Snider e3fbc221ce feat(metal): add mixed precision training via LoRAConfig.DType (Phase 3) ... LoRA A/B matrices can now be created in BFloat16 or Float16 for mixed precision training. DType field added to LoRAConfig, passed through ApplyLoRA and NewLoRALinear. MLX auto-promotes for cross-dtype ops. BFloat16 validated: loss 7.15→6.29, matches Float32 accuracy with half param memory. Co-Authored-By: Virgil <virgil@lethean.io> Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>		2026-02-19 23:13:49 +00:00
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metal	feat(metal): add mixed precision training via LoRAConfig.DType (Phase 3)	2026-02-19 23:13:49 +00:00