fathulhudoyo/qwen25-1.5b-alpaca-id-sft
The fathulhudoyo/qwen25-1.5b-alpaca-id-sft is a 1.5 billion parameter Qwen2.5 model, developed by fathulhudoyo, and fine-tuned from unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general text generation tasks, leveraging its efficient fine-tuning process.
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Model Overview
This model, fathulhudoyo/qwen25-1.5b-alpaca-id-sft, is a 1.5 billion parameter language model based on the Qwen2.5 architecture. It was developed by fathulhudoyo and fine-tuned from the unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit base model.
Key Characteristics
- Base Architecture: Qwen2.5
- Parameter Count: 1.5 billion
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Apache-2.0
Use Cases
This model is suitable for various text generation tasks, particularly where a smaller, efficiently trained model is beneficial. Its fine-tuning with Unsloth suggests an optimization for faster deployment and inference, making it a good candidate for applications requiring quick response times or resource-constrained environments.