What are the hardware requirements for Qwen2 VL 7B Instruct Bnb 4bit?

Qwen2 VL 7B Instruct Bnb 4bit requires approximately 5.9 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2 VL 7B Instruct Bnb 4bit and how large is it?

Qwen2 VL 7B Instruct Bnb 4bit is developed by unsloth, a model with 7b 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 Qwen2 VL 7B Instruct Bnb 4bit?

Qwen2 VL 7B Instruct Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 VL 7B Instruct Bnb 4bit by unsloth — VRAM 5.9GB, 32K context

Name: Qwen2 VL 7B Instruct Bnb 4bit
Author: unsloth

Qwen2 VL 7B Instruct Bnb 4bit is an open-source language model by unsloth. Features: 7b LLM, VRAM: 5.9GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

Arxiv:2308.12966 Arxiv:2409.12191 4-bit 4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2-vl-7b-in... Bitsandbytes Conversational Deploy:azure En Endpoints compatible Image-text-to-text Instruct Multimodal Quantized Qwen Qwen2 Qwen2 vl Region:us Safetensors Unsloth Vision

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2-VL-7B-Instruct-bnb-4bit

Qwen2 VL 7B Instruct Bnb 4bit Parameters and Internals

LLM Name	Qwen2 VL 7B Instruct Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Qwen2-VL-7B-Instruct-bnb-4bit
Base Model(s)	Qwen2 VL 7B Instruct Qwen/Qwen2-VL-7B-Instruct
Model Size	7b
Required VRAM	5.9 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	qwen2_vl
Instruction-Based	Yes
Model Files	5.9 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2VLForConditionalGeneration
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 VL 7B Instruct Bnb 4bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

Best Alternatives to Qwen2 VL 7B Instruct Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...L 7B Instruct Unsloth Bnb 4bit	32K / 6.8 GB	5860	13
OlmOCR 7B 0225 Preview 4bit	32K / 5.6 GB	22	1
...L 7B Instruct Abliterated 8bit	32K / 8.9 GB	29	1
Qwen2 VL 7B Instruct 4bit	32K / 4.7 GB	648	2
Qwen2 VL 7B Instruct 8bit	32K / 8.9 GB	36	2
OlmOCR 7B 0225 Preview	32K / 16.6 GB	18655	706
Qwen2 VL 7B Instruct	32K / 16.7 GB	33	37
OlmOCR 7B 0225 Preview FP8	32K / 10 GB	127	9
Qwen2 VL 7B Instruct AWQ	32K / 6.9 GB	10752	22
OlmOCR 7B 0225 Preview Bf16	32K / 16.6 GB	28	4

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2-VL-7B-Instruct-bnb-4bit.