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Qwen2 VL 7B Instruct AWQ by Qwen

 »  All LLMs  »  Qwen  »  Qwen2 VL 7B Instruct AWQ   URL Share it on

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  4-bit   Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen2-vl-7b-in...   En   Image-text-to-text   Instruct   Multimodal   Quantized   Qwen2 vl   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct-AWQ 

Qwen2 VL 7B Instruct AWQ Benchmarks

LLME Score: 0.22075
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 VL 7B Instruct AWQ (Qwen/Qwen2-VL-7B-Instruct-AWQ)
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Qwen2 VL 7B Instruct AWQ Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
research, commercial applications
Applications:
question answering, dialog, content creation, mobile device operation, robot operation
Primary Use Cases:
video-based question answering, multimodal analytics, language understanding in various languages
Limitations:
no audio support, updated until June 2023, limited recognition of individuals and IP, weak spatial reasoning skills
Additional Notes 
The model supports local files, base64, and URLs for input images. Limitations in spatial reasoning and complex instruction handling are noted.
Supported Languages 
en (high), zh (high), fr (medium), de (medium), es (medium), ja (medium), ko (medium), ar (medium), vi (medium)
Training Details 
Data Sources:
MathVista, DocVQA, RealWorldQA, MTVQA
Methodology:
Naive Dynamic Resolution, Multimodal Rotary Position Embedding
Model Architecture:
Multimodal architecture supporting images, video processing
Input Output 
Input Format:
text, image, video
Accepted Modalities:
text, image, video
Output Format:
text
Performance Tips:
Use flash_attention_2 for better acceleration and memory saving.
LLM NameQwen2 VL 7B Instruct AWQ
Repository 🤗https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct-AWQ 
Base Model(s)  Qwen2 VL 7B Instruct   Qwen/Qwen2-VL-7B-Instruct
Model Size7b
Required VRAM6.9 GB
Updated2024-09-25
MaintainerQwen
Model Typeqwen2_vl
Instruction-BasedYes
Model Files  4.0 GB: 1-of-2   2.9 GB: 2-of-2
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 Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Qwen2 VL 7B Instruct AWQ

Best Alternatives
Context / RAM
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Qwen2 VL 7B Instruct32K / 16.7 GB3337
Qwen2 VL 7B Instruct GPTQ Int832K / 10.2 GB580030
Qwen2 VL 7B Instruct GPTQ Int432K / 7 GB258814
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2-VL-7B-Instruct-AWQ.

Rank the Qwen2 VL 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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