初始化项目，由ModelHub XC社区提供模型

Model: pathcosmos/frankenstallm
Source: Original Platform

source/configs/small_fp8.yaml

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+# Small LLM ~125M parameters — FP8 variant (B200 TransformerEngine)
+# Based on small.yaml; only changed fields are listed explicitly.
+model:
+  vocab_size: 32000
+  d_model: 768
+  n_layers: 12
+  n_heads: 12
+  n_kv_heads: 12      # MHA (same as n_heads)
+  max_seq_len: 2048
+  rope_theta: 10000.0
+  dropout: 0.0
+  bias: false
+  use_flash_attn: true
+  use_fp8: true        # Enable TransformerEngine FP8 kernels
+
+train:
+  max_steps: 100000
+  batch_size: 8          # per GPU; 8 * 2048 = 16384 tokens → divisible by 8 ✓
+  grad_accum_steps: 4    # effective batch = 8 * 8 GPUs * 4 = 256
+  lr: 3.0e-4
+  weight_decay: 0.1
+  warmup_steps: 2000
+  max_grad_norm: 1.0
+  log_interval: 10
+  save_interval: 1000
+  eval_interval: 500
+  use_amp: false          # fp8_autocast replaces torch.autocast
+  compile_model: false    # torch.compile + TE 2.10 stability not verified
+  fp8_amax_history_len: 16
+  fp8_amax_compute_algo: "max"
+  fp8_format: "MXFP8"    # B200 native block scaling (better than HYBRID on Blackwell)
+
+tokenizer:
+  vocab_size: 32000
+  type: bpe