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Update README.md

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@@ -152,7 +152,7 @@ pip3 install huggingface-hub
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  Then you can download any individual model file to the current directory, at high speed, with a command like this:
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  ```shell
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- huggingface-cli download TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
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  ```
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  <details>
@@ -161,7 +161,7 @@ huggingface-cli download TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF mixtral-8x7b-i
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  You can also download multiple files at once with a pattern:
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  ```shell
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- huggingface-cli download TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF --local-dir . --local-dir-use-symlinks False --include='*Q4_K*gguf'
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  ```
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  For more documentation on downloading with `huggingface-cli`, please see: [HF -> Hub Python Library -> Download files -> Download from the CLI](https://huggingface.co/docs/huggingface_hub/guides/download#download-from-the-cli).
 
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  Then you can download any individual model file to the current directory, at high speed, with a command like this:
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  ```shell
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+ huggingface-cli download infosys/NT-Java-1.1B-GGUF NT-Java-1.1B_Q4_K_M.gguf --local-dir . --local-dir-use-symlinks False
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  ```
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  <details>
 
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  You can also download multiple files at once with a pattern:
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  ```shell
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+ huggingface-cli download infosys/NT-Java-1.1B-GGUF --local-dir . --local-dir-use-symlinks False --include='*Q4_K*gguf'
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  ```
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  For more documentation on downloading with `huggingface-cli`, please see: [HF -> Hub Python Library -> Download files -> Download from the CLI](https://huggingface.co/docs/huggingface_hub/guides/download#download-from-the-cli).