sstoica12/influence_metamath_qwen2.5_3b_none_detailed
The sstoica12/influence_metamath_qwen2.5_3b_none_detailed model is a 3.1 billion parameter language model with a 32768 token context length. This model is based on the Qwen2.5 architecture, developed by sstoica12. Specific details regarding its training, primary differentiators, and intended use cases are not provided in the available model card, indicating it may be a base or experimental version without explicit fine-tuning for a particular task.
Loading preview...
Model Overview
The sstoica12/influence_metamath_qwen2.5_3b_none_detailed is a 3.1 billion parameter language model, built upon the Qwen2.5 architecture. It features a substantial context window of 32768 tokens, allowing it to process and generate longer sequences of text. As indicated by its model card, this model is a base version with "More Information Needed" across most sections, including its specific development details, training data, intended uses, and evaluation results. This suggests it may be a foundational model or an initial release without specialized fine-tuning.
Key Characteristics
- Architecture: Qwen2.5 base model.
- Parameter Count: 3.1 billion parameters.
- Context Length: Supports up to 32768 tokens.
Good for
- Exploration: Suitable for researchers or developers looking to experiment with a Qwen2.5-based model at the 3.1B scale.
- Further Fine-tuning: Can serve as a robust base model for custom fine-tuning on specific datasets or tasks where a large context window is beneficial.
- Understanding Base Model Behavior: Useful for analyzing the inherent capabilities and limitations of the Qwen2.5 architecture before specialized instruction tuning.