Uploaded model

  • Developed by: LuuWee
  • License: apache-2.0
  • Finetuned from model : unsloth/Qwen3-8B-unsloth-bnb-4bit

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.

Instruction:

{}

Input:

{}

Response:

{}"""

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.

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qwen3
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4-bit

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