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percyliang
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Jun 12, 2025
dlwh
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Jun 12, 2025
| @@ -0,0 +1,155 @@ | |||
| import dataclasses | |||
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doc comment at the top about what this is for
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| if avg_model is None: | ||
| avg_model = jax.tree.map(lambda x: x / len(config.checkpoint_paths), dense_model) | ||
| else: | ||
| avg_model = jax.tree.map(lambda x, avg: avg + x / len(config.checkpoint_paths), dense_model, avg_model) |
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probably better to put each of these in jit
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The script upcycles dense model(s) into a sparse (moe) model by replicating/concatenating mlp into moe layer and use the average of the rest.
An example config can be: