What are the hardware requirements for Gemma 4 E2B It Text Only 128K Pruned?

Gemma 4 E2B It Text Only 128K Pruned requires approximately 6.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E2B It Text Only 128K Pruned and how large is it?

Gemma 4 E2B It Text Only 128K Pruned is developed by Kashif786, a model with 3.3b 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 Text Only 128K Pruned?

Gemma 4 E2B It Text Only 128K Pruned 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 Text Only 128K Pruned by Kashif786 — VRAM 6.5GB, 128K context

Name: Gemma 4 E2B It Text Only 128K Pruned
Author: Kashif786

Gemma 4 E2B It Text Only 128K Pruned is an open-source language model by Kashif786. Features: 3.3b LLM, VRAM: 6.5GB, Context: 128K, LLM Explorer Score: 0.28.

Gemma4 text Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Kashif786/gemma-4-E2B-it-text-only-128k-pruned

Gemma 4 E2B It Text Only 128K Pruned Parameters and Internals

LLM Name	Gemma 4 E2B It Text Only 128K Pruned
Repository 🤗	https://huggingface.co/Kashif786/gemma-4-E2B-it-text-only-128k-pruned
Model Size	3.3b
Required VRAM	6.5 GB
Updated	2026-10-30
Maintainer	Kashif786
Model Type	gemma4_text
Model Files	6.5 GB
Model Architecture	Gemma4ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	5.20.2
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	131072

Rank the Gemma 4 E2B It Text Only 128K Pruned capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 4 E2B It Text Only 128K Pruned

Best Alternatives	Context / RAM	Downloads	Likes
Sindhi Gemma 4 E2B It 128K Sft	128K / 6.5 GB	381	1
Teutonic III V3 2x 1886	128K / 6.6 GB	6	0
Teutonic III V3 1x 466	128K / 6.6 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than Kashif786/gemma-4-E2B-it-text-only-128k-pruned.