d2uxd2ux/gemma-3-1b-it-Math-SFT-0421

TEXT GENERATIONConcurrency Cost:1Model Size:1BQuant:BF16Ctx Length:32kPublished:Apr 21, 2026Architecture:Transformer Cold

The d2uxd2ux/gemma-3-1b-it-Math-SFT-0421 is a 1 billion parameter instruction-tuned model based on the Gemma architecture, developed by d2uxd2ux. This model is fine-tuned for mathematical tasks, leveraging a context length of 32768 tokens. It is designed to excel in reasoning and problem-solving within mathematical domains.

Loading preview...

Model Overview

The d2uxd2ux/gemma-3-1b-it-Math-SFT-0421 is a 1 billion parameter instruction-tuned model built upon the Gemma architecture. Developed by d2uxd2ux, this model has been specifically fine-tuned for mathematical tasks, indicating an optimization for numerical reasoning and problem-solving. It supports a substantial context length of 32768 tokens, which can be beneficial for handling complex mathematical problems or extended sequences of calculations.

Key Characteristics

  • Architecture: Gemma-based, a compact yet powerful foundation.
  • Parameter Count: 1 billion parameters, offering a balance between performance and computational efficiency.
  • Context Length: 32768 tokens, enabling the processing of longer inputs and potentially more intricate mathematical problems.
  • Specialization: Instruction-tuned with a focus on mathematical tasks, suggesting enhanced capabilities in this domain.

Potential Use Cases

Given its specialization, this model is likely suitable for applications requiring:

  • Solving mathematical problems and equations.
  • Assisting with mathematical reasoning and proofs.
  • Generating mathematical explanations or tutorials.
  • Educational tools focused on mathematics.

Limitations

As indicated by the model card, specific details regarding training data, evaluation metrics, and potential biases are currently marked as "More Information Needed." Users should exercise caution and conduct thorough testing for their specific use cases, especially concerning accuracy and potential limitations in areas outside its mathematical specialization.