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Update README.md (#9)
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README.md
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@@ -130,6 +130,13 @@ This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/m
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It achieves the following results on the evaluation set:
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- Loss: 1.0075
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## Prompt Template
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```
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It achieves the following results on the evaluation set:
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- Loss: 1.0075
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## Quantized Models
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> I love how GGUF democratizes the use of Large Language Models (LLMs) on commodity hardware, more specifically, personal computers without any accelerated hardware. Because of this, I am committed to converting and quantizing any models I fine-tune to make them accessible to everyone!
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GGUF (2/3/4/5/6/8 bits): [MaziyarPanahi/phi-2-logical-sft-GGUF](https://huggingface.co/MaziyarPanahi/phi-2-logical-sft-GGUF)
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## Prompt Template
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```
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