TheKloakedSignal/GOBLIN
TheKloakedSignal/GOBLIN is a 32 billion parameter GLM transformer model developed by TRiADiC Intelligence Labs. Funded by TRiAD Ai, this model is specifically trained using dialogue-only supervised fine-tuning, making it highly optimized for conversational AI applications. With a context length of 32768 tokens, GOBLIN excels at generating coherent and contextually relevant responses in dialogue-based interactions.
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Overview
TheKloakedSignal/GOBLIN is a 32 billion parameter GLM transformer model developed by TRiADiC Intelligence Labs and funded by TRiAD Ai. This model is distinguished by its training methodology, which focuses exclusively on dialogue-only supervised fine-tuning. This specialized training approach aims to enhance its performance in conversational contexts, allowing it to generate more natural and relevant responses in interactive scenarios.
Key Capabilities
- Dialogue-Optimized: Trained specifically on dialogue data, making it proficient in understanding and generating conversational text.
- GLM Architecture: Utilizes a GLM transformer architecture, providing a robust foundation for language understanding and generation.
- Extended Context Window: Features a substantial context length of 32768 tokens, enabling it to maintain coherence over longer conversations and complex dialogue turns.
Good For
- Conversational AI: Ideal for chatbots, virtual assistants, and other applications requiring natural language dialogue.
- Interactive Systems: Suitable for systems where maintaining context and generating relevant responses in back-and-forth exchanges is crucial.
- Dialogue Generation: Excels at creating human-like dialogue for various purposes, from creative writing to customer service interactions.