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I benchmarked Gemma 4 E2B

the 2B model beat the 12B on multi-turn

Details

External ID
47756892
Source
HN
Company
—
Product
I benchmarked Gemma 4 E2B
Website domain
aiexplr.com
Launched
April 13, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.4813624678663239
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Enrichment

Theme
lightweight and on-device AI runtimes
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
benchmark results for gemma language models
Manually corrected
False

Could you build this?

Yes This is a benchmarking study and blog post running open-source Hugging Face models across 10 evaluation test suites locally on Apple Silicon. The evaluation harness and scripts are straightforward to build with AI assistance.

Discussion

1 comment analyzed.

Concerns raised: Lack of transparency on test cases used, Unclear definition of multi-turn evaluation

Competitors

Other products that read as similar to this one — 27 launches clear the similarity bar, closest 8 shown.

Attention rank: #13 of 28 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 94 days after the earliest competitor.

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