fix: F5-1 — initialize self._tokenizer before _ensure_tokenizer()

fix: F4-1/2/3 — three crash-on-run bugs

fix(audit): C1/H1/H3/H4 审计报告修复

fix: audit v2 P1 fixes - D8 Ollama SBLA warning, D13 metrics deprecation

fix: audit v2 P0/P1 fixes (D1/D2/D3/D7/D9/D11/D14)

fix: external audit issues from commit 08f2cd2

fix: v13 external audit - CRITICAL/HIGH/MEDIUM fixes

fix: comprehensive audit fixes - CRITICAL/HIGH/MEDIUM/LOW

Fix M-NEW-10: Use tokenizer encoding in _load_dataset instead of byte encoding

fix(v12): resolve 6 defects from v11 audit (F-NEW-6, S-NEW-5, M-NEW-5/6, MI-NEW-4/5/6)

fix(v11): resolve remaining 5 defects (S-NEW-1/2, M-NEW-2/3, MI-NEW-1)

fix(v10): resolve 5 fatal + 2 serious + 2 moderate + 2 minor defects

fix: v5 remove empty tokenizer.json, unify think tokens, integrate tokenizer into training pipeline

chore: replace author real name with GitHub username

fix: v4 comprehensive defect repair (S3/M1/M3/M4/M5/F2/F3)

feat: M4 attention unification + DPO trainer + inference dashboard

fix: M2/S2/S4/M4 defect repairs

fix: v3 comprehensive defect repair

feat: 重写 DyQuant 量化代码，修复 thinking_dial.py 编码问题

feat: 完成 SBLA 注意力集成 + MVP 训练流程

feat: 初始化 Fusion 项目 - 六边形开源大模型