Model Card for Opeai_HKV1_Llama-3.3-70B-Instruct

This model is a fine-tuned version of Llama-3.3-70B-Instruct, specialized for Hong Kong lifestyle queries including clothing, food, housing, and transportation (衣食住行).

Model Details

Model Description

This model is based on Meta's Llama-3.3-70B-Instruct and has been fine-tuned through supervised learning specifically for Hong Kong lifestyle-related queries. The model can provide accurate and practical local information and recommendations for Hong Kong residents and visitors.

• Developed by: Iruca.ai
• Model type: Large Language Model (LLM)
• Language(s) (NLP): Chinese (Traditional/Simplified), English
• License: Meta Llama 3.3 Community License
• Finetuned from model [optional]: meta-llama/Llama-3.3-70B-Instruct

Model Sources [optional]

Uses

Direct Use

The model is designed for direct use in answering Hong Kong lifestyle-related questions, including:

• Clothing (衣): Fashion recommendations, shopping locations, seasonal clothing advice
• Food (食): Restaurant recommendations, local cuisine information, food delivery services
• Housing (住): Rental market information, neighborhood guides, housing regulations
• Transportation (行): Public transport guidance, traffic information, transportation options

Downstream Use [optional]

The model can be integrated into:

• Hong Kong tourism applications
• Local lifestyle chatbots
• Real estate platforms
• Food delivery services
• Transportation apps

Out-of-Scope Use

• General knowledge questions outside Hong Kong context
• Medical, legal, or financial advice requiring professional expertise
• Real-time information requiring live data feeds
• Content generation for other geographical regions
• Malicious use cases or harmful content generation

Bias, Risks, and Limitations

Limitations:

• Training data may reflect temporal biases (information may become outdated)
• Potential geographic bias toward certain areas within Hong Kong
• Limited real-time information capabilities
• May not capture the most recent changes in local policies or services

Risks:

• Information accuracy may vary and should be verified for critical decisions
• Potential cultural or demographic biases in training data
• Over-reliance on the model for important lifestyle decisions

Recommendations

Users should:

• Verify important information from official sources
• Be aware that information may become outdated
• Use the model as a starting point rather than definitive source
• Cross-reference recommendations with multiple sources
• Consider personal circumstances when following advice

Training Details

Training Data

The training dataset consists of Hong Kong lifestyle-related content covering:

• Restaurant reviews and food recommendations
• Shopping guides and fashion advice
• Housing market information and neighborhood guides
• Transportation guides and travel information
• Local events and cultural activities

Model Card Authors

IRUCA.AI