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README.md

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 *UPLOADING*
 
-**See MiniMax-M2 6.5bit MLX in action - [demonstration video coming soon](https://youtube.com/xcreate)**
+**See MiniMax-M2 6.5bit MLX in action - [demonstration video]https://youtu.be/DCVKP_o2HU0)**
 
 *q6.5bit quant typically achieves 1.128 perplexity in our testing which is equivalent to q8.*
 | Quantization | Perplexity |
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 ## Usage Notes
 
-* Tested on a MacBook Pro connecting to a M3 Ultra 512GB RAM over the internet using [Inferencer app](https://inferencer.com)
+* Tested on a MacBook Pro connecting to a M3 Ultra 512GB RAM over the internet using [Inferencer app v1.5.4](https://inferencer.com)
 * Memory usage: ~175 GB
 * Expect 36 tokens/s for small contexts (200 tokens) down to 11 token/s for large (6800 tokens)
 * Quantized with a modified version of [MLX](https://github.com/ml-explore/mlx) 0.28
-* For more details see [demonstration video coming soon](https://youtube.com/xcreate) or visit [MiniMax-M2](https://huggingface.co/MiniMaxAI/MiniMax-M2).
+* For more details see [demonstration video](https://youtu.be/DCVKP_o2HU0) or visit [MiniMax-M2](https://huggingface.co/MiniMaxAI/MiniMax-M2).
 
 ## Disclaimer