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README.md

@@ -23,11 +23,17 @@ pipeline_tag: text-generation
 
 ## Usage Notes
 
-* Tested remotely over the network via a M3 Ultra 512GB RAM using [Inferencer app v1.7.3](https://inferencer.com)
+* With a single M3 Ultra 512GB RAM using [Inferencer app v1.7.3](https://inferencer.com)
+* Expect ~16.5 tokens/s @ 1000 tokens
 * Memory usage: ~450 GB
-  * For a larger context window you can expand the VRAM limit:
+  * For a larger context window (11k tokens) you can expand the RAM limit:
     * sudo sysctl iogpu.wired_limit_mb=507000
-* Expect ~16.5 tokens/s @ 1000 tokens
+
+* With M3 Ultra 512GB RAM connected to MBP 128GB RAM using [Inferencer app v1.7.3](https://inferencer.com) with distributed compute
+* Expect ~13.7 tokens/s @ 1000 tokens
+* Memory usage: MBP ~20GB + Mac Studio ~430GB
+  * More RAM available for larger context window using this method
+
 * Quantized with a modified version of [MLX](https://github.com/ml-explore/mlx) 0.28
 * For more details see [demonstration video - coming soon](https://youtu.be/b6RgBIROK5o) or visit [DeepSeek-V3.2-Speciale](https://huggingface.co/deepseek-ai/DeepSeek-V3.2-Speciale).