初始化项目，由ModelHub XC社区提供模型

Model: pathcosmos/frankenstallm
Source: Original Platform

source/configs/korean_3b_sft.yaml

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+# Korean 3B SFT Configuration
+#
+# Base model: checkpoints/korean_3b_fp8_run1/checkpoint-XXXXXX (3B params pretrained)
+# SFT 목표: instruction following + 반복 퇴화 완화 + 생성 품질 향상
+# 아키텍처: LLaMA-3 3B 참고 (d=3072, 28L, 24H, GQA 8:1)
+#
+# 실행: bash scripts/launch_3b_sft.sh
+#
+# [설계 근거 — 2026-03-02]
+#   - batch: 2 × 8GPU × 4 grad_accum = 64 eff_batch
+#   - max_steps 33000 ≈ 3 epochs × 700K samples / 64 eff_batch
+#   - lr=1e-5: pretrain 1.5e-4의 1/15 (catastrophic forgetting 방지)
+#   - NEFTune alpha=5.0: 생성 다양성 향상, 반복 퇴화 완화
+#   - use_fp8=true: B200 MXFP8 네이티브 가속 유지
+
+model:
+  vocab_size: 64000
+  d_model: 3072
+  n_layers: 28
+  n_heads: 24
+  n_kv_heads: 8
+  d_ffn: 8192
+  max_seq_len: 4096
+  rope_theta: 500000.0
+  dropout: 0.0
+  bias: false
+  use_flash_attn: true
+  use_fp8: true
+
+train:
+  max_steps: 33000       # 3 epochs × 700K / 64 eff_batch
+  batch_size: 2          # per GPU (3B VRAM 절약)
+  grad_accum_steps: 4    # eff_batch: 2 × 8GPU × 4 = 64
+  lr: 1.0e-5             # catastrophic forgetting 방지
+  weight_decay: 0.01
+  warmup_steps: 500
+  max_grad_norm: 1.0
+  log_interval: 10
+  save_interval: 2000
+  eval_interval: 500
+  use_amp: false
+  compile_model: false
+  neftune_alpha: 5.0     # NEFTune noise injection
+
+tokenizer:
+  vocab_size: 64000
+  type: sentencepiece_unigram