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Language Modeling on FineWeb 10B (val)

19.54Validation PerplexityLR-Muon200
16.525636.872857.2277.5672Sep 15, 2025

Evaluation results

MethodLinks
LR-Muon200Model Size=1B2025.0919.54298,000——
LR-Muon200Model Size=1B2025.0920.69291,000——
MuonModel Size=1B2025.0920.99318,000——
LR-Muon100Model Size=1B2025.0921.36288,000——
LR-Muon100Model Size=1B2025.0921.7279,000——
AdamWModel Size=1B2025.0922.54278,000——
MuonModel Size=1B2025.0922.67325,000——
AdamWModel Size=1B2025.0924.14278,000——
SOAPModel Size=1B2025.0924.14278,000——
SOAPModel Size=1B2025.0924.54278,000——
LR-Muon200Model Size=350M2025.0926.8712,600——
LR-Muon100Model Size=350M2025.0927.2412,400——
LR-Muon200Model Size=135M2025.0927.655,700——
LR-Muon100Model Size=135M2025.0927.725,660——
SOAPModel Size=350M2025.0927.7912,000——
SOAPModel Size=135M2025.0928.15,290——
MuonModel Size=60M2025.0928.572,680——
AdamWModel Size=350M2025.0929.1212,000——
LR-Muon200Model Size=60M2025.0929.292,810——
MuonModel Size=350M2025.0929.4713,300——
LR-Muon100Model Size=60M2025.0930.522,720——
MuonModel Size=135M2025.0930.725,840——
LR-Muon200Model Size=350M2025.0932.3713,000——
AdamWModel Size=135M2025.0932.965,290——
LR-Muon100Model Size=350M2025.0933.5412,800——
LR-Muon100Model Size=135M2025.0934.085,660——
LR-Muon200Model Size=135M2025.0934.375,700——
AdamWModel Size=350M2025.0935.7612,100——
SOAPModel Size=350M2025.0935.7612,100——
LR-Muon200Model Size=60M2025.0936.052,700——
MuonModel Size=350M2025.0936.4313,500——
MuonModel Size=60M2025.0936.682,590——
LR-Muon100Model Size=60M2025.0937.332,690——
MuonModel Size=135M2025.0937.965,690——
AdamWModel Size=135M2025.0940.175,270——
SOAPModel Size=135M2025.0940.175,270——
SOAPModel Size=60M2025.0940.322,600——
AdamWModel Size=60M2025.0941.822,600——
GaLoreModel Size=1B2025.0943.56276,000——
SGDMModel Size=1B2025.0944.71277,000——
GaLoreModel Size=1B2025.0944.71277,000——
GaLoreModel Size=350M2025.0945.1312,000——
SGDMModel Size=1B2025.0947.56276,000——
AdamWModel Size=60M2025.0950.512,460——
SOAPModel Size=60M2025.0950.512,460——
GaLoreModel Size=60M2025.0964.042,570——
GaLoreModel Size=135M2025.0968.135,270——
SGDMModel Size=135M2025.0973.485,270——
SGDMModel Size=350M2025.0973.4812,000——
SGDMModel Size=60M2025.0982.632,570——
SGDMModel Size=350M2025.0986.4912,000——
GaLoreModel Size=350M2025.0986.4912,000——
SGDMModel Size=135M2025.0986.995,270——
GaLoreModel Size=135M2025.0986.995,270——
SGDMModel Size=60M2025.0994.92,490——
GaLoreModel Size=60M2025.0994.92,490——
Block AttnResModel Scale=S, n=42026.05——2.9107—
Block AttnResModel Scale=M, n=42026.05——2.7009—
Block AttnResModel Scale=L, n=42026.05——2.5946—
Block AttnResModel Scale=S, n=82026.05——2.9081—
Block AttnResModel Scale=M, n=82026.05——2.697—
Block AttnResModel Scale=L, n=82026.05——2.5921—
Competitive MGRModel Scale=S, n=42026.05——2.9045—
Competitive MGRModel Scale=M, n=42026.05——2.6911—
Competitive MGRModel Scale=L, n=42026.05——2.5898—
Competitive MGRModel Scale=S, n=82026.05——2.902—
Competitive MGRModel Scale=M, n=82026.05——2.6908—
Competitive MGRModel Scale=L, n=82026.05——2.5857—
COSMOSScale=GPT-2 124M, r=64, Precision=full-precision2026.05——3.301430.24
COSMOSScale=GPT-2 124M, r=128, Precision=full-precision2026.05——3.298530.25
COSMOSScale=GPT-2 350M, r=64, Precision=full-precision2026.05——3.049272.39
COSMOSScale=GPT-2 350M, r=128, Precision=full-precision2026.05——3.047472.41
COSMOSScale=LLaMA 134M, r=64, Precision=full-precision2026.05——3.038331.9
COSMOSScale=LLaMA 134M, r=128, Precision=full-precision2026.05——3.038631.91
COSMOSScale=LLaMA 450M, r=64, Precision=full-precision2026.05——2.740472.62
COSMOSScale=LLaMA 450M, r=128, Precision=full-precision2026.05——2.741672.64
Full AttnResModel Scale=S2026.05——2.9066—
Full AttnResModel Scale=M2026.05——2.6947—
Full AttnResModel Scale=L2026.05——2.592—
Independent MGRModel Scale=S, n=42026.05——2.904—
Independent MGRModel Scale=M, n=42026.05——2.6929—
Independent MGRModel Scale=L, n=42026.05——2.5903—
Independent MGRModel Scale=S, n=82026.05——2.9034—
Independent MGRModel Scale=M, n=82026.05——2.6912—
Independent MGRModel Scale=L, n=82026.05——2.5887—
mHC-liteModel Scale=S, n=42026.05——2.9145—
mHC-liteModel Scale=M, n=42026.05——2.7082—
Pre NormModel Scale=S2026.05——2.944—
Pre NormModel Scale=M2026.05——2.7314—
Pre NormModel Scale=L2026.05——2.6213—
Pro-KLShampooScale=GPT-2 124M, r=64, Precision=half precision2026.05——3.275430.16
Pro-KLShampooScale=GPT-2 124M, r=128, Precision=half precision2026.05——3.274530.17
Pro-KLShampooScale=GPT-2 350M, r=64, Precision=half precision2026.05——3.034872.24
Pro-KLShampooScale=GPT-2 350M, r=128, Precision=half precision2026.05——3.034472.25
Pro-KLShampooScale=LLaMA 134M, r=64, Precision=half precision2026.05——3.034531.75
Pro-KLShampooScale=LLaMA 134M, r=128, Precision=half precision2026.05——3.033531.76
Pro-KLShampooScale=LLaMA 450M, r=64, Precision=half precision2026.05——2.745371.86
Pro-KLShampooScale=LLaMA 450M, r=128, Precision=half precision2026.05——2.746971.89