kelsbeans/qwen3-1.7b-digestive-coach-n957
The kelsbeans/qwen3-1.7b-digestive-coach-n957 is a 1.7 billion parameter Qwen3 model, developed by kelsbeans, and fine-tuned for specific applications. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for tasks requiring a compact yet efficient language model, leveraging its optimized training process.
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Model Overview
The kelsbeans/qwen3-1.7b-digestive-coach-n957 is a 1.7 billion parameter Qwen3 model, developed by kelsbeans. It has been fine-tuned from the unsloth/qwen3-1.7b-unsloth-bnb-4bit base model.
Key Characteristics
- Architecture: Qwen3
- Parameter Count: 1.7 billion
- Context Length: 32768 tokens
- Training Optimization: Fine-tuned with Unsloth and Huggingface's TRL library, resulting in 2x faster training compared to standard methods.
Intended Use Cases
This model is suitable for applications where efficient and rapid fine-tuning is beneficial. Its compact size makes it ideal for deployment in resource-constrained environments or for tasks requiring a smaller, specialized language model. The optimized training process suggests it can be quickly adapted for various domain-specific coaching or conversational tasks.