On-policy chain-alignment of
mtp.0
's non-expert parameters (74.3M, bf16) for
DeepSeek-V4-Flash-0731, trained teacher-forced on the model's own greedy
generations to improve chained (depth-k) draft acceptance.
Load after the 4-bit pack by dequantizing mtp.0's non-expert linears to bf16
and applying these tensors (see
train_align.py
/ serving sidecar in
github.com/avlp12/dsv4flash_tp2_stack). Speculative decoding is lossless, so
this changes speed only, never outputs.
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