What are the hardware requirements for Gemma 4 E4B It Qat W4a16 Ct?

Gemma 4 E4B It Qat W4a16 Ct requires approximately 11.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 E4B It Qat W4a16 Ct and how large is it?

Gemma 4 E4B It Qat W4a16 Ct is developed by google, a model with 8.6b 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 E4B It Qat W4a16 Ct?

Gemma 4 E4B It Qat W4a16 Ct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 E4B It Qat W4a16 Ct by google — VRAM 11.5GB

Name: Gemma 4 E4B It Qat W4a16 Ct
Author: google

Gemma 4 E4B It Qat W4a16 Ct is an open-source language model by google. Features: 8.6b LLM, VRAM: 11.5GB, License: apache-2.0, Quantized.

Arxiv:2607.02770 Any-to-any Base model:google/gemma-4-e4b-... Base model:quantized:google/ge... Compressed-tensors Endpoints compatible Gemma4 Image-text-to-text Q4 Q4 0 Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/google/gemma-4-E4B-it-qat-w4a16-ct

Gemma 4 E4B It Qat W4a16 Ct Parameters and Internals

LLM Name	Gemma 4 E4B It Qat W4a16 Ct
Repository 🤗	https://huggingface.co/google/gemma-4-E4B-it-qat-w4a16-ct
Base Model(s)	... 4 E4B It Qat Q4 0 Unquantized google/gemma-4-E4B-it-qat-q4_0-unquantized
Model Size	8.6b
Required VRAM	11.5 GB
Updated	2026-10-22
Maintainer	google
Model Type	gemma4
Model Files	11.5 GB
Quantization Type	q4\|q4_0
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Transformers Version	5.8.0.dev0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 E4B It Qat W4a16 Ct capabilities

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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 4 E4B It Qat W4a16 Ct

Best Alternatives	Context / RAM	Downloads	Likes
...emma 4 E4B It GPTQ Safetensors	0K / 10.1 GB	30	0
Arm Gemma E4b	0K / 17.2 GB	199	1

Note: green Score (e.g. "73.2") means that the model is better than google/gemma-4-E4B-it-qat-w4a16-ct.