SamatNext v0.2-B, a 356M-parameter hybrid decoder, achieves 100.0% pass rate on Stage 5 and retains 98.8% of Stage 3 semantic behavior in a controlled Python code curriculum. It outperforms a parameter-matched Transformer baseline, which reaches only 97.6% on Stage 5 and retains just 6.0% of Stage 5 behavior, indicating improved retention under sequential fine-tuning.
SamatNext v0.2-B Achieves Superior Curriculum Retention in Small Code Models
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