The ishikaa/influence_metamath_qwen2.5-3b_confidence_repeat_regularized_1k_scaled model is a 3.1 billion parameter language model based on the Qwen2.5 architecture, featuring a 32768 token context length. This model is shared on Hugging Face and its specific differentiators and primary use cases are not detailed in the provided information. Further details on its training, capabilities, and intended applications are currently marked as 'More Information Needed' in its model card.
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Model Overview
This model, ishikaa/influence_metamath_qwen2.5-3b_confidence_repeat_regularized_1k_scaled, is a 3.1 billion parameter language model. It is hosted on Hugging Face and is based on the Qwen2.5 architecture, supporting a substantial context length of 32768 tokens.
Key Characteristics
- Parameter Count: 3.1 billion parameters.
- Context Length: Supports a 32768 token context window.
- Architecture: Built upon the Qwen2.5 model family.
Current Information Limitations
As per its model card, specific details regarding its development, funding, exact model type, language support, and finetuning origins are currently marked as "More Information Needed." Consequently, its unique capabilities, intended direct or downstream uses, and any known biases, risks, or limitations are not yet specified. Users should consult future updates to the model card for comprehensive insights into its performance, training methodology, and evaluation results.