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--- |
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license: apache-2.0 |
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datasets: |
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- digitalpipelines/wizard_vicuna_70k_uncensored |
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--- |
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# Overview |
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Fine-tuned [OpenLLaMA-7B](https://huggingface.co/openlm-research/open_llama_7b) with an uncensored/unfiltered Wizard-Vicuna conversation dataset [digitalpipelines/wizard_vicuna_70k_uncensored](https://huggingface.co/datasets/digitalpipelines/wizard_vicuna_70k_uncensored). |
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Used QLoRA for fine-tuning using the process outlined in https://georgesung.github.io/ai/qlora-ift/ |
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A quantized GPTQ model can be found at [digitalpipelines/llama2_7b_chat_uncensored-GPTQ](https://huggingface.co/digitalpipelines/llama2_7b_chat_uncensored-GPTQ) |
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# Prompt style |
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The model was trained with the following prompt style: |
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``` |
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### HUMAN: |
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Hello |
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### RESPONSE: |
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Hi, how are you? |
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### HUMAN: |
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I'm fine. |
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### RESPONSE: |
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How can I help you? |
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... |
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``` |
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