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"Update README.md"

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@@ -43,7 +43,7 @@ The core project making use of the ggml library is the [llama.cpp](https://githu
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  There is a bunch of quantized files available. How to choose the best for you:
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- # legacy quants
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  Q4_0, Q4_1, Q5_0, Q5_1 and Q8 are `legacy` quantization types.
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  Nevertheless, they are fully supported, as there are several circumstances that cause certain model not to be compatible with the modern K-quants.
@@ -57,6 +57,7 @@ With a Q6_K you should find it really hard to find a quality difference to the o
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  # Original Model Card:
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  This is WizardLM trained on top of tiiuae/falcon-40b, with a subset of the dataset - responses that contained alignment / moralizing were removed. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for example with a RLHF LoRA.
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@@ -76,6 +77,7 @@ What is a falcon? Can I keep one as a pet?
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  Thank you [chirper.ai](https://chirper.ai) for sponsoring some of my compute!
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  ***End of original Model File***
 
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  ## Please consider to support my work
 
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  There is a bunch of quantized files available. How to choose the best for you:
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+ # Legacy quants
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  Q4_0, Q4_1, Q5_0, Q5_1 and Q8 are `legacy` quantization types.
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  Nevertheless, they are fully supported, as there are several circumstances that cause certain model not to be compatible with the modern K-quants.
 
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+ ---
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  # Original Model Card:
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  This is WizardLM trained on top of tiiuae/falcon-40b, with a subset of the dataset - responses that contained alignment / moralizing were removed. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for example with a RLHF LoRA.
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  Thank you [chirper.ai](https://chirper.ai) for sponsoring some of my compute!
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  ***End of original Model File***
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+ ---
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  ## Please consider to support my work