najmahal/qwen-math-cebuano-1.5b-merged
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kPublished:Mar 5, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The najmahal/qwen-math-cebuano-1.5b-merged is a 1.5 billion parameter Qwen2-based language model developed by najmahal, fine-tuned for mathematical tasks. It was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. This model is specifically adapted for mathematical problem-solving, offering a specialized tool for applications requiring numerical reasoning.
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Model Overview
The najmahal/qwen-math-cebuano-1.5b-merged is a 1.5 billion parameter language model developed by najmahal, fine-tuned from unsloth/qwen2.5-math-1.5b-instruct-bnb-4bit. This model leverages the Qwen2 architecture and is specifically optimized for mathematical reasoning tasks.
Key Characteristics
- Architecture: Based on the Qwen2.5 model family.
- Parameter Count: 1.5 billion parameters, offering a balance between performance and computational efficiency.
- Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Specialization: Primarily focused on mathematical instruction following and problem-solving.
Intended Use Cases
- Mathematical Applications: Ideal for tasks requiring numerical understanding, calculations, and mathematical reasoning.
- Educational Tools: Can be integrated into systems for teaching or assisting with math problems.
- Research: Suitable for exploring the capabilities of smaller, specialized models in mathematical domains.