List your company

Language Modeling on FineWeb-Edu (val)

8.71PerplexityDeltaNet
-3.06876.4335155.935235.4365Mar 2, 2026Mar 16, 2026Mar 31, 2026Apr 15, 2026Apr 29, 2026May 14, 2026May 29, 2026

Evaluation results

MethodLinks
DeltaNetModel Scale=1.3B / 100B, Evaluation Mode=Zero-shot, Data Slice=matched packed train[-10000:]2026.058.71———————
OSDN-APFModel Scale=1.3B / 100B, Evaluation Mode=Zero-shot, Data Slice=matched packed train[-10000:]2026.059.1———————
MLRABranches=42026.039.193———————
MLRABranches=22026.039.242———————
GLABranches=22026.039.249———————
MLA2026.039.284———————
GLABranches=42026.039.307———————
TPA2026.039.333———————
GTA2026.039.346———————
GQA2026.039.427———————
MHA2026.039.434———————
MFA2026.039.506———————
MQA2026.039.533———————
MuownScale=2.7B, Learning Rate (η)=2 × 10−3, Weight Decay (λ)=02026.059.57———————
MuownScale=2.7B, Learning Rate (η)=1 × 10−3, Weight Decay (λ)=02026.059.63———————
MuownScale=2.7B, Learning Rate (η)=7.5 × 10−4, Weight Decay (λ)=02026.059.66———————
MuonScale=2.7B, Learning Rate (η)=1 × 10−3, Weight Decay (λ)=02026.059.82———————
MuonScale=2.7B, Learning Rate (η)=7.5 × 10−4, Weight Decay (λ)=02026.059.87———————
MuonScale=2.7B, Learning Rate (η)=7.5 × 10−4, Weight Decay (λ)=0.12026.059.96———————
MuonScale=2.7B, Learning Rate (η)=1 × 10−3, Weight Decay (λ)=0.12026.0510.01———————
MuownScale=1B, Learning Rate (η)=3 × 10−3, Weight Decay (λ)=02026.0511.9———————
MuownScale=1B, Learning Rate (η)=2 × 10−3, Weight Decay (λ)=02026.0511.93———————
TransformerSize=1.3B2026.0511.95———————
MuownScale=1B, Learning Rate (η)=1 × 10−3, Weight Decay (λ)=02026.0512.01———————
Attractor ModelSize=770M2026.0512.09———————
MuownScale=1B, Learning Rate (η)=5 × 10−4, Weight Decay (λ)=02026.0512.18———————
MuonScale=1B, Learning Rate (η)=2 × 10−3, Weight Decay (λ)=02026.0512.2———————
MuonScale=1B, Learning Rate (η)=1 × 10−3, Weight Decay (λ)=0.12026.0512.27———————
MuonScale=1B, Learning Rate (η)=1 × 10−3, Weight Decay (λ)=02026.0512.32———————
MuonScale=1B, Learning Rate (η)=2 × 10−3, Weight Decay (λ)=0.12026.0512.33———————
MuonScale=1B, Learning Rate (η)=5 × 10−4, Weight Decay (λ)=0.12026.0512.35———————
SoftMuonModel=SmolLM2-360M, Batch size=512, Sequence length=1024, Epochs=12026.0512.387———————
MuonScale=1B, Learning Rate (η)=5 × 10−4, Weight Decay (λ)=02026.0512.44———————
ParcaeSize=770M2026.0512.49———————
MuonModel=SmolLM2-360M, Batch size=512, Sequence length=1024, Epochs=12026.0512.541———————
AdamWScale=1B, Learning Rate (η)=2 × 10−3, Weight Decay (λ)=0.12026.0512.69———————
AdamWScale=1B, Learning Rate (η)=5 × 10−4, Weight Decay (λ)=0.12026.0512.85———————
AdamWScale=1B, Learning Rate (η)=1 × 10−3, Weight Decay (λ)=0.12026.0512.93———————
TransformerSize=770M2026.0513.08———————
Attractor ModelSize=370M2026.0514.03———————
ParcaeSize=370M2026.0514.49———————
TransformerSize=370M2026.0515.79———————
Delta BlockScale=7.57B (d=4096, L=36), Steps=10K, Sequence Length=2048, Batch Size=64, Hardware=8×H100 FSDP, Precision=BF16, Software=torch.compile, Gradient Checkpointing=true2026.05162.773———2.82814,00042.7
