What are the hardware requirements for Gemma 4 E2B It Dspark?

Gemma 4 E2B It Dspark requires approximately 0.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E2B It Dspark and how large is it?

Gemma 4 E2B It Dspark is developed by rasyosef, a model with 335.6m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Gemma 4 E2B It Dspark?

Gemma 4 E2B It Dspark is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 E2B It Dspark by rasyosef — VRAM 0.7GB

Name: Gemma 4 E2B It Dspark
Author: rasyosef

Gemma 4 E2B It Dspark is an open-source language model by rasyosef. Features: 335.6m LLM, VRAM: 0.7GB, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:finetune:google/gem... Base model:google/gemma-4-e2b-... Custom code Draft-model Dspark Endpoints compatible Region:us Safetensors Speculative-decoding Speculators Vllm

Model Card on HF 🤗: https://huggingface.co/rasyosef/gemma-4-E2B-it-dspark

Gemma 4 E2B It Dspark Parameters and Internals

LLM Name	Gemma 4 E2B It Dspark
Repository 🤗	https://huggingface.co/rasyosef/gemma-4-E2B-it-dspark
Base Model(s)	Gemma 4 E2B It google/gemma-4-E2B-it
Model Size	335.6m
Required VRAM	0.7 GB
Updated	2026-10-08
Maintainer	rasyosef
Model Files	0.7 GB
Model Architecture	DSparkDraftModel
License	apache-2.0
Transformers Version	5.16.1

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation