What are the hardware requirements for Ezjev 4B S3?

Ezjev 4B S3 requires approximately 9.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ezjev 4B S3 and how large is it?

Ezjev 4B S3 is developed by everettjf, a model with 4b 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 Ezjev 4B S3?

Ezjev 4B S3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ezjev 4B S3 by everettjf — VRAM 9.1GB

Name: Ezjev 4B S3
Author: everettjf

Ezjev 4B S3 is an open-source language model by everettjf. Features: 4b LLM, VRAM: 9.1GB, LLM Explorer Score: 0.29.

Base model:everettjf/ezjev-4b-... Base model:finetune:everettjf/... Conversational Decision-model Endpoints compatible Image-text-to-text Jev Jevbench Qwen3 5 Region:us Safetensors Typed-decisions

Model Card on HF 🤗: https://huggingface.co/everettjf/ezjev-4b-s3

Ezjev 4B S3 Parameters and Internals

LLM Name	Ezjev 4B S3
Repository 🤗	https://huggingface.co/everettjf/ezjev-4b-s3
Base Model(s)	Ezjev 4B S2 everettjf/ezjev-4b-s2
Model Size	4b
Required VRAM	9.1 GB
Updated	2026-10-10
Maintainer	everettjf
Model Type	qwen3_5
Model Files	9.1 GB
Model Architecture	Qwen3_5ForConditionalGeneration
Model Max Length	262144
Transformers Version	5.18.0
Tokenizer Class	Qwen3_5Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Ezjev 4B S3 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 Ezjev 4B S3

Best Alternatives	Context / RAM	Downloads	Likes
AgentHorse 4B	256K / 8.4 GB	679	7
Qwen3.5 4B	0K / 9.3 GB	6575502	801
NuExtract3	0K / 0.2 GB	441570	324
FrogNano 4B 2609	0K / 9.3 GB	733	113
Agents A1 4B	0K / 9.1 GB	177578	72
Intern Decision 4B	0K / 0.1 GB	338	48
H2o Lightning 4B	0K / 9.1 GB	261	16
Tev1 4B Experimental	0K / 9.3 GB	1539	16
DeskForge Qwen3.5 4B	0K / 9.1 GB	1319	5
Qwen3.5 4B Base	0K / 9.3 GB	227814	79

Note: green Score (e.g. "73.2") means that the model is better than everettjf/ezjev-4b-s3.