What are the hardware requirements for Qwen3 VL 4B Instruct Autoround Safetensors?

Qwen3 VL 4B Instruct Autoround Safetensors requires approximately 3.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 VL 4B Instruct Autoround Safetensors and how large is it?

Qwen3 VL 4B Instruct Autoround Safetensors is developed by simaai, 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 VL 4B Instruct Autoround Safetensors?

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

Qwen3 VL 4B Instruct Autoround Safetensors by simaai — VRAM 3.2GB

Name: Qwen3 VL 4B Instruct Autoround Safetensors
Author: simaai

Qwen3 VL 4B Instruct Autoround Safetensors is an open-source language model by simaai. Features: 4b LLM, VRAM: 3.2GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Autoround Base model:quantized:qwen/qwen... Base model:qwen/qwen3-vl-4b-in... Compressed-tensors Conversational Endpoints compatible Gptq Image-text-to-text Instruct Multilingual Quantized Qwen3 vl Region:us Safetensors Sima-ai

Model Card on HF 🤗: https://huggingface.co/simaai/Qwen3-VL-4B-Instruct-Autoround-Safetensors

Qwen3 VL 4B Instruct Autoround Safetensors Parameters and Internals

LLM Name	Qwen3 VL 4B Instruct Autoround Safetensors
Repository 🤗	https://huggingface.co/simaai/Qwen3-VL-4B-Instruct-Autoround-Safetensors
Base Model(s)	Qwen3 VL 4B Instruct Qwen/Qwen3-VL-4B-Instruct
Model Size	4b
Required VRAM	3.2 GB
Updated	2026-10-22
Maintainer	simaai
Model Type	qwen3_vl
Instruction-Based	Yes
Model Files	3.2 GB
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.10.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3 VL 4B Instruct Autoround Safetensors 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 4B Instruct Autoround Safetensors

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 4B Instruct	0K / 8.9 GB	3611570	437
MinerU Popo	0K / 17.6 GB	26895	4
Qwen3 VL 4B Instruct FP8	0K / 6.1 GB	301103	65
Kayak V2	0K / 17.7 GB	31	0
Op Hrg Qwen3vl4b Instruct	0K / 9.7 GB	51	2
Docision 1.0	0K / 10.5 GB	30	1
Slayer Ocr Qwen3vl 4B Frozen	0K / 8.9 GB	39	0
RelMLLM 4B	0K / 8.9 GB	22	1
MJev Qwen3 VL 4B RLCD	0K / 9.7 GB	40	2
Loopl Vl 4B	0K / 8.9 GB	30	0

Note: green Score (e.g. "73.2") means that the model is better than simaai/Qwen3-VL-4B-Instruct-Autoround-Safetensors.