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Llama 3 2 11b Vision Electrical Components Instruct
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Llama 3 2 11b Vision Electrical Components Instruct

Developed by ankitelastiq
Llama 3.2 11B Vision Instruct is a multimodal model combining vision and language, supporting image-to-text tasks.
Image-to-Text EnglishOpen Source License:MIT#Electronic Component Recognition#Multimodal Instruction Understanding#Industrial Quality Inspection
Downloads 22
Release Time : 3/6/2025

Model Overview

This model is a multimodal model capable of processing image inputs and generating corresponding text outputs, suitable for tasks such as electronic component classification.

Model Features

Multimodal Capability
Supports bidirectional interaction between images and text, capable of understanding image content and generating relevant text.
Electronic Component Classification
Especially suitable for classification and recognition tasks of electronic components.
Large Model Scale
With 11 billion parameters, it possesses strong comprehension and generation capabilities.

Model Capabilities

Image-to-Text
Electronic Component Classification
Multimodal Understanding

Use Cases

Electronic Components
Electronic Component Classification
Identify and classify images of electronic components, generating corresponding component names and descriptions.
High-accuracy component recognition and classification.
Industrial Automation
Production Line Component Inspection
Detect and classify electronic components on automated production lines.
Improves production efficiency and inspection accuracy.
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