What are the hardware requirements for Gemma E4b It Eval Sft?

Gemma E4b It Eval Sft requires approximately 16 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma E4b It Eval Sft and how large is it?

Gemma E4b It Eval Sft is developed by ajujohn8, 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 Gemma E4b It Eval Sft?

Gemma E4b It Eval Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma E4b It Eval Sft by ajujohn8 — VRAM 16GB

Name: Gemma E4b It Eval Sft
Author: ajujohn8

Gemma E4b It Eval Sft is an open-source language model by ajujohn8. Features: 8b LLM, VRAM: 16GB, LLM Explorer Score: 0.26.

Gemma4 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ajujohn8/gemma-e4b-it-eval-sft

Gemma E4b It Eval Sft Parameters and Internals

LLM Name	Gemma E4b It Eval Sft
Repository 🤗	https://huggingface.co/ajujohn8/gemma-e4b-it-eval-sft
Model Name	ajujohn8/gemma-e4b-it-modeltrainingCFT-SFT
Model Size	8b
Required VRAM	16 GB
Updated	2026-09-16
Maintainer	ajujohn8
Model Type	gemma4
Model Files	16.0 GB
Model Architecture	Gemma4ForConditionalGeneration
Model Max Length	131072
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Gemma E4b It Eval Sft 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

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Gemma 4 E4B It	0K / 16 GB	229908	23
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...a 4 E4B It DeepSeek V4 Distill	0K / 16 GB	54	1
Gemma 4 E4b It Bf16	0K / 16 GB	2279	6
Cpt Round4	0K / 16 GB	206	0
Gemma 4 E4B	0K / 16 GB	1546	10
Cpt Round5	0K / 16 GB	103	0
Gemma 4 E4B Luchador	0K / 16 GB	364	15

Note: green Score (e.g. "73.2") means that the model is better than ajujohn8/gemma-e4b-it-eval-sft.