daredevil467/hanoi-router-qwen25-05b-v6
TEXT GENERATIONConcurrency Cost:1Model Size:0.5BQuant:BF16Ctx Length:32kPublished:Apr 15, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The daredevil467/hanoi-router-qwen25-05b-v6 is a 0.5 billion parameter Qwen2.5-based causal language model developed by daredevil467. This model was fine-tuned from unsloth/Qwen2.5-0.5B-Instruct using Unsloth and Huggingface's TRL library, enabling faster training. It features a notable context length of 32768 tokens, making it suitable for tasks requiring extensive contextual understanding.
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Overview
The daredevil467/hanoi-router-qwen25-05b-v6 is a compact yet capable 0.5 billion parameter language model. It is built upon the Qwen2.5 architecture and was fine-tuned by daredevil467. A key aspect of its development is the utilization of Unsloth and Huggingface's TRL library, which significantly accelerated its training process.
Key Capabilities
- Efficient Training: Leverages Unsloth for 2x faster fine-tuning.
- Qwen2.5 Architecture: Benefits from the robust base of the Qwen2.5 model family.
- Extended Context Window: Supports a substantial context length of 32768 tokens, allowing for processing longer inputs and maintaining coherence over extended conversations or documents.
Good For
- Applications requiring a small, efficient language model with a large context window.
- Scenarios where rapid fine-tuning and deployment are critical.
- Tasks that can benefit from the Qwen2.5 model's general language understanding and generation capabilities, especially when memory or computational resources are constrained.