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Zurich 14B GCv2 50k

Developed by rubenroy
A large language model fine-tuned based on Qwen 2.5 14B Instruct, trained using the Gamma Corpus v2-50k dataset
Downloads 39
Release Time : 1/29/2025

Model Overview

This model is a fine-tuned version of Alibaba's Qwen 2.5 14B Instruct, specializing in text generation and dialogue tasks, aiming to surpass other models of similar scale.

Model Features

Efficient Fine-tuning
Achieved fine-tuning in just 20 minutes on a single A100 GPU using the Unsloth framework
Multi-turn Dialogue Optimization
Trained on the Gamma Corpus v2-50k dataset, excels in handling multi-turn dialogue scenarios
Advanced Architecture
Incorporates advanced Transformer components like RoPE, SwiGLU, and RMSNorm

Model Capabilities

Text Generation
Dialogue System
Chat Functionality
Multi-turn Dialogue Processing

Use Cases

Dialogue Systems
Intelligent Customer Service
Used to build intelligent customer service systems capable of handling complex user queries
Capable of understanding context and providing coherent responses
Personal Assistant
Can serve as a personal digital assistant for daily queries and tasks
Delivers natural and smooth conversational experiences
Content Generation
Creative Writing
Assists in story creation and content generation
Capable of generating coherent and creative text
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