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@@ -12,6 +12,8 @@ Thanks to Mick for writing the `xor_codec.py` script which enables this process
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  Note: This process applies to `oasst-sft-6-llama-30b` model. The same process can be applied to other models in future, but the checksums will be different..
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  To use OpenAssistant LLaMa-Based Models, you need to have a copy of the original LLaMa model weights and add them to a `llama` subdirectory here.
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  Ensure your LLaMa 30B checkpoint matches the correct md5sums:
 
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  Note: This process applies to `oasst-sft-6-llama-30b` model. The same process can be applied to other models in future, but the checksums will be different..
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+ **This process is tested only on Linux (specifically Ubuntu). Some users have reported that the process does not work on Windows. We recommend using WSL if you only have a Windows machine.**
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  To use OpenAssistant LLaMa-Based Models, you need to have a copy of the original LLaMa model weights and add them to a `llama` subdirectory here.
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  Ensure your LLaMa 30B checkpoint matches the correct md5sums: