daredevil467/hanoi-router-qwen25-15b-v6
The daredevil467/hanoi-router-qwen25-15b-v6 is a 1.5 billion parameter causal language model, developed by daredevil467 and fine-tuned from unsloth/Qwen2.5-1.5B-Instruct. This model leverages Unsloth and Huggingface's TRL library for accelerated training, offering a 32768 token context length. It is optimized for efficient performance, making it suitable for applications requiring a compact yet capable LLM.
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Model Overview
The daredevil467/hanoi-router-qwen25-15b-v6 is a 1.5 billion parameter language model developed by daredevil467. It is fine-tuned from the unsloth/Qwen2.5-1.5B-Instruct base model, utilizing the Unsloth library and Huggingface's TRL for significantly faster training (2x speedup).
Key Characteristics
- Architecture: Based on the Qwen2.5 family.
- Parameter Count: 1.5 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Benefits from Unsloth's optimizations for accelerated fine-tuning.
Use Cases
This model is well-suited for applications where a compact yet capable language model is required, especially those that can leverage its efficient training methodology. Its 1.5B parameter size and 32K context make it a strong candidate for tasks needing moderate complexity and longer input sequences without the overhead of larger models.