I Ran Every Gemma 4 Model on My Home Lab. E4B Crushes E2B. Here's the Data.
The article compares the performance of four Gemma 4 models in real-world tasks. The E4B model significantly outperformed the E2B model in various tests, particularly in vision and reasoning tasks. The author concludes that E4B is the better choice for local AI applications, especially for those requiring image processing.
- ▪E4B was able to read book spines and identify titles, while E2B could not read any titles at all.
- ▪In text generation tasks, E4B was 4.6 times faster than E2B and produced more concise answers.
- ▪E4B successfully completed a full pipeline for book detection and recommendations, while E2B failed to detect any books.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3935622) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Shane Castile Posted on May 24 I Ran Every Gemma 4 Model on My Home Lab. E4B Crushes E2B. Here's the Data. #devchallenge #gemmachallenge #gemma Gemma 4 Challenge: Write about Gemma 4 Submission This is a submission for the Gemma 4 Challenge: Write About Gemma 4 Google released four Gemma 4 variants. Everyone's comparing them on synthetic benchmarks nobody actually cares about. I ran all four on my home lab hardware with real tasks. The results surprised me.
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