What are the hardware requirements for Evex 5?

Evex 5 requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Evex 5 and how large is it?

Evex 5 is developed by tako080614, a model with 25.8m 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 Evex 5?

Evex 5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Evex 5 by tako080614 — VRAM 0.1GB

Name: Evex 5
Author: tako080614

Evex 5 is an open-source language model by tako080614. Features: 25.8m LLM, VRAM: 0.1GB, License: cc-by-4.0, LLM Explorer Score: 0.3.

Dataset:nntsuzu/jesc Dataset:omniaicreator/japanese... Dataset:p1atdev/open2ch Discord From-scratch Ja Japanese Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/tako080614/evex-5

Evex 5 Parameters and Internals

LLM Name	Evex 5
Repository 🤗	https://huggingface.co/tako080614/evex-5
Model Size	25.8m
Required VRAM	0.1 GB
Updated	2026-08-18
Maintainer	tako080614
Model Files	0.1 GB
Supported Languages	ja
License	cc-by-4.0
Vocabulary Size	12288

Rank the Evex 5 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