EscapeJeju/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
EscapeJeju/qwen25_1_5b_korean_unsloth is a 1.5 billion parameter Qwen2.5 model developed by EscapeJeju, fine-tuned for Korean language tasks. This model leverages Unsloth and Huggingface's TRL library for accelerated training, making it efficient for deployment. It is designed for applications requiring a compact yet capable Korean language model with a 32768 token context length.
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Overview
EscapeJeju/qwen25_1_5b_korean_unsloth is a 1.5 billion parameter language model based on the Qwen2.5 architecture, specifically fine-tuned for Korean language processing. Developed by EscapeJeju, this model was trained using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
Key Capabilities
- Korean Language Proficiency: Optimized for understanding and generating text in Korean.
- Efficient Training: Benefits from Unsloth's acceleration techniques, making it a resource-efficient option for fine-tuning and deployment.
- Compact Size: With 1.5 billion parameters, it offers a balance between performance and computational footprint.
- Extended Context Window: Supports a context length of 32768 tokens, allowing for processing longer texts and maintaining conversational coherence over extended interactions.
Good For
- Applications requiring a dedicated Korean language model.
- Scenarios where fast inference and reduced memory usage are critical.
- Tasks involving long-form Korean text analysis or generation due to its large context window.
- Developers looking for a Qwen2.5 base model that has undergone efficient fine-tuning.