feat(hslm): knowledge distillation from FP32 teacher to ternary student#567
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- Add src/b2t/knowledge_distillation.zig - DistillationLoss: soft-target KL divergence + hard-label CE - Temperature-scaled softmax/log-softmax - Combined loss: alpha*soft + (1-alpha)*hard - TeacherStudent wrapper for paired forward passes - Hinton et al. (2015) distillation framework - 6 tests: softmax valid probs, log-softmax, soft loss, hard loss, combined, teacher-student wrapper Closes #322
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Summary
Knowledge distillation framework for transferring FP32 teacher knowledge to ternary student.
New file
src/b2t/knowledge_distillation.zig— 216 LOCMethod (Hinton et al. 2015)
alpha * KL(teacher || student) + (1-alpha) * CE(student, target)Features
DistillationLoss: soft-target KL, hard-label CE, combined losssoftmaxAlloc(),logSoftmaxAlloc(): numerically stable softmaxTeacherStudent: paired forward pass wrapperTests (6)
Closes #322