moazeldegwy/Qwen2.5-1.5B-reasoning-sft
TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 12, 2026Architecture:Transformer Cold
moazeldegwy/Qwen2.5-1.5B-reasoning-sft is a 1.5 billion parameter language model based on the Qwen2.5 architecture. This model is specifically fine-tuned for reasoning tasks, aiming to enhance its logical and analytical capabilities. It processes a context length of up to 32768 tokens, making it suitable for applications requiring deep understanding and generation of reasoned responses.
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Model Overview
moazeldegwy/Qwen2.5-1.5B-reasoning-sft is a 1.5 billion parameter model built upon the Qwen2.5 architecture. This model has undergone specific fine-tuning to improve its performance on reasoning tasks. With a substantial context window of 32768 tokens, it is designed to handle complex inputs and generate coherent, logically sound outputs.
Key Capabilities
- Reasoning Enhancement: Fine-tuned to excel in tasks requiring logical deduction and analytical thinking.
- Large Context Window: Supports processing up to 32768 tokens, allowing for comprehensive understanding of lengthy prompts and documents.
- Qwen2.5 Architecture: Leverages the robust and efficient base of the Qwen2.5 model family.
Good For
- Applications requiring strong logical reasoning.
- Tasks involving complex problem-solving and analytical processing.
- Scenarios where understanding and generating reasoned explanations are crucial.