Upload README.md

README.md

@@ -4,7 +4,7 @@ inference: false
 language:
 - en
 library_name: transformers
-license: cc
+license: other
 model_creator: medalpaca
 model_name: Medalpaca 13B
 model_type: llama
@@ -94,15 +94,8 @@ Below is an instruction that describes a task. Write a response that appropriate
 ```
 
 <!-- prompt-template end -->
-<!-- licensing start -->
-## Licensing
 
-The creator of the source model has listed its license as `cc`, and this quantization has therefore used that same license.
 
-As this model is based on Llama 2, it is also subject to the Meta Llama 2 license terms, and the license files for that are additionally included. It should therefore be considered as being claimed to be licensed under both licenses. I contacted Hugging Face for clarification on dual licensing but they do not yet have an official position. Should this change, or should Meta provide any feedback on this situation, I will update this section accordingly.
-
-In the meantime, any questions regarding licensing, and in particular how these two licenses might interact, should be directed to the original model repository: [medalpaca's Medalpaca 13B](https://huggingface.co/medalpaca/medalpaca-13b).
-<!-- licensing end -->
 <!-- compatibility_gguf start -->
 ## Compatibility
 
@@ -170,7 +163,7 @@ Then click Download.
 I recommend using the `huggingface-hub` Python library:
 
 ```shell
-pip3 install huggingface-hub>=0.17.1
+pip3 install huggingface-hub
 ```
 
 Then you can download any individual model file to the current directory, at high speed, with a command like this: