What are the hardware requirements for Qwen3 VL 8B Instruct AWQ 4bit?

Qwen3 VL 8B Instruct AWQ 4bit requires approximately 7.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 VL 8B Instruct AWQ 4bit and how large is it?

Qwen3 VL 8B Instruct AWQ 4bit is developed by cyankiwi, a model with 8b 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 VL 8B Instruct AWQ 4bit?

Qwen3 VL 8B Instruct AWQ 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 VL 8B Instruct AWQ 4bit by cyankiwi — VRAM 7.5GB

Name: Qwen3 VL 8B Instruct AWQ 4bit
Author: cyankiwi

Qwen3 VL 8B Instruct AWQ 4bit is an open-source language model by cyankiwi. Features: 8b LLM, VRAM: 7.5GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.3.

Arxiv:2308.12966 Arxiv:2409.12191 Arxiv:2502.13923 Arxiv:2505.09388 4bit Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen3-vl-8b-in... Compressed-tensors Conversational Image-text-to-text Instruct Quantized Qwen3 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cyankiwi/Qwen3-VL-8B-Instruct-AWQ-4bit

Qwen3 VL 8B Instruct AWQ 4bit Parameters and Internals

LLM Name	Qwen3 VL 8B Instruct AWQ 4bit
Repository 🤗	https://huggingface.co/cyankiwi/Qwen3-VL-8B-Instruct-AWQ-4bit
Base Model(s)	Qwen3 VL 8B Instruct Qwen/Qwen3-VL-8B-Instruct
Model Size	8b
Required VRAM	7.5 GB
Updated	2026-08-09
Maintainer	cyankiwi
Model Type	qwen3_vl
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.5 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq\|4bit
Model Architecture	Qwen3VLForConditionalGeneration
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 VL 8B Instruct AWQ 4bit 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 Qwen3 VL 8B Instruct AWQ 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...L 8B Instruct Unsloth Bnb 4bit	0K / 7.7 GB	24231	22
Qwen3 VL 8B Instruct 4bit	0K / 5.7 GB	2365	6
Qwen3 VL 8B Instruct 8bit	0K / 9.8 GB	1157	5
Qwen3 VL 8B Instruct 6bit	0K / 7.8 GB	44	2
Qwen3 VL 8B Instruct	0K / 17.5 GB	4494329	1037
Qwen3 VL 8B Instruct FP8	0K / 10.6 GB	3108604	77
... Simple Path Dense S100 Step90	0K / 17.5 GB	13	1
ZwZ 8B	0K / 17.6 GB	2586	48
Qwen3 VL 8B Instruct Bf16	0K / 17.6 GB	127	3
...en3 VL 8B Instruct Abliterated	0K / 17.5 GB	18299	195

Note: green Score (e.g. "73.2") means that the model is better than cyankiwi/Qwen3-VL-8B-Instruct-AWQ-4bit.