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3.74
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float64
8.89
8.89
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float64
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tensor:shape=[8,16];dtype=float32;target_mml=0.1875;ops:transpose,prune0.2,matmul,prune0.4,relu,gelu
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.17
3.415
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,64];dtype=float32;target_mml=0.1938;ops:prune0.2,quant8,matmul,prune0.4,transpose,lowrank
matmul[lowrank:32] -> relu -> quant:4bit -> prune:0.4 -> score:0.17
3.3674
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,88];dtype=float16;target_mml=0.1529;ops:matmul,lowrank,quant8,transpose,prune0.2
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.7093
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,128];dtype=float32;target_mml=0.1847;ops:quant8,quant4,lowrank,prune0.4,relu
matmul[lowrank:16] -> relu -> quant:4bit -> prune:0.4 -> score:0.16
3.4367
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,88];dtype=int8;target_mml=0.1507;ops:prune0.4,matmul,quant8,gelu,quant4
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.7302
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,32];dtype=float16;target_mml=0.1778;ops:quant8,relu,transpose,gelu,prune0.4
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.16
3.4917
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,64];dtype=int8;target_mml=0.1823;ops:lowrank,quant8,prune0.4,quant4
matmul[lowrank:32] -> relu -> quant:4bit -> prune:0.4 -> score:0.16
3.4556
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,64];dtype=float16;target_mml=0.1971;ops:quant8,prune0.4,quant4,lowrank,prune0.2
matmul[lowrank:16] -> gelu -> quant:4bit -> prune:0.4 -> score:0.18
3.343
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,128];dtype=int8;target_mml=0.1601;ops:quant4,lowrank,prune0.2,gelu
matmul[lowrank:16] -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.643
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,16];dtype=int8;target_mml=0.1931;ops:relu,transpose,matmul,lowrank,quant4,prune0.2
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.17
3.3726
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,64];dtype=int8;target_mml=0.1838;ops:prune0.2,prune0.4,relu,transpose,quant8
matmul[lowrank:32] -> relu -> quant:4bit -> prune:0.4 -> score:0.16
3.4438
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[88,8];dtype=float16;target_mml=0.1577;ops:matmul,gelu,quant4,transpose,lowrank,relu
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.6647
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,8];dtype=int8;target_mml=0.1781;ops:matmul,relu,quant4,gelu,quant8,prune0.2
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.16
3.4892
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,32];dtype=float32;target_mml=0.1529;ops:matmul,quant8,relu,quant4,gelu
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.7093
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,32];dtype=float16;target_mml=0.1874;ops:relu,prune0.2,lowrank,quant4,prune0.4
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.17
3.4158
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,32];dtype=float32;target_mml=0.1891;ops:transpose,quant4,prune0.4,quant8,lowrank,prune0.2
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.17
3.4028
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,128];dtype=int8;target_mml=0.1982;ops:quant4,matmul,prune0.4,transpose
matmul[lowrank:32] -> gelu -> quant:4bit -> prune:0.4 -> score:0.18
3.335
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,64];dtype=float16;target_mml=0.199;ops:prune0.4,transpose,prune0.2,quant8
matmul[lowrank:32] -> gelu -> quant:4bit -> prune:0.4 -> score:0.18
3.3292
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,16];dtype=float16;target_mml=0.187;ops:gelu,matmul,lowrank,prune0.4,transpose
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.17
3.4189
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,8];dtype=float16;target_mml=0.2031;ops:quant8,gelu,prune0.4,quant4,relu
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.18
3.2997
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[88,8];dtype=float16;target_mml=0.1933;ops:quant4,prune0.2,quant8,matmul,lowrank,prune0.4
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.17
3.3711
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,16];dtype=int8;target_mml=0.1593;ops:relu,quant8,matmul,transpose,lowrank
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.6502
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,16];dtype=float16;target_mml=0.202;ops:relu,prune0.4,transpose,prune0.2,quant8,lowrank
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.18
3.3076
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,16];dtype=int8;target_mml=0.1729;ops:prune0.2,quant4,quant8,transpose
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.532
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,32];dtype=float32;target_mml=0.1649;ops:gelu,prune0.4,quant4,relu,matmul,quant8
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.6003
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,32];dtype=float32;target_mml=0.2004;ops:matmul,relu,transpose,prune0.4
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.18
3.319
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,256];dtype=float16;target_mml=0.1722;ops:matmul,quant4,transpose,prune0.4,quant8,gelu
matmul[lowrank:16] -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.5378
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,16];dtype=int8;target_mml=0.1988;ops:quant4,lowrank,transpose,prune0.2,matmul,relu
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.18
3.3306
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,8];dtype=float32;target_mml=0.166;ops:gelu,lowrank,prune0.2,quant8
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.5907
