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The quality delta is so huge that it's in a different league.

Replit's model seems to have focused on being cheap to train and run. StarCoder seems to be vastly better on quality.

If so, it’s a shame this post is getting comparatively little attention. Hopefully the quality will be enough for it to make a big splash somewhere.

Also note that StarCoder itself is open (but not replit-finetuned).

I'm assuming higher is better? How does this compare to GPT-3.5/4?

I think it's still significantly behind GPT 3.5/4, both of which can get 67% on HumanEval, and 88% with Reflexion

Keep in mind that StarCoder(Base) is just a pretrained LM. The extra stuff that makes 3.5/4 like RLHF gets built on this.

Aren't GPT-3 etc base LM and ChatGPT the instruction tuned? Or am I wrong?

code-davinci-002 is a base LM, and the other 3.5 models (text-davinci-{002,003}, gpt-3.5-turbo, and ChatGPT) use instruction tuning and/or RLHF. Source: https://platform.openai.com/docs/model-index-for-researchers