LLM EXPLORER 61,491 MODELS INDEXED

Qwen2 VL 7B Instruct AWQ by Qwen

By Qwen · 10752 downloads
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Qwen2 VL 7B Instruct AWQ is an open-source language model by Qwen. Features: 7b LLM, VRAM: 6.9GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

  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 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

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2-VL-7B-Instruct-AWQ.