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T0 S1 14B
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T0 S1 14B

Developed by TomasLaz
Qwen2.5-14B-Instruct is a 14 billion parameter instruction fine-tuned large language model based on the Qwen2.5 architecture, optimized on the s1K dataset.
Large Language Model
Transformers
#14B Parameter Instruction Fine-tuning#Chinese Task Optimization#SFT Reinforcement Learning
Downloads 47
Release Time : 3/24/2025

Model Overview

This model is an instruction-optimized large language model suitable for various text generation tasks, capable of understanding and executing complex natural language instructions.

Model Features

Instruction Fine-tuning Optimization
Specially fine-tuned on the s1K dataset, improving the ability to understand and execute instructions.
Large Parameter Scale
A 14 billion parameter model with strong language understanding and generation capabilities.
Based on Qwen2.5 Architecture
Utilizes the advanced Qwen2.5 model architecture for superior performance.

Model Capabilities

Natural Language Understanding
Instruction Execution
Text Generation
Dialogue Systems
Question Answering Systems

Use Cases

Intelligent Assistants
Virtual Customer Service
Used to build automated customer service systems to handle user inquiries.
Capable of understanding complex questions and providing accurate answers.
Content Creation
Article Generation
Automatically generates various types of text content based on instructions.
Produces fluent and coherent text.
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