NexaAI / gemma-3n-E2B-it-4bit-MLX

huggingface.co
Total runs: 11
24-hour runs: 0
7-day runs: -4
30-day runs: -12
Model's Last Updated: July 22 2025
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Introduction of gemma-3n-E2B-it-4bit-MLX

Model Details of gemma-3n-E2B-it-4bit-MLX

NexaAI/gemma-3n-E2B-it-4bit-MLX

Quickstart

Run them directly with nexa-sdk installed In nexa-sdk CLI:

NexaAI/gemma-3n-E2B-it-4bit-MLX
Overview

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3n models are designed for efficient execution on low-resource devices. They are capable of multimodal input, handling text, image, video, and audio input, and generating text outputs, with open weights for pre-trained and instruction-tuned variants. These models were trained with data in over 140 spoken languages.

Gemma 3n models use selective parameter activation technology to reduce resource requirements. This technique allows the models to operate at an effective size of 2B and 4B parameters, which is lower than the total number of parameters they contain. For more information on Gemma 3n's efficient parameter management technology, see the Gemma 3n page.

Inputs and outputs
  • Input:
    • Text string, such as a question, a prompt, or a document to be summarized
    • Images, normalized to 256x256, 512x512, or 768x768 resolution and encoded to 256 tokens each
    • Audio data encoded to 6.25 tokens per second from a single channel
    • Total input context of 32K tokens
  • Output:
    • Generated text in response to the input, such as an answer to a question, analysis of image content, or a summary of a document
    • Total output length up to 32K tokens, subtracting the request input tokens
Benchmark Results

These models were evaluated at full precision (float32) against a large collection of different datasets and metrics to cover different aspects of content generation. Evaluation results marked with IT are for instruction-tuned models. Evaluation results marked with PT are for pre-trained models.

Reasoning and factuality
Benchmark Metric n-shot E2B PT E4B PT
HellaSwag Accuracy 10-shot 72.2 78.6
BoolQ Accuracy 0-shot 76.4 81.6
PIQA Accuracy 0-shot 78.9 81.0
SocialIQA Accuracy 0-shot 48.8 50.0
TriviaQA Accuracy 5-shot 60.8 70.2
Natural Questions Accuracy 5-shot 15.5 20.9
ARC-c Accuracy 25-shot 51.7 61.6
ARC-e Accuracy 0-shot 75.8 81.6
WinoGrande Accuracy 5-shot 66.8 71.7
BIG-Bench Hard Accuracy few-shot 44.3 52.9
DROP Token F1 score 1-shot 53.9 60.8
Multilingual
Benchmark Metric n-shot E2B IT E4B IT
MGSM Accuracy 0-shot 53.1 60.7
WMT24++ (ChrF) Character-level F-score 0-shot 42.7 50.1
Include Accuracy 0-shot 38.6 57.2
MMLU (ProX) Accuracy 0-shot 8.1 19.9
OpenAI MMLU Accuracy 0-shot 22.3 35.6
Global-MMLU Accuracy 0-shot 55.1 60.3
ECLeKTic ECLeKTic score 0-shot 2.5 1.9
STEM and code
Benchmark Metric n-shot E2B IT E4B IT
GPQA Diamond RelaxedAccuracy/accuracy 0-shot 24.8 23.7
LiveCodeBench v5 pass@1 0-shot 18.6 25.7
Codegolf v2.2 pass@1 0-shot 11.0 16.8
AIME 2025 Accuracy 0-shot 6.7 11.6
Additional benchmarks
Benchmark Metric n-shot E2B IT E4B IT
MMLU Accuracy 0-shot 60.1 64.9
MBPP pass@1 3-shot 56.6 63.6
HumanEval pass@1 0-shot 66.5 75.0
LiveCodeBench pass@1 0-shot 13.2 13.2
HiddenMath Accuracy 0-shot 27.7 37.7
Global-MMLU-Lite Accuracy 0-shot 59.0 64.5
MMLU (Pro) Accuracy 0-shot 40.5 50.6
Reference

Original model card : google/gemma-3n-E2B-it

Runs of NexaAI gemma-3n-E2B-it-4bit-MLX on huggingface.co

11
Total runs
0
24-hour runs
-1
3-day runs
-4
7-day runs
-12
30-day runs

More Information About gemma-3n-E2B-it-4bit-MLX huggingface.co Model

More gemma-3n-E2B-it-4bit-MLX license Visit here:

https://choosealicense.com/licenses/gemma

gemma-3n-E2B-it-4bit-MLX huggingface.co

gemma-3n-E2B-it-4bit-MLX huggingface.co is an AI model on huggingface.co that provides gemma-3n-E2B-it-4bit-MLX's model effect (), which can be used instantly with this NexaAI gemma-3n-E2B-it-4bit-MLX model. huggingface.co supports a free trial of the gemma-3n-E2B-it-4bit-MLX model, and also provides paid use of the gemma-3n-E2B-it-4bit-MLX. Support call gemma-3n-E2B-it-4bit-MLX model through api, including Node.js, Python, http.

gemma-3n-E2B-it-4bit-MLX huggingface.co Url

https://huggingface.co/NexaAI/gemma-3n-E2B-it-4bit-MLX

NexaAI gemma-3n-E2B-it-4bit-MLX online free

gemma-3n-E2B-it-4bit-MLX huggingface.co is an online trial and call api platform, which integrates gemma-3n-E2B-it-4bit-MLX's modeling effects, including api services, and provides a free online trial of gemma-3n-E2B-it-4bit-MLX, you can try gemma-3n-E2B-it-4bit-MLX online for free by clicking the link below.

NexaAI gemma-3n-E2B-it-4bit-MLX online free url in huggingface.co:

https://huggingface.co/NexaAI/gemma-3n-E2B-it-4bit-MLX

gemma-3n-E2B-it-4bit-MLX install

gemma-3n-E2B-it-4bit-MLX is an open source model from GitHub that offers a free installation service, and any user can find gemma-3n-E2B-it-4bit-MLX on GitHub to install. At the same time, huggingface.co provides the effect of gemma-3n-E2B-it-4bit-MLX install, users can directly use gemma-3n-E2B-it-4bit-MLX installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

gemma-3n-E2B-it-4bit-MLX install url in huggingface.co:

https://huggingface.co/NexaAI/gemma-3n-E2B-it-4bit-MLX

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gemma-3n-E2B-it-4bit-MLX huggingface.co Url

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