Model Overview

The sstoica12/influence_metamath_qwen2.5_3b_proximity_combined_500 is a 3.1 billion parameter language model built upon the Qwen2.5 architecture. This model has been pushed to the Hugging Face Hub, indicating its availability for use within the transformers ecosystem.

Key Characteristics

• Model Type: Qwen2.5-based causal language model.
• Parameter Count: 3.1 billion parameters, offering a balance between performance and computational efficiency.
• Context Length: Supports a context window of 32768 tokens.
• Developer: Shared by sstoica12.

Current Status and Limitations

As per the provided model card, specific details regarding the model's development, funding, training data, training procedure, and evaluation results are currently marked as "More Information Needed." This includes:

• Detailed model description and architecture.
• Intended direct and downstream uses.
• Information on potential biases, risks, and limitations.
• Specifics about the training dataset and hyperparameters.
• Evaluation metrics and performance results.

Getting Started

Users can integrate this model into their projects using the Hugging Face transformers library, though specific code examples are yet to be provided in the model card.