What are the hardware requirements for Unsloth Gemma 4 E4B It FT Emotion?

Unsloth Gemma 4 E4B It FT Emotion requires approximately 16 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Unsloth Gemma 4 E4B It FT Emotion and how large is it?

Unsloth Gemma 4 E4B It FT Emotion is developed by Prompt48, a model with 8b 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 Unsloth Gemma 4 E4B It FT Emotion?

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

Unsloth Gemma 4 E4B It FT Emotion by Prompt48 — VRAM 16GB

Name: Unsloth Gemma 4 E4B It FT Emotion
Author: Prompt48

Unsloth Gemma 4 E4B It FT Emotion is an open-source language model by Prompt48. Features: 8b LLM, VRAM: 16GB, License: apache-2.0, LLM Explorer Score: 0.23.

Base model:finetune:unsloth/ge... Base model:unsloth/gemma-4-e4b... Conversational En Endpoints compatible Gemma4 Image-text-to-text Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/Prompt48/unsloth_gemma_4-E4B-it_FT_Emotion

Unsloth Gemma 4 E4B It FT Emotion Parameters and Internals

LLM Name	Unsloth Gemma 4 E4B It FT Emotion
Repository 🤗	https://huggingface.co/Prompt48/unsloth_gemma_4-E4B-it_FT_Emotion
Model Name	unsloth/gemma-4-E4B-it
Base Model(s)	Gemma 4 E4B It unsloth/gemma-4-E4B-it
Model Size	8b
Required VRAM	16 GB
Updated	2026-10-22
Maintainer	Prompt48
Model Type	gemma4
Model Files	16.0 GB
Supported Languages	en
Model Architecture	Gemma4ForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Unsloth Gemma 4 E4B It FT Emotion 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

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Note: green Score (e.g. "73.2") means that the model is better than Prompt48/unsloth_gemma_4-E4B-it_FT_Emotion.