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pcuenca
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Feb 19, 2026
pcuenca
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Feb 19, 2026
pcuenca
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Feb 19, 2026
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Getting 18 tps with my changes, on two M3 Ultra over Ethernet.
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
…tize_model and dequantize_model based on usage
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Awesome! 🔥 |
pcuenca
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Feb 23, 2026
| model.shard(tensor_group) | ||
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| mx.eval(model.language_model.parameters()) | ||
| mx.eval(model.parameters()) |
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This is still not working for me, did you revert the model.language_model change?
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To be clear: mx.eval(model.language_model.parameters()) is what works for me.
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I tried with evaluating the whole model and it works. Just like in the normal path.
What's was missing is model.eval()
My biggest issue is tight right now is that I'm highly limited in my setup to fully test things
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In my setup, execution never reaches the new model.eval() you added.
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