BaselineScale=7.57B (d=4096, L=36), Steps=10K, Sequence Length=2048, Batch Size=64, Hardware=8×H100 FSDP, Precision=BF16, Software=torch.compile, Gradient Checkpointing=true2026.0517.432.858———2.91821,40041.6
Attractor ModelSize=140M2026.0518.3———————
AttnResScale=7.57B (d=4096, L=36), Steps=10K, Sequence Length=2048, Batch Size=64, Hardware=8×H100 FSDP, Precision=BF16, Software=torch.compile, Gradient Checkpointing=true2026.0518.582.922———2.98412,50044
ParcaeSize=140M2026.0519.06———————
TransformerSize=140M2026.0521.48———————
MuonScale=1B, Learning Rate (η)=3 × 10−3, Weight Decay (λ)=0.12026.0544.89———————
MuonScale=1B, Learning Rate (η)=3 × 10−3, Weight Decay (λ)=02026.05110.19———————
AdamWScale=1B, Learning Rate (η)=3 × 10−3, Weight Decay (λ)=0.12026.05303.16———————
AdamWScale=125M (5.24B tok), C (PFD)=0.0462026.05—3.3721——————
AdamWScale=399M (8.92B tok), C (PFD)=0.2472026.05—2.9966——————
AdamWScale=545M (14.04B tok), C (PFD)=0.5312026.05—2.9235——————
AdamWScale=1.1B (28.54B tok), C (PFD)=2.182026.05—2.7304——————
Baseline (Dense)Params (M)=67.11, Size (MB)=256.022026.02—4.32064.3206—————
BASISRank (R)=64, Seq. Memory Compression=1x (Sanity Check)2026.03—6.573——————
BASISRank (R)=32, Seq. Memory Compression=2x2026.03—6.575——————
BASISRank (R)=16, Seq. Memory Compression=4x2026.03—6.675——————
BASISRank (R)=8, Seq. Memory Compression=8x2026.03—6.762——————
BASISRank (R)=1, Seq. Memory Compression=64x (Maximal)2026.03—7.221——————
Exact BackpropagationRank (R)=N/A, Seq. Memory Compression=1x (None)2026.03—6.616——————
Hash-300KConfig=Hash-300K, Throughput (tok/s)=~1917, Params=313,567,2322026.01—4.4825——0.08———
Hash-500KConfig=Hash-500K, Throughput (tok/s)=~1910, Params=313,567,2322026.01—4.4809—0.00820.07———
Hash-800KConfig=Hash-800K, Throughput (tok/s)=~1917, Params=313,567,2322026.01—4.4961——0.08———
HCModel Scale=M2026.03—3.288——————
HCModel Scale=L2026.03—3.111——————
mHCModel Scale=M2026.03—3.255——————
mHCModel Scale=L2026.03—3.009——————
mHC-liteModel Scale=M2026.03—3.254——————
mHC-liteModel Scale=L2026.03—3.006——————
Muon + MoonlightScale=125M (5.24B tok), C (PFD)=0.0462026.05—3.2319——————
Muon + MoonlightScale=399M (8.92B tok), C (PFD)=0.2472026.05—2.9183——————
Muon + MoonlightScale=545M (14.04B tok), C (PFD)=0.5312026.05—2.813——————
Muon + MoonlightScale=1.1B (28.54B tok), C (PFD)=2.182026.05—2.636——————
Nine-100/400KConfig=Nine-100/400K, Throughput (tok/s)=~1693, Params=313,567,2322026.01—4.4799—0.01230.1———
Nine-20/480KConfig=Nine-20/480K, Throughput (tok/s)=~1670, Params=313,567,2322026.01—4.4872——0.17———
Nine-50/450KConfig=Nine-50/450K, Throughput (tok/s)=~1670, Params=313,567,2322026.01—4.4942——0.12———
OrScale-LMScale=125M (5.24B tok), C (PFD)=0.0462026.05—3.212——————
OrScale-LMScale=399M (8.92B tok), C (PFD)=0.2472026.05—2.9247——————
OrScale-LMScale=545M (14.04B tok), C (PFD)=0.5312026.05—2.8049——————
OrScale-LMScale=1.1B (28.54B tok), C (PFD)=2.182026.05—2.6251——————
RCModel Scale=M2026.03—3.325——————
RCModel Scale=L2026.03—3.048——————
sHCModel Scale=M2026.03—3.233——————
sHCModel Scale=L2026.03—3.003——————
Surgical HybridParams (M)=62.53, Size (MB)=238.542026.02—4.28384.2838—————