Yayi 7B is an open-source language model by wenge-research. Features: 7b LLM, VRAM: 28.2GB, LLM Explorer Score: 0.11, Arc: 46.3, HellaSwag: 61.7, MMLU: 36.3, GSM8K: 0.9.
Yayi 7B Parameters and Internals
Model Type Use Cases
Areas: Applications: Media publicity, Public opinion analysis, Public safety, Financial risk control, Urban governance
Primary Use Cases: Over a hundred natural language instruction tasks
Limitations: Factually incorrect responses, Inability to effectively identify harmful instructions, Requires improvement in logical reasoning, code generation, etc.
Considerations: Ensure responsible and safe usage in accordance with terms.
Additional Notes The model is open-sourced to foster collaboration on the development of Chinese pre-trained models.
Supported Languages Training Details
Data Sources: Media publicity data, Public opinion analysis data, Public safety data, Financial risk control data, Urban governance data
Data Volume: Millions of high-quality domain data
Methodology: Hardware Used: Single GPU such as A100/A800/3090
Model Architecture: Pre-trained transformer model architecture
Input Output
Input Format: Text with instruction prompts
Accepted Modalities: Output Format: Performance Tips: Ensure eos_token_id is correctly set for generation.
Rank the Yayi 7B capabilities
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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation
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