LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Qwen2 VL 2B Instruct AWQ by Qwen

 »  All LLMs  »  Qwen  »  Qwen2 VL 2B Instruct AWQ   URL Share it on

  2577   
  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: 0.20521
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)
🌟 Advertise your project 🚀

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
Updated2025-09-23
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

Best Alternatives to Qwen2 VL 2B Instruct AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2 VL 2B Instruct GPTQ Int432K / 2.5 GB160125
Qwen2 VL 2B Instruct GPTQ Int832K / 3.1 GB121514
Qwen2 VL 2B Instruct32K / 4.4 GB324

Rank the Qwen2 VL 2B Instruct AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 51544 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer