Nvalchemi Fine Tuning
NVIDIA/nvalchemi-toolkit/.claude/skills/nvalchemi-fine-tuning
ai-mlResmi
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How to fine-tune nvalchemi-compatible models with FineTuningStrategy, pretrained checkpoint initialization, module patches, trainable-parameter filters, conservative optimizer defaults, validation, restart checkpoints, and model-agnostic MACE, AIMNet2, custom BaseModelMixin, or PyTorch inputs. Use when adapting a pretrained MLIP (e.g. MACE-MP) to new reference data, freezing or patching submodules during training, or resuming an interrupted fine-tune from a checkpoint.
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Kurulum
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Skill detayları
Versiyonv1.0.0
YazarNVIDIA
Kategoriai-ml
Skill IDNVIDIA/nvalchemi-toolkit/.claude/skills/nvalchemi-fine-tuning
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