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feat(hslm): Phase 2 — Temperature STE + EMA shadow + bfloat16 + RMSNorm - #573
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- Add src/b2t/ste_ema_bfloat16.zig - StraightThroughEstimator: cosine-annealed temperature (5.0→0.1) soft ternary forward, hard ternary inference, STE gradient - EMAShadow: decay=0.999, warmup-corrected, evaluation weights - BFloat16: 16-bit format (1/8/7), roundtrip f32↔bf16 - BFloat16Accumulator: bf16 gradient accumulation + quantize - RMSNorm: zero-param normalization (BitNet b1.58 style) - 7 tests: temperature annealing, soft ternary, STE gradient, EMA tracking, bf16 roundtrip, accumulator, RMSNorm unit norm Closes #294
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Summary
Phase 2 training optimizations: temperature-annealed STE, EMA shadow weights, bfloat16 accumulation, RMSNorm.
New file
src/b2t/ste_ema_bfloat16.zig— 276 LOCComponents
Tests (7)
Closes #294