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Industry Project V2
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Industry Project V2

Developed by omsh97
An instruction fine-tuned model optimized based on the Mistral architecture, suitable for zero-shot classification tasks
Large Language ModelOpen Source License:Apache-2.0#Zero-shot classification#Instruction fine-tuning#Efficient inference
Downloads 58
Release Time : 4/29/2025

Model Overview

This model is a large language model optimized for instruction fine-tuning based on the Mistral architecture, specifically tailored for zero-shot classification tasks, capable of understanding and executing natural language instructions for classification tasks.

Model Features

Zero-shot classification capability
Can perform various classification tasks without specific training
Instruction optimization
Specifically optimized for natural language instructions
Efficient inference
Higher inference efficiency based on the optimized Mistral architecture

Model Capabilities

Zero-shot classification
Natural language understanding
Instruction following

Use Cases

Text classification
Sentiment analysis
Analyze text sentiment tendencies without training
Topic classification
Classify text topics based on instructions
Content moderation
Harmful content detection
Identify inappropriate or harmful content in text
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