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README.md
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---
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license: apache-2.0
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tags: [clm, conv-moe, byte-lm, anima, lane-p, gpu-torch]
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---
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# clm-v1-lanep-d768-e2l1-torch
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Lane P (substrate=GPU-torch) converged **CLMConvMoE** byte-LM (V=256, no tokenizer), trained
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util-GREEN-independent and verified ENGINE-loadable through anima's CORE/clm_decode.hexa.
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## Shape (honest β NOT 3B)
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- d_model=768, n_experts=2, n_trunk_layers=1, kernel_size=3, vocab=256
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- **7,479,042 params (7.479M)** β the E=2 / 1-trunk decoder shape caps params via `d` alone.
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## Training
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- GPU: NVIDIA RTX PRO 6000 Blackwell (compute_cap 12.0, 96GB), torch 2.11.0+cu128, bf16/AdamW
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- nvidia-smi BUSY: peak_util=94%, mem=2225MiB (verified β not silent CPU-fallback)
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- corpus: 402,270 B 5-lang (en/zh/ru/ja/ko), sha256 09da8888fe1e1452a2c83a8bcd721de548e9f1fd4d9a21de159d4575212728d0
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- **CE descent: first_ce=5.74851 β final_eval_ce=0.09862** (6000 steps, ~45s, ~58x CE drop)
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## ENGINE verification (CORE/clm_decode.hexa, 3-axis 3/3 GREEN)
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- AXIS-1 μμ: motiv hi=0.6700 > baseline=0.0000
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- AXIS-2 CE: model_ce=0.71β0.76 < uniform 5.54518 AND < shuffle 7.59β7.68
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- AXIS-3 μ°½λ°: len(composed)=101 > len(parts-only)=72
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## Files (manifest)
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- `clm_d768_e2l1.clm` β 4,463,478 B β sha256 `7463282dba823eb67316cbb72bba1e47e89d41c1ebd7770902ddd8e512678ed9` (CLM\x01 v0.2: 6 int4-sym conv blocks + CLMX trailer)
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- `clm_d768_e2l1.pt` β 29,922,234 B β fp32 master state_dict (CLMConfig E=2/L1/d768)
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Visibility PUBLIC: closure PASS (converged AND ENGINE-loadable AND 3-axis 3/3 GREEN).
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