tushar310/Hippy-AAI-7B
Hippy-AAI-7B is a 7 billion parameter language model created by tushar310, formed by merging EmbeddedLLM/Mistral-7B-Merge-14-v0.1 and liminerity/M7-7b using the slerp method. This model leverages the strengths of its constituent Mistral-based models, offering a 4096-token context length. It is designed for general language tasks, benefiting from the combined capabilities of its merged components.
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Model Overview
Hippy-AAI-7B is a 7 billion parameter language model developed by tushar310. It is a product of a merge operation using mergekit, combining two distinct models: EmbeddedLLM/Mistral-7B-Merge-14-v0.1 and liminerity/M7-7b.
Merge Configuration
The model was created using the slerp (spherical linear interpolation) merge method. This technique allows for a weighted combination of the parameters from the base models, specifically targeting different layers (self-attention and MLP) with varying interpolation values to optimize performance. The base model for the merge was liminerity/M7-7b.
Key Characteristics
- Parameter Count: 7 billion parameters.
- Context Length: Supports a context window of 4096 tokens.
- Architecture: Inherits its foundational architecture from the Mistral family, given its base components.
- Precision: Utilizes
bfloat16for its numerical precision.
Potential Use Cases
This merged model is suitable for a variety of general-purpose language generation and understanding tasks, benefiting from the combined knowledge and capabilities of its source models.