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"Update README.md"

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@@ -46,7 +46,7 @@ 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.
@@ -60,6 +60,7 @@ 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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  [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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  Questions, comments, feedback, looking to donate, or want to help? Reach out on our [Discord](https://discord.gg/PugNNHAF5r) or email [wing@openaccessaicollective.org](mailto:wing@openaccessaicollective.org)
@@ -269,6 +270,7 @@ Falcon-7B is made available under the Apache 2.0 license.
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  falconllm@tii.ae
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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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  [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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  Questions, comments, feedback, looking to donate, or want to help? Reach out on our [Discord](https://discord.gg/PugNNHAF5r) or email [wing@openaccessaicollective.org](mailto:wing@openaccessaicollective.org)
 
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  falconllm@tii.ae
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  ***End of original Model File***
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+ ---
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  ## Please consider to support my work