What are the hardware requirements for Qwen3.5 4B Ru Norm Link Extractor?

Qwen3.5 4B Ru Norm Link Extractor requires approximately 8.4 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 Ru Norm Link Extractor and how large is it?

Qwen3.5 4B Ru Norm Link Extractor is developed by GreenMap, 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 Ru Norm Link Extractor?

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

Qwen3.5 4B Ru Norm Link Extractor by GreenMap — VRAM 8.4GB, 256K context

Name: Qwen3.5 4B Ru Norm Link Extractor
Author: GreenMap

Qwen3.5 4B Ru Norm Link Extractor is an open-source language model by GreenMap. Features: 4b LLM, VRAM: 8.4GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.23.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-4b-bas... Compliance Fire-safety Information-extraction Json Legal Norms Qwen3 5 text Region:us Ru Russian Safetensors

Model Card on HF 🤗: https://huggingface.co/GreenMap/qwen3.5-4b-ru-norm-link-extractor

Qwen3.5 4B Ru Norm Link Extractor Parameters and Internals

LLM Name	Qwen3.5 4B Ru Norm Link Extractor
Repository 🤗	https://huggingface.co/GreenMap/qwen3.5-4b-ru-norm-link-extractor
Base Model(s)	Qwen/Qwen3.5-4B-Base Qwen/Qwen3.5-4B-Base
Model Size	4b
Required VRAM	8.4 GB
Updated	2026-05-30
Maintainer	GreenMap
Model Type	qwen3_5_text
Model Files	8.4 GB
Supported Languages	ru
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.5.4
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.5 4B Ru Norm Link Extractor capabilities

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Qwen3.5 4B Qwenputer	256K / 18.8 GB	572	97
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Decider 4B	256K / 8.4 GB	23565	17
JevK5	256K / 8.4 GB	5525	13
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JSBAI Coder 4B	256K / 8.4 GB	2795	1
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Wald 4B	256K / 8.4 GB	706	7
Cisimcik 4B	256K / 8.4 GB	848	1

Note: green Score (e.g. "73.2") means that the model is better than GreenMap/qwen3.5-4b-ru-norm-link-extractor.