ishikaa/influence_metamath_qwen2.5-3b_proximity_repeat_regularized_1k_scaled_e3
The ishikaa/influence_metamath_qwen2.5-3b_proximity_repeat_regularized_1k_scaled_e3 is a 3.1 billion parameter language model based on the Qwen2.5 architecture. This model is a fine-tuned variant, though specific training details and its primary differentiator are not provided in the available documentation. It is intended for general language understanding and generation tasks, with its specific optimizations currently undefined.
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Model Overview
This model, ishikaa/influence_metamath_qwen2.5-3b_proximity_repeat_regularized_1k_scaled_e3, is a 3.1 billion parameter language model built upon the Qwen2.5 architecture. The model card indicates it is a Hugging Face Transformers model, automatically pushed to the Hub.
Key Characteristics
- Model Type: Qwen2.5-based language model.
- Parameters: 3.1 billion.
- Context Length: 32768 tokens.
Current Limitations
As per the provided model card, significant details regarding its development, funding, specific language support, license, and fine-tuning origins are currently marked as "More Information Needed." Consequently, its precise capabilities, intended direct and downstream uses, biases, risks, and limitations are not yet documented. Users should be aware of these missing details when considering its application.
Usage Guidance
Without further information on its training data, evaluation metrics, or specific optimizations, general recommendations for its use are limited. Developers are advised to await more comprehensive documentation to understand its strengths, weaknesses, and appropriate applications.