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,64];dtype=int8;target_mml=0.1973;ops:relu,matmul,prune0.2,quant8,quant4,lowrank
matmul[lowrank:16] -> relu -> quant:4bit -> prune:0.4 -> score:0.18
3.3415
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,64];dtype=float16;target_mml=0.2085;ops:lowrank,gelu,relu,quant8
matmul[lowrank:32] -> gelu -> quant:4bit -> prune:0.4 -> score:0.19
3.2619
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,32];dtype=int8;target_mml=0.1905;ops:lowrank,prune0.2,transpose,quant4
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.17
3.3921
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,16];dtype=int8;target_mml=0.1816;ops:transpose,matmul,quant4,prune0.2
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.16
3.4612
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,64];dtype=int8;target_mml=0.2054;ops:quant4,prune0.4,relu,gelu
matmul[lowrank:16] -> gelu -> quant:4bit -> prune:0.4 -> score:0.19
3.2835
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,32];dtype=int8;target_mml=0.1527;ops:lowrank,quant8,relu,gelu,matmul,prune0.4
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.7112
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,64];dtype=float32;target_mml=0.1856;ops:matmul,prune0.4,quant4,prune0.2,transpose,quant8
matmul[lowrank:32] -> relu -> quant:4bit -> prune:0.4 -> score:0.17
3.4297
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,88];dtype=int8;target_mml=0.1668;ops:quant4,lowrank,prune0.4,quant8,gelu,relu
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.5838
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,256];dtype=float16;target_mml=0.2033;ops:prune0.4,transpose,lowrank,quant4,quant8
matmul[lowrank:32] -> gelu -> quant:4bit -> prune:0.4 -> score:0.18
3.2983
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,8];dtype=float32;target_mml=0.1977;ops:prune0.4,prune0.2,transpose,quant8
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.18
3.3386
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,16];dtype=float16;target_mml=0.2067;ops:gelu,quant8,quant4,prune0.2,matmul,relu
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.19
3.2744
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,128];dtype=float32;target_mml=0.2023;ops:quant4,matmul,relu,lowrank
matmul[lowrank:16] -> gelu -> quant:4bit -> prune:0.4 -> score:0.18
3.3054
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,16];dtype=int8;target_mml=0.1569;ops:prune0.4,quant4,gelu,transpose
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.6721
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,64];dtype=float32;target_mml=0.1608;ops:lowrank,quant4,prune0.4,prune0.2
matmul[lowrank:32] -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.6367
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[88,8];dtype=float16;target_mml=0.1764;ops:gelu,transpose,prune0.2,quant8
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.16
3.5031
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,64];dtype=int8;target_mml=0.1541;ops:quant4,quant8,gelu,lowrank,prune0.2,prune0.4
matmul[lowrank:32] -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.6981
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,64];dtype=int8;target_mml=0.1609;ops:quant8,quant4,gelu,relu
matmul[lowrank:32] -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.6358
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,88];dtype=int8;target_mml=0.1608;ops:gelu,lowrank,prune0.4,prune0.2,relu,transpose
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.6367
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,16];dtype=int8;target_mml=0.1936;ops:quant4,lowrank,transpose,gelu
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.17
3.3688
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[88,8];dtype=int8;target_mml=0.1674;ops:gelu,quant8,quant4,prune0.2,prune0.4
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.5786
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,256];dtype=int8;target_mml=0.1981;ops:matmul,prune0.4,gelu,relu
matmul[lowrank:32] -> gelu -> quant:4bit -> prune:0.4 -> score:0.18
3.3357
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[88,8];dtype=int8;target_mml=0.1844;ops:prune0.4,matmul,prune0.2,quant8,relu
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.16
3.4391
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,88];dtype=int8;target_mml=0.1774;ops:transpose,quant8,quant4,relu
matmul[lowrank:32] -> gelu -> quant:4bit -> prune:0.4 -> score:0.16
3.4949
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,88];dtype=int8;target_mml=0.1535;ops:matmul,relu,transpose,lowrank,quant8
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.7037
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,64];dtype=float32;target_mml=0.1999;ops:quant8,lowrank,transpose,relu,prune0.4,prune0.2
matmul[lowrank:16] -> gelu -> quant:4bit -> prune:0.4 -> score:0.18
3.3226
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,32];dtype=float16;target_mml=0.1678;ops:matmul,prune0.2,lowrank,quant8
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.5752
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,8];dtype=int8;target_mml=0.1969;ops:quant4,lowrank,prune0.2,relu,prune0.4,quant8
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.18
3.3445
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,88];dtype=float32;target_mml=0.1867;ops:matmul,relu,gelu,quant4,prune0.2
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.17
3.4212
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,88];dtype=int8;target_mml=0.1769;ops:matmul,gelu,lowrank,relu
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.16
3.499
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[88,8];dtype=float32;target_mml=0.1509;ops:quant4,transpose,quant8,lowrank,gelu
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.7283
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,256];dtype=float32;target_mml=0.167;ops:lowrank,quant8,prune0.4,relu,matmul,gelu
