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The official doc says, Luna = Previous Nano models, kind of. Is it really good at coding?
by hattimaTim 2mo ago
The official doc says, Luna = Previous Nano models, kind of. Is it really good at coding?
- PhilippGille 2mo agoDepends on the reasoning effort, see https://deepswe.datacurve.ai https://deepswe.datacurve.ai (add Luna via model selection drop down, if it's not shown by default)
- hattimaTim 2mo agoThanks for the link!
- paxys 2mo agoSmaller models are great if you are doing targeted changes in existing codebases. Don’t expect to use it for creating complex architecture from scratch or do major refactors. The larger the context, the greater the drop off will be.
- dannyw 2mo agoSmaller models are also excellent executors/operators. When given a solid plan, including e.g. what files/functions to change and how, what to test, even a recent 27-30B open weight model will usually do an excellent job.
- quirino 2mo agoAccording to the link I mentioned above it's roughly as good as GPT-5.4. Haven't tried it in practice yet. I bet it must be better in some contexts and worse in others.