README.md

---
base_model: unsloth/mistral-7b-v0.3-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- gguf
license: apache-2.0
language:
- en
---

# Uploaded  model

- **Developed by:** LuuWee
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-v0.3-bnb-4bit

This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

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.