Update README.md

mit-han-lab · Sep 15, 2023 · 6cf482b · 6cf482b
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@@ -128,7 +128,7 @@ Here, we provide step-by-step instructions to deploy LLaMA2-7B-chat with TinyCha
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-- For Raspberry Pi, we only tested on Raspberry Pi 4 Model B with 8GB RAM. For other versions, please feel free to try it out and let us know if you encounter any issues.
+- For Raspberry Pi, we recommend using the board with 8GB RAM. Our testing was primarily conducted on Raspberry Pi 4 Model B Rev 1.4. For other versions, please feel free to try it out and let us know if you encounter any issues.
 - For Nvidia GPU, our CUDA backend may not support Nvidia GPUs with compute capability <= 7.5. We will release a new version to support Nvidia GPUs with lower compute capability soon, please stay tuned!
 
 ## Quantization and Model Support