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A similar model from Replit was released this week: https://huggingface.co/replit/replit-code-v1-3b https://huggingface.co/replit/replit-code-v1-3b The perform
by espadrine 3y ago
A similar model from Replit was released this week: https://huggingface.co/replit/replit-code-v1-3b https://huggingface.co/replit/replit-code-v1-3b
The performance of StarCoder seems superior on HumanEval pass@1:
• replit-code-v1-3b: 21.9%
• replit-finetuned-v1-3b: 30.5%
• StarCoder: 33.6%
• StarCoder prompted: 40.8%
- enum 3y agoAlso note that StarCoder itself is open (but not replit-finetuned).
- kartayyar 3y agoThe 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.
- sillysaurusx 3y agoIf 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.
- sauwan 3y agoI'm assuming higher is better? How does this compare to GPT-3.5/4?
- qwerty3344 3y agoI think it's still significantly behind GPT 3.5/4, both of which can get 67% on HumanEval, and 88% with Reflexion
- enum 3y agoKeep in mind that StarCoder(Base) is just a pretrained LM. The extra stuff that makes 3.5/4 like RLHF gets built on this.
- manojlds 3y agoAren't GPT-3 etc base LM and ChatGPT the instruction tuned? Or am I wrong?
- dpf 3y agocode-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 https://platform.openai.com/docs/model-index-for-researchers
- qwerty3344 3y agohttps://newatlas.com/technology/gpt-4-reflexion/ https://newatlas.com/technology/gpt-4-reflexion/