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emibrahim/Qwen2.5-0.5B-NLP-Project-2
Qwen2.5-0.5B-NLP-Project-2 is a text generation model from emibrahim. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of Qwen2.5-0.5B-Instruct optimized for strict instruction-following and concise, human-aligned responses. It was trained using a two-stage alignment pipeline:
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From the Hugging Face model README
This model is a fine-tuned version of Qwen2.5-0.5B-Instruct optimized for strict instruction-following and concise, human-aligned responses. It was trained using a two-stage alignment pipeline:
Supervised Fine-Tuning (SFT): Trained on the HuggingFaceH4/no_robots dataset to improve structural formatting and zero-shot task execution.
Direct Preference Optimization (DPO): Aligned using the argilla/dpo-mix-7k dataset to reduce conversational verbosity and prioritize helpful, direct answers.
The model utilizes PEFT/LoRA adapters and was trained efficiently within memory constraints using the Unsloth framework.
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.