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Codestral: Mistral's Code Model

mistral.ai

1–10 of 225 posts

Re: Codestral: Mistral's Code Model

#6
post #5

How does this compare to Github Copilot? It's not shown in their comparison

Knowing the training data GH has I doubt it's comparable, then again I don't have the benchmarks

After typing this I tried the live chat out and it honestly seems a lot more promising than current GH Copilot, very nice!

Re: Codestral: Mistral's Code Model

#7
post #5

How does this compare to Github Copilot? It's not shown in their comparison

Knowing the training data GH has I doubt it's comparable, then again I don't have the benchmarks

Are you saying GH has more than Codestral and therefore GH has a better model? Or that Codestral would be better because Codestral is not littered with "bad" code?

Re: Codestral: Mistral's Code Model

#8
post #5

Earlier quoted context omitted.

Knowing the training data GH has I doubt it's comparable, then again I don't have the benchmarks

Are you saying GH has more than Codestral and therefore GH has a better model? Or that Codestral would be better because Codestral is not littered with "bad" code?

Bad code is obviously very subjective, but I would wager that GH places a much higher value on feedback mechanisms like stars, issues, PRs, velocity, etc. Their ubiquity likely allows them to automatically cherry-pick less "bad code."

Re: Codestral: Mistral's Code Model

#10
This is an open weights 22B model. The download on Huggingface is 44GB.

Is there a rule-of-thumb estimate for how much RAM this would need to be used locally?

Is the RAM requirement the same for a GPU and "unified" RAM like Apple silicon?

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