rather than anything close to frontier work.

I'm glad they're doing open weight releases but they're not viable in the long-run. It is embarrassing sharing similar spaces with them, but I'll try this release out in OpenCode and re-think afterwards.

Re: Cohere's First Model for Developers

#19

Post by bitwize »

sipjca wrote: post #13
SubiculumCode wrote: post #12

Earlier quoted context omitted.

I always forget the VRAM requirements on these MOE things

fwiw because of the relatively few activated params offloading to system RAM is quite feasible, you can see the endless amount of people doing this on r/localllama with qwen3.6 35a3b

I ran Gemma4 26B A4B on an 8yo PC with a fucking GTX and it did rather well.
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