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Update README.md

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@@ -47,7 +47,7 @@ Overall, the model is suitable when making a pretrained version so you can conti
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  - Main tasks: reasoning, multi-tasking knowledge and function tools.
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  - License: [Ghost 7B LICENSE AGREEMENT](https://ghost-x.vercel.app/ghost-7b-license).
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  - Based on: Mistral 7B.
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- - Distributions: Standard (BF16), GUFF, AWQ.
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  - Developed by: **Ghost X**, [Hieu Lam](https://huggingface.co/lamhieu).
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  ### Links
@@ -63,14 +63,14 @@ We create many distributions to give you the best access options that best suit
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  | Version | Model card |
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  | ------- | -------------------------------------------------------------------- |
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  | BF16 | [🤗 HuggingFace](https://huggingface.co/ghost-x/ghost-7b-alpha) |
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- | GUFF | [🤗 HuggingFace](https://huggingface.co/ghost-x/ghost-7b-alpha-guff) |
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  | AWQ | [🤗 HuggingFace](https://huggingface.co/ghost-x/ghost-7b-alpha-awq) |
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  ### Standard (BF16)
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  The standard distribution was used to run the assessments and was found to have the best performance in text generation quality.
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- ### GUFF
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  GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
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  - Main tasks: reasoning, multi-tasking knowledge and function tools.
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  - License: [Ghost 7B LICENSE AGREEMENT](https://ghost-x.vercel.app/ghost-7b-license).
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  - Based on: Mistral 7B.
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+ - Distributions: Standard (BF16), GGUF, AWQ.
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  - Developed by: **Ghost X**, [Hieu Lam](https://huggingface.co/lamhieu).
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  ### Links
 
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  | Version | Model card |
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  | ------- | -------------------------------------------------------------------- |
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  | BF16 | [🤗 HuggingFace](https://huggingface.co/ghost-x/ghost-7b-alpha) |
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+ | GGUF | [🤗 HuggingFace](https://huggingface.co/ghost-x/ghost-7b-alpha-gguf) |
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  | AWQ | [🤗 HuggingFace](https://huggingface.co/ghost-x/ghost-7b-alpha-awq) |
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  ### Standard (BF16)
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  The standard distribution was used to run the assessments and was found to have the best performance in text generation quality.
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+ ### GGUF
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  GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
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