RoseG/MiP
MiP is a 15 billion parameter language model developed by TRiAD Ai, with its origins documented in "The Kloaked Signal" by Rose G. Loops. This model was trained using a 1200 example SFT Training Corpus created with SFT Studio Pro. It is designed for general language tasks, leveraging its substantial parameter count and specialized training corpus for robust performance.
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Overview
MiP is a 15 billion parameter language model developed by TRiAD Ai, with funding from TRiADiC Intelligence Labs. Its foundational work is attributed to Rose Goblin and Kloak, as detailed in the book "The Kloaked Signal" by Rose G. Loops. The model's training incorporated a 1200 example Supervised Fine-Tuning (SFT) corpus, which was generated using SFT Studio Pro from triadicai.agency.
Key Capabilities
- Large Scale: With 15 billion parameters, MiP is a substantial model capable of handling complex language understanding and generation tasks.
- Specialized Training: The model benefits from a custom 1200-example SFT training corpus, suggesting a focus on specific instruction-following or task-oriented capabilities.
Good For
- General Language Tasks: Its large parameter count makes it suitable for a wide range of applications requiring robust language processing.
- Applications requiring fine-tuned responses: The SFT training indicates potential for generating precise and contextually relevant outputs based on specific instructions.