The olusegunola/phi-1.5-distill-v2-Proposed_MLP_L2_Beta2.0-merged model is a 1.4 billion parameter language model with a 2048 token context length. This model is a distilled version of phi-1.5, incorporating a proposed MLP L2 Beta2.0 architecture. Its specific differentiators and primary use cases are not detailed in the provided model card, which indicates that more information is needed across various sections.
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Model Overview
This model, olusegunola/phi-1.5-distill-v2-Proposed_MLP_L2_Beta2.0-merged, is a 1.4 billion parameter language model with a context length of 2048 tokens. It is noted as a distilled version of the phi-1.5 model, featuring a "Proposed MLP L2 Beta2.0" architecture. The model card indicates that significant details regarding its development, specific capabilities, training data, evaluation metrics, and intended use cases are currently marked as "More Information Needed."
Key Characteristics
- Parameter Count: 1.4 billion parameters.
- Context Length: Supports a 2048 token context window.
- Architecture: Based on a distilled phi-1.5 model, incorporating a "Proposed MLP L2 Beta2.0" modification.
Current Status and Limitations
The provided model card is largely a placeholder, with most sections awaiting detailed information. This includes specifics on its developer, funding, model type, language(s), license, and finetuning origins. Consequently, direct use cases, downstream applications, and out-of-scope uses are not yet defined. Users should be aware that comprehensive details on bias, risks, limitations, training data, hyperparameters, and evaluation results are currently unavailable. Further recommendations are pending more complete information regarding the model's characteristics and performance.