What are the hardware requirements for Gemma4 Spiritual V5 Merged?

Gemma4 Spiritual V5 Merged requires approximately 10.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma4 Spiritual V5 Merged and how large is it?

Gemma4 Spiritual V5 Merged is developed by yurih, a model with 5.1b 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 Gemma4 Spiritual V5 Merged?

Gemma4 Spiritual V5 Merged is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma4 Spiritual V5 Merged by yurih — VRAM 10.3GB

Name: Gemma4 Spiritual V5 Merged
Author: yurih

Gemma4 Spiritual V5 Merged is an open-source language model by yurih. Features: 5.1b LLM, VRAM: 10.3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

4bit Base model:finetune:unsloth/ge... Base model:unsloth/gemma-4-e2b... Conversational En Endpoints compatible Gemma4 Image-text-to-text Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/yurih/gemma4-spiritual-v5-merged

Gemma4 Spiritual V5 Merged Parameters and Internals

LLM Name	Gemma4 Spiritual V5 Merged
Repository 🤗	https://huggingface.co/yurih/gemma4-spiritual-v5-merged
Base Model(s)	...emma 4 E2B It Unsloth Bnb 4bit unsloth/gemma-4-E2B-it-unsloth-bnb-4bit
Model Size	5.1b
Required VRAM	10.3 GB
Updated	2026-10-22
Maintainer	yurih
Model Type	gemma4
Model Files	1.4 GB: 1-of-5 4.7 GB: 2-of-5 1.6 GB: 3-of-5 1.6 GB: 4-of-5 1.0 GB: 5-of-5
Supported Languages	en
Quantization Type	4bit
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Transformers Version	5.5.0
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Gemma4 Spiritual V5 Merged 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 Gemma4 Spiritual V5 Merged

Best Alternatives	Context / RAM	Downloads	Likes
...emma 4 E2B It Unsloth Bnb 4bit	0K / 8.1 GB	76707	11
... 4 E2B It Qat Q4 0 Unquantized	0K / 10.2 GB	13412	32
...emma4 Utilitarianism V1 Merged	0K / 10.3 GB	46	1
Sdam Gemma4 E2B Merged Bf16	0K / 10.2 GB	424	1
... 4 E2B It Qat Q4 0 Unquantized	0K / 10.2 GB	3007	4
Dama Aibrain	0K / 10.3 GB	323	0
Jev Gemma4	0K / 10.3 GB	29	1
Dama Aibrain	0K / 10.3 GB	38	1
My Brain V1	0K / 10.3 GB	35	0
...mma 4 E2B It Qat Q4 0 W4a16 Ct	0K / 0 GB	30	0

Note: green Score (e.g. "73.2") means that the model is better than yurih/gemma4-spiritual-v5-merged.