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

Qwen3.5 4B AWQ 4bit requires approximately 4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.5 4B AWQ 4bit is developed by cyankiwi, 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 AWQ 4bit?

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

Qwen3.5 4B AWQ 4bit by cyankiwi — VRAM 4GB

Name: Qwen3.5 4B AWQ 4bit
Author: cyankiwi

Qwen3.5 4B AWQ 4bit is an open-source language model by cyankiwi. Features: 4b LLM, VRAM: 4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.35.

4bit Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-4b Compressed-tensors Conversational Endpoints compatible Image-text-to-text Quantized Qwen3 5 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cyankiwi/Qwen3.5-4B-AWQ-4bit

Qwen3.5 4B AWQ 4bit Parameters and Internals

LLM Name	Qwen3.5 4B AWQ 4bit
Repository 🤗	https://huggingface.co/cyankiwi/Qwen3.5-4B-AWQ-4bit
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	4 GB
Updated	2026-08-08
Maintainer	cyankiwi
Model Type	qwen3_5
Model Files	4.0 GB: 1-of-1
AWQ Quantization	Yes
Quantization Type	awq\|4bit
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 4B AWQ 4bit 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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