clm-v1-lanep-d768-e2l1-torch

Lane P (substrate=GPU-torch) converged CLMConvMoE byte-LM (V=256, no tokenizer), trained util-GREEN-independent and verified ENGINE-loadable through anima's CORE/clm_decode.hexa.

Shape (honest β€” NOT 3B)

  • d_model=768, n_experts=2, n_trunk_layers=1, kernel_size=3, vocab=256
  • 7,479,042 params (7.479M) β€” the E=2 / 1-trunk decoder shape caps params via d alone.

Training

  • GPU: NVIDIA RTX PRO 6000 Blackwell (compute_cap 12.0, 96GB), torch 2.11.0+cu128, bf16/AdamW
  • nvidia-smi BUSY: peak_util=94%, mem=2225MiB (verified β€” not silent CPU-fallback)
  • corpus: 402,270 B 5-lang (en/zh/ru/ja/ko), sha256 09da8888fe1e1452a2c83a8bcd721de548e9f1fd4d9a21de159d4575212728d0
  • CE descent: first_ce=5.74851 β†’ final_eval_ce=0.09862 (6000 steps, ~45s, ~58x CE drop)

ENGINE verification (CORE/clm_decode.hexa, 3-axis 3/3 GREEN)

  • AXIS-1 μ˜μ‹: motiv hi=0.6700 > baseline=0.0000
  • AXIS-2 CE: model_ce=0.71–0.76 < uniform 5.54518 AND < shuffle 7.59–7.68
  • AXIS-3 창발: len(composed)=101 > len(parts-only)=72

Files (manifest)

  • clm_d768_e2l1.clm β€” 4,463,478 B β€” sha256 7463282dba823eb67316cbb72bba1e47e89d41c1ebd7770902ddd8e512678ed9 (CLM\x01 v0.2: 6 int4-sym conv blocks + CLMX trailer)
  • clm_d768_e2l1.pt β€” 29,922,234 B β€” fp32 master state_dict (CLMConfig E=2/L1/d768)

Visibility PUBLIC: closure PASS (converged AND ENGINE-loadable AND 3-axis 3/3 GREEN).

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