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@@ -10,6 +10,8 @@ Resources:
 - [LLM.int8() Paper](https://arxiv.org/abs/2208.07339) -- [LLM.int8() Software Blog Post](https://huggingface.co/blog/hf-bitsandbytes-integration) -- [LLM.int8() Emergent Features Blog Post](https://timdettmers.com/2022/08/17/llm-int8-and-emergent-features/)
 
 ## TL;DR
+**Requirements**
+Linux distribution (Ubuntu, MacOS, etc.) + CUDA >= 10.0. LLM.int8() requires Turing or Ampere GPUs.
 **Installation**:
 ``pip install bitsandbytes``
 
@@ -52,6 +54,8 @@ Hardware requirements:
 
 Supported CUDA versions: 10.2 - 11.7
 
+The bitsandbytes library is currently only supported on Linux distributions. Windows is not supported at the moment.
+
 The requirements can best be fulfilled by installing pytorch via anaconda. You can install PyTorch by following the ["Get Started"](https://pytorch.org/get-started/locally/) instructions on the official website.
 
 ## Using bitsandbytes