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Update README.md
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README.md
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@@ -22,6 +22,8 @@ It is trained on around 155000 set of conversations. Each set having 10~15 conve
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Entire dataset was trained on Azure 4 x A100 80GB. For 3 epoch, training took 28 hours. DeepSpeed codebase was used for training purpose. This was trained on Llama-1 by Meta.
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Llama-1 was used as it is very useful for Uncensored conversation.
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**GPTQ GGML & AWQ**
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GPTQ: [Link](https://huggingface.co/TheBloke/Uncensored-Jordan-7B-GPTQ)
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Entire dataset was trained on Azure 4 x A100 80GB. For 3 epoch, training took 28 hours. DeepSpeed codebase was used for training purpose. This was trained on Llama-1 by Meta.
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Llama-1 was used as it is very useful for Uncensored conversation.
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This is a full fine tuned model. Links for quantized models are given below.
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**GPTQ GGML & AWQ**
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GPTQ: [Link](https://huggingface.co/TheBloke/Uncensored-Jordan-7B-GPTQ)
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