support offloading layers to CPU (#3512) [skip ci]
* support offloading layers to CPU * chore: lint * revert change * update docs
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@@ -54,6 +54,13 @@ These techniques save VRAM by changing how activations are handled.
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- Activation Offloading: moves activations to CPU RAM or disk, trading I/O overhead for VRAM.
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- Learn more: [Gradient Checkpointing and Offloading Docs](gradient_checkpointing.qmd)
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### Layer Offloading
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Offloads frozen (non-trainable) decoder layer parameters to CPU and streams them back to GPU one layer at a time during forward/backward passes using CUDA stream prefetching. Especially effective for LoRA/QLoRA where most parameters are frozen.
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- **Config:** `layer_offloading: true`
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- **Learn more:** [Layer Offloading Docs](gradient_checkpointing.qmd#enabling-layer-offloading)
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### Cut Cross Entropy (CCE)
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Reduces VRAM usage by using an optimized cross-entropy loss calculation.
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