This is just awesomeness from @cohere, @nickfrosst, and team.

I so badly want a coding agent that just runs on my local machine.

We are not too far now!

Excited to get this to work with my @dair_ai coding agent in the next couple of days.

this model is the opposite of mythos.

Its small, cost effective, apache 2.0, and locally deployable. This is the way LLMs should go.

small, open source, transparent and sovereign vs large, expensive, proprietary and hegemonic

honoured to work with some of the best hair in the office for this model release

The Apache 2.0 + local deployment combination is exactly what healthcare AI needs right now. Clinical notes can't go to a cloud API in most production deployments. A small, efficient, locally runnable coding model changes what's actually buildable in regulated environments. Congrats on the launch @nickfrosst @cohere. The "built in public" framing resonates.

@tobi @cohere Thank you Tobi!!

@nickfrosst Tried it in opencode, very sweet. Super fast!

@nickfrosst Security, governance, policy, configurability all belong in the hands of users, not providers.

@omarsar0 @cohere @dair_ai Thanks man :)

@nickfrosst 👏👏👏

@nickfrosst This is lovely, thank you!

@nickfrosst Small, local, and auditable still wins for anything that touches sensitive code or needs reproducible behavior. The frontier models are for exploration, not the final pipeline.

@nickfrosst Agreed nick! Awesome work by you and your team congrats on the launch! Looking forward to more models from Cohere. Godspeed to you guys 💯

@nickfrosst Interesting model, but how does it stack up to the competition? In your demo video the model failed half the tool calls lol

@nickfrosst Question for you: are you planning to develop a harness for it ? Cohere Code 💪 🇨🇦 - or is that on the roadmap?

That sounds like a fun project.

@tobi @cohere Small snd mighty, one of the best models out there, Get a DGX Spark and you can compete against Google in your basement!

The🍌🐀has spoken.

@nickfrosst Looking great Nick testing it locally great tool use!

They're burning through 100M of taxpayer cash and releasing a model that doesn't outperform older models on any benchmarks. I'd be firing half my team if I were the CEO, this is an epic failure, and its taking money from hard working Canadian's pockets to deliver a model that's dead on arrival.

@nickfrosst agree with the framing but the "sovereign" part only works if someone actually runs it

still, small models have the most interesting roadmap right now

@nickfrosst you said it first tbh

question is if the open models catch up on reliability before big labs lock in the user base

@nickfrosst People will use what is most useful for them based on cost/speed/accuracy trade off. Cheap, fast, mediocre open models will always have a place in the harness.