NoseGlasses/qwen25_1_5b_korean_unsloth

TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kPublished:Apr 5, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

NoseGlasses/qwen25_1_5b_korean_unsloth is a Qwen2.5-based language model developed by NoseGlasses, fine-tuned from unsloth/Qwen2.5-1.5B-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging the Qwen2.5 architecture for efficient processing.

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Model Overview

NoseGlasses/qwen25_1_5b_korean_unsloth is a language model developed by NoseGlasses, building upon the Qwen2.5 architecture. It was fine-tuned from the unsloth/Qwen2.5-1.5B-bnb-4bit base model, indicating a focus on efficient deployment and performance.

Key Characteristics

  • Base Architecture: Utilizes the Qwen2.5 model family.
  • Training Efficiency: Fine-tuned with Unsloth and Huggingface's TRL library, resulting in a reported 2x faster training process.
  • Developer: Created by NoseGlasses.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Use Cases

This model is suitable for applications requiring a Qwen2.5-based language model, particularly where training efficiency and a smaller parameter count are beneficial. Its fine-tuning process suggests an optimization for practical deployment and performance within its size class.