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base_model: unsloth/mistral-7b-v0.3-bnb-4bit |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- mistral |
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- gguf |
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license: apache-2.0 |
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language: |
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- en |
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--- |
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# Uploaded model |
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- **Developed by:** LuuWee |
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- **License:** apache-2.0 |
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- **Finetuned from model :** unsloth/mistral-7b-v0.3-bnb-4bit |
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
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Info: |
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I trained these Models on Google Colab with a Dataset i created out of the official CPE-Dictionary. |
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The Dataset is formatted in the Alpaca Format: |
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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. |
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### Instruction: |
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{} |
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### Input: |
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{} |
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### Response: |
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{}""" |
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For the best results with this Model use this format when interacting with the model: |
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prompt = alpaca_prompt.format(f"What is the CPE for {vendor} {productname}. Only return the CPE", "", "") |
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this is the exact wording i used i the dataset. Input and Response should be left blank. |
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