Questionable-MN-bf16 Overview
Questionable-MN-bf16 is a 12 billion parameter language model developed by rAIfle, built upon the Nemo-Base architecture. This model represents an effort to enhance performance, particularly in conversational and roleplay scenarios. It was developed through a multi-step fine-tuning process.
Key Capabilities
- Nemo-Base Foundation: Utilizes the Nemo-Base architecture as its starting point.
- Diverse Training Data: Fine-tuned with a combination of 'bigdata-pw/the-x-files', a private dataset focused on roleplay, and 'c2' data, suggesting a broad range of conversational and narrative abilities.
- ChatML Format: Designed to work with the ChatML format, indicating its suitability for structured chat interactions.
Good For
- Roleplay Applications: Explicitly includes private roleplay data in its training, making it well-suited for generating engaging and consistent roleplay scenarios.
- Conversational AI: Its fine-tuning process and ChatML compatibility suggest strong performance in general conversational tasks.
- Exploratory Use: The model is presented as a robust option for users familiar with Nemo sampler settings, offering a solid base for various text generation tasks.