DataPilot/ArrowPro-7B-KillerWhale
DataPilot/ArrowPro-7B-KillerWhale is a 7 billion parameter Mistral-based causal language model developed by DataPilot, fine-tuned for enhanced chat performance and strong prompt injection resistance. It is specifically designed to serve as the core for AI YouTubers and AI assistants, excelling in conversational applications. The model has a context length of 4096 tokens, making it suitable for interactive and robust dialogue systems.
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Overview
ArrowPro-7B-KillerWhale is a 7 billion parameter language model developed by DataPilot, built upon the Mistral-based NTQAI/chatntq-ja-7b-v1.0. Its primary development focus was to create a robust core for AI YouTubers and AI assistants.
Key Capabilities
- Enhanced Chat Performance: Optimized for natural and effective conversational interactions.
- High Prompt Injection Resistance: Designed to withstand and effectively handle prompt injection attempts, ensuring stable and secure operation.
- Japanese Language Focus: The model is specifically tuned for Japanese, as indicated by its base model and example usage.
Benchmarking
The model's performance is evaluated using a unique benchmarking method. Due to the instability of LLaMa3, scores are derived by taking the average of three benchmarks in a Gemini environment, dividing by the average of three KillerWhale benchmarks, and then multiplying by KillerWhale's score of 3.8.
Good For
- AI YouTubers: Ideal for generating engaging and consistent dialogue for virtual personalities.
- AI Assistants: Suitable for developing intelligent assistants that require strong conversational abilities and resilience against malicious inputs.