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Aria Sequential Mlp Bnb Nf4

Developed by leon-se
A BitsAndBytes NF4 quantized version based on Aria-sequential_mlp, suitable for image-to-text tasks with approximately 15.5 GB VRAM requirement.
Downloads 76
Release Time : 10/23/2024

Model Overview

This is a quantized multimodal model capable of processing both image and text inputs to generate text outputs. Specially optimized for VRAM usage, ideal for high-end GPUs like RTX 3090.

Model Features

NF4 Quantization
Utilizes BitsAndBytes NF4 quantization technology to significantly reduce VRAM requirements
Multimodal Processing
Capable of processing both image and text inputs to generate coherent text outputs
Efficient Inference
Optimized quantized model improves inference efficiency while maintaining performance

Model Capabilities

Image Understanding
Text Generation
Multimodal Dialogue

Use Cases

Image Captioning
Image Content Analysis
Analyze image content and generate descriptive text
Accurately identifies common objects and generates reasonable descriptions
Visual Question Answering
Image-based Q&A
Answer natural language questions about image content
Understands questions and provides relevant answers
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