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Qwen2 VL 7B Instruct by Qwen

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Qwen2 VL 7B Instruct is an open-source language model by Qwen. Features: 7b LLM, VRAM: 16.7GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.23.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-vl-7b-in...   Conversational   En   Instruct   Multimodal   Qwen2 vl   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct 

Qwen2 VL 7B Instruct Benchmarks

MMLU Pro: 34.39
GPQA: 9.28
MUSR: 13.55
BBH: 35.88
IFEval: 45.99 vs 88 (so35)-47.7%
MATH Lvl 5: 19.86
LLME Score: 0.23189
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 (Qwen/Qwen2-VL-7B-Instruct)
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Qwen2 VL 7B Instruct Parameters and Internals

Model Type 
multimodal, text-generation
Use Cases 
Areas:
research, commercial applications
Limitations:
No audio support, Data timeliness issue post-June 2023, Limited capability in recognizing individuals/IPs, Weak in complex instructions, Object counting and spatial reasoning difficulties
Additional Notes 
Supports up to 20min video understanding, multilingual text understanding within images.
Supported Languages 
primaryLanguages (English, Chinese), additionalLanguages (Most European languages, Japanese, Korean, Arabic, Vietnamese), description (Multilingual support for text understanding in images.)
Training Details 
Data Volume:
Data updated until June 2023
Model Architecture:
Naive Dynamic Resolution and Multimodal Rotary Position Embedding (M-ROPE)
Input Output 
Input Format:
text, image, video
Accepted Modalities:
text, image, video
Output Format:
text
Performance Tips:
Set min/max pixels for optimal speed and memory usage
LLM NameQwen2 VL 7B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct 
Base Model(s)  Qwen2 VL 7B Instruct   Qwen/Qwen2-VL-7B-Instruct
Model Size7b
Required VRAM16.7 GB
Updated2024-08-30
MaintainerQwen
Model Typeqwen2_vl
Instruction-BasedYes
Model Files  3.9 GB: 1-of-5   3.9 GB: 2-of-5   3.9 GB: 3-of-5   3.9 GB: 4-of-5   1.1 GB: 5-of-5
Supported Languagesen
Model ArchitectureQwen2VLForConditionalGeneration
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2 VL 7B Instruct

Model
Likes
Downloads
VRAM
Qwen2 VL 7B Instruct AWQ22107526 GB
Qwen2 VL 7B Instruct GPTQ Int41425887 GB
Qwen2 VL 7B Instruct GPTQ Int831110110 GB

Best Alternatives to Qwen2 VL 7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2 VL 7B Instruct AWQ32K / 6.9 GB1075222
Qwen2 VL 7B Instruct GPTQ Int432K / 7 GB258814
Qwen2 VL 7B Instruct GPTQ Int832K / 10.2 GB110131

Rank the Qwen2 VL 7B Instruct 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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