RoseG/Ghastly2.0
RoseG/Ghastly2.0 is a 14 billion parameter large language model developed by TRiADiC Intelligence Labs, built upon TheKloakedSignal/NONGHASTLY. This model is specifically optimized for reasoning tasks, leveraging a specialized Supervised Fine-Tuning (SFT) dataset from SFT SFT Studio Pro. Its primary use case is to provide enhanced logical inference and problem-solving capabilities in text generation applications.
Loading preview...
Overview
RoseG/Ghastly2.0 is a 14 billion parameter large language model (LLM) developed by TRiADiC Intelligence Labs. It is based on the TheKloakedSignal/NONGHASTLY architecture and features a context length of 32768 tokens. This model has been specifically fine-tuned using a dedicated Supervised Fine-Tuning (SFT) dataset provided by SFT SFT Studio Pro, with a strong emphasis on improving its reasoning capabilities.
Key Capabilities
- Enhanced Reasoning: Optimized for complex logical inference and problem-solving tasks.
- Large Context Window: Supports processing and generating text with a context length of up to 32768 tokens, allowing for deeper understanding and more coherent long-form content.
- Specialized Fine-tuning: Benefits from a targeted SFT dataset, which contributes to its specialized performance in reasoning.
Good For
- Applications requiring strong logical deduction and analytical processing.
- Tasks involving complex problem-solving and structured argumentation.
- Generating coherent and contextually relevant long-form text where reasoning is crucial.