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@Player9753193 Player9753193 released this 15 Jan 10:39
· 1 commit to main since this release
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🚀 Vocabulary-Governed GRU Release

This release marks a structural stabilization milestone for CrystalLM.

✨ Highlights

  • GRU-based word-level language model

    • Replaced earlier experimental RNN variants with a stable multi-layer GRU
    • Improved training stability and long-context behavior
  • Vocabulary governance refined

    • Explicit low-frequency pruning
    • More controlled <UNK> mapping
    • Reduced vocabulary noise and improved generation coherence
  • Generation behavior improved

    • Fixed premature <END> termination
    • Temperature sampling behavior is now consistent and predictable
  • Training workflow hardened

    • More stable loss convergence
    • CPU-friendly training path (Intel Mac verified)
    • Checkpoint reuse without retraining

🎯 Scope & Intent

This release prioritizes clarity, correctness, and observability over scale.
It represents a solid educational baseline for understanding word-level language modeling before moving to Transformers.