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Arrowmint Gemma3 4B YUKI V0.1

Developed by DataPilot
A Japanese language model optimized for AI Virtual YouTuber (AI VTuber) conversations, developed based on Google's gemma-3-4b-it
Downloads 73
Release Time : 3/29/2025

Model Overview

A language model optimized for AI Virtual YouTuber needs, featuring multi-turn dialogue, instruction following, and lightweight characteristics, supporting Japanese and English

Model Features

AI Virtual YouTuber Optimization
Specially optimized for AI Virtual YouTuber dialogue scenarios, featuring natural multi-turn conversation capabilities
Instruction Following Capability
Strictly adheres to user instructions and role settings (prompt), generating coherent responses
Lightweight Design
Optimized model size and inference speed, suitable for real-time responses and resource-limited environments
Multi-model Fusion
Integrates multiple specialized models via mergekit tools, combining the strengths of each model

Model Capabilities

Multi-turn Dialogue
Instruction Following
Role-playing
Japanese Text Generation
English Text Generation
Image Captioning

Use Cases

Virtual YouTuber
AI VTuber Interaction
Serves as the AI core for virtual YouTubers, engaging in natural and smooth dialogue interactions with audiences
Capable of maintaining long conversation flows while adhering to character settings
Emotional Support
Emotional Comfort
Provides encouragement and support when users are feeling down
Able to recognize emotions and generate appropriate supportive responses
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