What are the hardware requirements for Op Hrg Qwen3vl4b Instruct?

Op Hrg Qwen3vl4b Instruct requires approximately 9.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Op Hrg Qwen3vl4b Instruct and how large is it?

Op Hrg Qwen3vl4b Instruct is developed by ksmehrab, 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 Op Hrg Qwen3vl4b Instruct?

Op Hrg Qwen3vl4b Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Op Hrg Qwen3vl4b Instruct by ksmehrab — VRAM 9.7GB

Name: Op Hrg Qwen3vl4b Instruct
Author: ksmehrab

Op Hrg Qwen3vl4b Instruct is an open-source language model by ksmehrab. Features: 4b LLM, VRAM: 9.7GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.

Arxiv:2607.15374 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-vl-4b-in... Conversational Doi:10.57967/hf/10783 En Endpoints compatible Fine-grained-visual-grounding Grpo Image-text-to-text Instruct Instructpart Multimodal-large-language-mode... Op-hrg Part-grounding Part-level-visual-grounding Part-segmentation Partimagenet Pascalpart Qwen3-vl Qwen3 vl Reasoning-segmentation Referring-expression-comprehen... Region:us Safetensors Self-reflection Sharded Tensorflow Vision Vision-language-models Visual-grounding Visual-reasoning

Model Card on HF 🤗: https://huggingface.co/ksmehrab/op-hrg-qwen3vl4b-instruct

Op Hrg Qwen3vl4b Instruct Parameters and Internals

LLM Name	Op Hrg Qwen3vl4b Instruct
Repository 🤗	https://huggingface.co/ksmehrab/op-hrg-qwen3vl4b-instruct
Base Model(s)	Qwen3 VL 4B Instruct Qwen/Qwen3-VL-4B-Instruct
Model Size	4b
Required VRAM	9.7 GB
Updated	2026-10-09
Maintainer	ksmehrab
Model Type	qwen3_vl
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 4.7 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Op Hrg Qwen3vl4b Instruct 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 Op Hrg Qwen3vl4b Instruct

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
MJev Qwen3 VL 4B RLCD	0K / 9.7 GB	40	2
Spatial Interactor Qwen3 VL 4B	0K / 9.7 GB	82	0
...rallelTubeDecoding Qwen3 VL 4B	0K / 8.9 GB	77	2
VecLang 4B	0K / 8.9 GB	63	1
SFT 4B ScaleCUA MixedOpen	0K / 8.9 GB	33	0
SFT 4B ScaleCUA EvoCUA	0K / 8.9 GB	28	0
SpatialBlock 4B Direct	0K / 8.9 GB	44	0

Note: green Score (e.g. "73.2") means that the model is better than ksmehrab/op-hrg-qwen3vl4b-instruct.