Overview

This model, ishikaa/influence_metamath_qwen2.5-3b_confidence_repeat_regularized_1k_scaled_e3, is a 3.1 billion parameter language model built upon the Qwen2.5 architecture. It is a fine-tuned version, shared by ishikaa, but the provided model card lacks specific details regarding its development, training data, or unique characteristics.

Key Capabilities

• Language Generation: As a Qwen2.5-based model, it is inherently capable of various language generation tasks.
• Parameter Count: With 3.1 billion parameters, it offers a balance between performance and computational efficiency for certain applications.

Limitations and Recommendations

The model card explicitly states that more information is needed across various sections, including its intended uses, biases, risks, and limitations. Users are advised to be aware of these potential issues, and further recommendations cannot be provided without additional details from the developer. Specific training data, evaluation metrics, and performance benchmarks are currently unavailable.

How to Get Started

To use this model, follow the standard Hugging Face Transformers library integration. Specific code examples or detailed instructions are marked as "More Information Needed" in the original model card.