What are the hardware requirements for Gemma 4 E2B Asm Init?

Gemma 4 E2B Asm Init requires approximately 10.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E2B Asm Init and how large is it?

Gemma 4 E2B Asm Init is developed by ananddey, a model with 2.7b 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 Asm Init?

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

Gemma 4 E2B Asm Init by ananddey — VRAM 10.8GB

Name: Gemma 4 E2B Asm Init
Author: ananddey

Gemma 4 E2B Asm Init is an open-source language model by ananddey. Features: 2.7b LLM, VRAM: 10.8GB, License: gemma.

As Asm beng Assamese Base model:finetune:google/gem... Base model:google/gemma-4-e2b Cpt Endpoints compatible Gemma Gemma-4 Gemma4 Image-text-to-text Pre-training Region:us Safetensors Sentencepiece

Model Card on HF 🤗: https://huggingface.co/ananddey/gemma-4-E2B-asm-init

Gemma 4 E2B Asm Init Parameters and Internals

LLM Name	Gemma 4 E2B Asm Init
Repository 🤗	https://huggingface.co/ananddey/gemma-4-E2B-asm-init
Base Model(s)	Gemma 4 E2B google/gemma-4-E2B
Model Size	2.7b
Required VRAM	10.8 GB
Updated	2026-08-23
Maintainer	ananddey
Model Type	gemma4
Model Files	10.8 GB
Supported Languages	as
Model Architecture	Gemma4ForConditionalGeneration
License	gemma
Model Max Length	131072
Transformers Version	5.13.0
Tokenizer Class	TokenizersBackend
Padding Token	<unk>

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