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MIXED
52/100
UNBOUGHT SCORE
CONFIDENCE 77.7%
Mixed reads
G

Gemma 4 E2B

Open large language model for text generation and code tasks
MIXEDAI Build
Pricing
Free
Learning curve
Moderate
Time to value
Immediate
Visit WebsiteSave to Stack
BEST FORSoloSmall Team
COMMUNITY SENTIMENT
PositiveNegative
WORKS FOR

text generation tasks, code generation tasks

KEY INSIGHT

It's an open model for general text and code tasks but can be inaccurate for specific, complex queries.

DOESN'T WORK FOR

generating accurate jq queries from natural language

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FIRST-HAND READS

What people reported, in their own words. Every line links to where it was said.

  • “Gemma 4 12B is an incredibly good model for its size, particularly for vision tasks, and in the 4-bit quantization (7GB on disk) it runs on anything, even a modern tablet or phone”

    POSITIVE · performance · Hacker News · 2026-07-03

  • “Very fast though, about 2x faster than Gemma 4 e2b on my CPU”

    MIXED · performance · Hacker News · 2026-05-30

  • “could run in a browser even, mac neo Or a phone. I'm running Gemma 4 E2B in one of my apps on my 14 pro”

    MIXED · performance · Hacker News · 2026-05-29

  • “I've found Gemma 4 to be incredibly precise and consistent with tool use”

    POSITIVE · performance · Hacker News · 2026-05-13

  • “gemma scored ~8.0. 87x fewer parameters, on a cpu — the kind already in your laptop.”

    MIXED · performance · Hacker News · 2026-04-15

  • “even Gemma 4 E2B can give very useful image descriptions while at the same time taking questions as audio. It's also much faster than most of the current popular cloud based apps”

    POSITIVE · performance · Hacker News · 2026-04-15

  • “I tried Gemma 4 E2B first, but it was just too slow on 4GB of RAM.”

    NEGATIVE · performance · Hacker News · 2026-04-12

  • “my Pixel 10 Pro XL is getting ~22 tok/s on Gemma 4 E2B using the NPU, vs. 40 tok/s is what people are saying the MLX version gets on iPhone”

    NEGATIVE · performance · Hacker News · 2026-04-06

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