HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

gemma-4-E2B

unsloth/gemma-4-E2B

kind
original
quant
bf16 (16-bit)
family
gemma
modality
image-text-to-text
root model
google/gemma-4-E2B
provider
unsloth
license
apache-2.0
language
—
context
128K
library
—
vRAM (GB)
—
size on disk
—
downloads
4,802
likes
10
created
—
last modified
2026-04-02T16:25:17+00:00 (2026)
huggingface
https://huggingface.co/unsloth/gemma-4-E2B
tags
safetensorsgemma4unslothgemmagoogleimage-text-to-textbase_model:google/gemma-4-E2Bbase_model:finetune:google/gemma-4-E2Blicense:apache-2.0region:us

Benchmark scores (10)

benchmarkcategoryscorecontextconfevidence
AIME 2026math89.2AIME 2026 no toolsmedium| AIME 2026 no tools | 89.2% | 88.3% | 42.5% | 37.5% | 20.8% |
MATHmath85.6MATH-Visionmedium| MATH-Vision | 85.6% | 82.4% | 59.5% | 52.4% | 46.0% |
MMLU-Proknowledge85.2MMLU Promedium| MMLU Pro | 85.2% | 82.6% | 69.4% | 60.0% | 67.6% |
GPQA Diamondreasoning84.3GPQA Diamondmedium| GPQA Diamond | 84.3% | 82.3% | 58.6% | 43.4% | 42.4% |
LiveCodeBenchcoding80.0LiveCodeBench v6medium| LiveCodeBench v6 | 80.0% | 77.1% | 52.0% | 44.0% | 29.1% |
MMMUmultimodal76.9MMMU Promedium| MMMU Pro | 76.9% | 73.8% | 52.6% | 44.2% | 49.7% |
BigBenchreasoning74.4BigBench Extra Hardmedium| BigBench Extra Hard | 74.4% | 64.8% | 33.1% | 21.9% | 19.3% |
Humanity's Last Examknowledge26.5HLE with searchmedium| HLE with search | 26.5% | 17.2% | - | - | - |
Humanity's Last Examknowledge19.5HLE no toolsmedium| HLE no tools | 19.5% | 8.7% | - | - | - |
WER FLEURSspeech-asr8.0FLEURS (lower is better)medium| FLEURS (lower is better) | - | - | 0.08 | 0.09 | - |

Discussions (0)

none scraped.

Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.