What are the hardware requirements for Qwen3.5 4B EU?

Qwen3.5 4B EU requires approximately 9.7 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 4B EU and how large is it?

Qwen3.5 4B EU is developed by birgermoell, 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 Qwen3.5 4B EU?

Qwen3.5 4B EU is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 4B EU by birgermoell — VRAM 9.7GB, 256K context

Name: Qwen3.5 4B EU
Author: birgermoell

Qwen3.5 4B EU is an open-source language model by birgermoell. Features: 4b LLM, VRAM: 9.7GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.24.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-4b Bg Conversational Cs Da De El En Endpoints compatible Es Et European Fi Fr Ga Hr Hu Is It Lt Lv Multilingual Nl No On-device Pl Post-training Pt Qwen3.5 Qwen3 5 text Region:us Ro Ru Safetensors Sk Sl Sr Sv Uk

Model Card on HF 🤗: https://huggingface.co/birgermoell/Qwen3.5-4B-EU

Qwen3.5 4B EU Parameters and Internals

LLM Name	Qwen3.5 4B EU
Repository 🤗	https://huggingface.co/birgermoell/Qwen3.5-4B-EU
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	9.7 GB
Updated	2026-08-05
Maintainer	birgermoell
Model Type	qwen3_5_text
Model Files	9.7 GB
Supported Languages	bg cs da de el en es et fi fr ga hr hu is it lt lv nl no pl pt ro ru sk sl sr sv uk
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.5 4B EU 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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Cisimcik 4B	256K / 8.4 GB	848	1
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Qwen 3.5 4B Auto ASVD	256K / 8.3 GB	988	1

Note: green Score (e.g. "73.2") means that the model is better than birgermoell/Qwen3.5-4B-EU.