According to the readme here - https://huggingface.co/google/gemma-3n-E4B-it-litert-preview https://huggingface.co/google/gemma-3n-E4B-it-litert-preview E4B ha

According to the readme here - https://huggingface.co/google/gemma-3n-E4B-it-litert-preview https://huggingface.co/google/gemma-3n-E4B-it-litert-preview E4B has a score of 44.4 in the Aider polyglot dashboard. Which means its on-par with gemini-2.5-flash (not the latest preview but the version used for the bench on aider's website), gpt4o and gpt4.5. Thats sounds very good - imagine what a coding focused version of this could do if this is a "generic" embedded only model. On the other hand - this does have a much lower score for livecodebench.