SzilviaB/Hexoteric-Trismegistus-7B
SzilviaB/Hexoteric-Trismegistus-7B is a 7 billion parameter language model created by SzilviaB using a SLERP merge of CalderaAI/Hexoteric-7B and teknium/Hermes-Trismegistus-Mistral-7B. This model combines characteristics from its base models, leveraging a V-shaped curve configuration for its merge. It is designed to integrate the strengths of both Hexoteric-7B and Hermes-Trismegistus-Mistral-7B, offering a versatile foundation for various natural language processing tasks.
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Model Overview
SzilviaB/Hexoteric-Trismegistus-7B is a 7 billion parameter language model developed by SzilviaB. This model was created through a SLERP merge using mergekit, combining two distinct pre-trained language models: CalderaAI/Hexoteric-7B and teknium/Hermes-Trismegistus-Mistral-7B.
Merge Details
The merging process utilized a specific configuration to blend the characteristics of the constituent models. The base_model for the merge was CalderaAI/Hexoteric-7B, and the dtype was set to bfloat16. A key aspect of this merge is the parameters configuration, which employs a V-shaped curve (t: [0, 0.5, 1, 0.5, 0]). This configuration suggests a strategic weighting, potentially emphasizing Hermes-Trismegistus for input and output layers, while integrating aspects of the other model in the middle layers.
Potential Use Cases
Given its merged heritage, Hexoteric-Trismegistus-7B is likely suitable for applications that benefit from the combined strengths of its parent models. Developers can explore its performance in tasks such as:
- General text generation and completion
- Instruction following, depending on the fine-tuning of the base models
- Conversational AI and chatbots
- Creative writing and content generation