fathulhudoyo/qwen25-1.5b-alpaca-id-grpo
The fathulhudoyo/qwen25-1.5b-alpaca-id-grpo is a 1.5 billion parameter Qwen2 model developed by fathulhudoyo, fine-tuned from fathulhudoyo/qwen25-1.5b-alpaca-id-sft. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general text generation tasks, leveraging its efficient training methodology.
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Model Overview
The fathulhudoyo/qwen25-1.5b-alpaca-id-grpo is a 1.5 billion parameter Qwen2 language model, developed by fathulhudoyo. It is a fine-tuned variant, building upon the fathulhudoyo/qwen25-1.5b-alpaca-id-sft base model.
Key Characteristics
- Architecture: Qwen2
- Parameters: 1.5 billion
- Training Efficiency: This model was trained with a focus on efficiency, utilizing 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 compact yet efficiently trained Qwen2 model is beneficial. Its optimized training process suggests potential for applications requiring rapid deployment or iteration.