What are the hardware requirements for Qwen2 VL 2B Instruct Unsloth Bnb 4bit?

Qwen2 VL 2B Instruct Unsloth Bnb 4bit requires approximately 2.5 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 2B Instruct Unsloth Bnb 4bit and how large is it?

Qwen2 VL 2B Instruct Unsloth Bnb 4bit is developed by unsloth, a model with 2b 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 2B Instruct Unsloth Bnb 4bit?

Qwen2 VL 2B Instruct Unsloth 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 2B Instruct Unsloth Bnb 4bit by unsloth — VRAM 2.5GB, 32K context

Name: Qwen2 VL 2B Instruct Unsloth Bnb 4bit
Author: unsloth

Qwen2 VL 2B Instruct Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 2b LLM, VRAM: 2.5GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

Arxiv:2308.12966 Arxiv:2409.12191 4-bit 4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2-vl-2b-in... Bitsandbytes Conversational 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-2B-Instruct-unsloth-bnb-4bit

Qwen2 VL 2B Instruct Unsloth Bnb 4bit Parameters and Internals

LLM Name	Qwen2 VL 2B Instruct Unsloth Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Qwen2-VL-2B-Instruct-unsloth-bnb-4bit
Base Model(s)	Qwen2 VL 2B Instruct Qwen/Qwen2-VL-2B-Instruct
Model Size	2b
Required VRAM	2.5 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	qwen2_vl
Instruction-Based	Yes
Model Files	2.5 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2VLForConditionalGeneration
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 VL 2B Instruct Unsloth Bnb 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

Quantized Models of the Qwen2 VL 2B Instruct Unsloth Bnb 4bit

Model	Likes	Downloads	VRAM
...ari OCR 0.2.2.1 VL 2B Instruct	24	1546	0 GB

Best Alternatives to Qwen2 VL 2B Instruct Unsloth Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2 VL 2B Instruct 4bit	32K / 1.2 GB	3899	7
Qwen2 VL 2B Instruct Bnb 4bit	32K / 1.5 GB	1605	1
Qwen2 VL 2B Instruct 8bit	32K / 2.4 GB	99	2
ShowUI 2B	32K / 4.4 GB	3756	279
Qwen2 VL 2B Instruct AWQ	32K / 3 GB	3752	26
Qwen2 VL 2B Instruct	32K / 4.4 GB	925	5
Qwen2 VL 2B Instruct GPTQ Int4	32K / 2.5 GB	793	28
Qwen2 VL 2B Instruct GPTQ Int8	32K / 3.1 GB	471	17
Qwen2 VL 2B Instruct Bf16	32K / 4.4 GB	90	1
Qwen2 VL 2B Instruct	32K / 4.4 GB	3	24

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2-VL-2B-Instruct-unsloth-bnb-4bit.