This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.

Info: I trained these Models on Google Colab with a Dataset i created out of the official CPE-Dictionary. The Dataset is formatted in the Alpaca Format:

alpaca_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.

{}

{}

{}"""

For the best results with this Model use this format when interacting with the model:

prompt = alpaca_prompt.format(f"What is the CPE for {vendor} {productname}. Only return the CPE", "", "")

this is the exact wording i used i the dataset. Input and Response should be left blank.