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Qwen2 VL 2B Instruct AWQ by Qwen

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Qwen2 VL 2B Instruct AWQ is an open-source language model by Qwen. Features: 2b LLM, VRAM: 3GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.21.

  Arxiv:2308.12966   Arxiv:2409.12191   4-bit   Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen2-vl-2b-in...   Conversational   En   Image-text-to-text   Instruct   Multimodal   Quantized   Qwen2 vl   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct-AWQ 

Qwen2 VL 2B Instruct AWQ Benchmarks

LLME Score: 0.20686
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 VL 2B Instruct AWQ (Qwen/Qwen2-VL-2B-Instruct-AWQ)
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Qwen2 VL 2B Instruct AWQ Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
Research, Commercial applications
Applications:
Visual understanding, Video-based question answering, Dialog, Content creation
Primary Use Cases:
Operates mobile devices, Interacts with robots
Limitations:
Lack of Audio Support, Limited Capacity for Complex Instruction, Weak Spatial Reasoning Skills
Considerations:
The model's limitations mentioned above.
Supported Languages 
English (Full proficiency), Chinese (Full proficiency), European languages (Supported), Japanese (Supported), Korean (Supported), Arabic (Supported), Vietnamese (Supported)
Input Output 
Input Format:
Messages with roles and content (image, video, text)
Accepted Modalities:
image, video, text
Output Format:
Generated text output
Performance Tips:
Enable flash_attention_2 for better acceleration and memory saving.
Release Notes 
Version:
2B
Notes:
Includes multimodal capabilities and supports various visual understanding tasks.
LLM NameQwen2 VL 2B Instruct AWQ
Repository 🤗https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct-AWQ 
Base Model(s)  Qwen2 VL 2B Instruct   Qwen/Qwen2-VL-2B-Instruct
Model Size2b
Required VRAM3 GB
Updated2026-04-05
MaintainerQwen
Model Typeqwen2_vl
Instruction-BasedYes
Model Files  3.0 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureQwen2VLForConditionalGeneration
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.45.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Rank the Qwen2 VL 2B Instruct AWQ Capabilities

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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  

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