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
dalone.
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 μμ: motiv hi=0.6700 > baseline=0.0000
- AXIS-2 CE: model_ce=0.71β0.76 < uniform 5.54518 AND < shuffle 7.59β7.68
- AXIS-3 μ°½λ°: len(composed)=101 > len(parts-only)=72
Files (manifest)
clm_d768_e2l1.clmβ 4,463,478 B β sha2567463282dba823eb67316cbb72bba1e47e89d41c1ebd7770902ddd8e512678ed9(CLM\x01 v0.2: 6 int4-sym conv blocks + CLMX trailer)clm_d768_e2l1.ptβ 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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