penzai.experimental.v2.toolshed#
Submodules
Basic training logic for training simple models. |
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Utilities for gradient checkpointing / rematerialization. |
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Utility for capturing and analyzing a small subcomputation in a larger model. |
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Utilities for JIT compilation of Penzai models. |
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Low-rank adaptation (LoRA, Hu et al. 2021). |
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Helper classes for rewiring, ablating, and intervening on model activations. |
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Utilities to capture and hold intermediate values as a model runs. |
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Utilities for working with sharded arrays and parameters in Penzai. |
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Recursively transforms |