What are the hardware requirements for Gemma 2B Def?

Gemma 2B Def requires approximately 2.2 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 2B Def and how large is it?

Gemma 2B Def is developed by ell44ot, a model with 2b 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 2B Def?

Gemma 2B Def is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2B Def by ell44ot — VRAM 2.2GB, 8K context

Name: Gemma 2B Def
Author: ell44ot

Gemma 2B Def is an open-source language model by ell44ot. Features: 2b LLM, VRAM: 2.2GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.18.

4-bit Base model:google/gemma-2-2b-i... Base model:quantized:google/ge... Bitsandbytes Dataset:fingpt/fingpt-fiqa qa Dataset:fingpt/fingpt-headline En Gemma Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ell44ot/gemma-2b-def

Gemma 2B Def Parameters and Internals

LLM Name	Gemma 2B Def
Repository 🤗	https://huggingface.co/ell44ot/gemma-2b-def
Base Model(s)	Gemma 2 2B It google/gemma-2-2b-it
Model Size	2b
Required VRAM	2.2 GB
Updated	2026-06-28
Maintainer	ell44ot
Model Type	gemma
Model Files	2.2 GB
Supported Languages	en
Model Architecture	GemmaModel
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

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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

Best Alternatives to Gemma 2B Def

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 2B Openhermes	8K / 10 GB	6	0