kelsbeans/qwen3-1.7b-digestive-coach-n137
The kelsbeans/qwen3-1.7b-digestive-coach-n137 is a 2 billion parameter Qwen3 model developed by kelsbeans, fine-tuned for specific applications. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training times. It features a context length of 32768 tokens, making it suitable for tasks requiring extensive context processing.
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Model Overview
The kelsbeans/qwen3-1.7b-digestive-coach-n137 is a 2 billion parameter language model based on the Qwen3 architecture, developed by kelsbeans. It was fine-tuned from the unsloth/qwen3-1.7b-unsloth-bnb-4bit base model.
Key Characteristics
- Architecture: Qwen3
- Parameter Count: 2 billion parameters
- Context Length: 32768 tokens
- Training Efficiency: This model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster fine-tuning process.
Potential Use Cases
Given its fine-tuned nature and efficient training, this model is well-suited for applications where a specialized Qwen3 model with a substantial context window is beneficial. The use of Unsloth suggests an emphasis on efficient deployment and resource utilization for specific tasks.