matmul[lowrank:16] -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.5821
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,16];dtype=float16;target_mml=0.1584;ops:transpose,gelu,relu,prune0.4,prune0.2
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.6584
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[88,8];dtype=int8;target_mml=0.1982;ops:quant4,matmul,relu,transpose,prune0.4
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.18
3.335
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,88];dtype=float32;target_mml=0.1595;ops:transpose,prune0.2,quant4,relu,matmul,quant8
matmul[lowrank:16] -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.6484
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,32];dtype=float32;target_mml=0.1606;ops:matmul,lowrank,relu,prune0.4
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.6385
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,128];dtype=float16;target_mml=0.1532;ops:matmul,prune0.2,lowrank,prune0.4,quant8
matmul[lowrank:16] -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.7065
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,88];dtype=int8;target_mml=0.1974;ops:transpose,gelu,prune0.4,relu,quant4,prune0.2
matmul[lowrank:16] -> relu -> quant:4bit -> prune:0.4 -> score:0.18
3.3408
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,64];dtype=float16;target_mml=0.1751;ops:transpose,lowrank,gelu,quant4,relu
matmul[lowrank:16] -> gelu -> quant:4bit -> prune:0.4 -> score:0.16
3.5137
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,256];dtype=float16;target_mml=0.1732;ops:quant8,prune0.2,gelu,matmul,lowrank,transpose
matmul[lowrank:32] -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.5295
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[88,8];dtype=int8;target_mml=0.1551;ops:matmul,lowrank,prune0.4,transpose,quant8,quant4
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.6887
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,128];dtype=int8;target_mml=0.1623;ops:transpose,quant8,prune0.4,prune0.2,matmul
matmul[lowrank:32] -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.6233
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,256];dtype=float16;target_mml=0.1924;ops:relu,prune0.4,quant4,gelu
matmul[lowrank:32] -> relu -> quant:4bit -> prune:0.4 -> score:0.17
3.3778
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,32];dtype=int8;target_mml=0.1687;ops:gelu,transpose,prune0.2,lowrank,matmul
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.5675
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,64];dtype=float16;target_mml=0.158;ops:relu,lowrank,quant8,transpose,gelu
matmul[lowrank:32] -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.662
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,32];dtype=int8;target_mml=0.193;ops:transpose,prune0.4,matmul,prune0.2,quant8,quant4
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.17
3.3733
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,16];dtype=int8;target_mml=0.1523;ops:lowrank,matmul,prune0.2,prune0.4
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.715
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[88,8];dtype=int8;target_mml=0.1659;ops:quant8,gelu,transpose,matmul,relu
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.5916
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,8];dtype=float16;target_mml=0.1617;ops:gelu,lowrank,quant4,prune0.2,matmul,transpose
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.6286
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,88];dtype=int8;target_mml=0.1622;ops:quant4,gelu,prune0.2,transpose,matmul
matmul[lowrank:16] -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.6242
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,32];dtype=float16;target_mml=0.205;ops:gelu,prune0.4,prune0.2,quant8,transpose
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.18
3.2863
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,128];dtype=int8;target_mml=0.1846;ops:transpose,prune0.4,quant4,gelu,relu,lowrank
matmul[lowrank:16] -> gelu -> quant:4bit -> prune:0.4 -> score:0.16
3.4375
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,64];dtype=float32;target_mml=0.1648;ops:quant8,lowrank,matmul,prune0.4
matmul[lowrank:32] -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.6012
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,16];dtype=float16;target_mml=0.1646;ops:quant4,relu,prune0.4,gelu,quant8
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.603
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,88];dtype=float32;target_mml=0.1522;ops:quant4,matmul,transpose,gelu,prune0.4,quant8
matmul[lowrank:16] -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.716
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,16];dtype=float16;target_mml=0.1919;ops:gelu,prune0.2,relu,matmul,lowrank,transpose
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.17
3.3816
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,128];dtype=float16;target_mml=0.2059;ops:lowrank,matmul,quant8,relu,quant4,transpose
matmul[lowrank:16] -> gelu -> quant:4bit -> prune:0.4 -> score:0.19
3.28
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,88];dtype=float16;target_mml=0.1776;ops:lowrank,quant8,transpose,prune0.2,gelu
matmul[lowrank:16] -> relu -> quant:4bit -> prune:0.4 -> score:0.16
3.4933
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,32];dtype=int8;target_mml=0.2063;ops:gelu,relu,quant4,transpose,prune0.4,quant8
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.19
3.2772
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,128];dtype=float16;target_mml=0.157;ops:gelu,relu,prune0.4,matmul,quant8
matmul[lowrank:32] -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.6712
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,88];dtype=float32;target_mml=0.1761;ops:prune0.4,prune0.2,gelu,relu
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.16
3.5055
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,88];dtype=int8;target_mml=0.1591;ops:prune0.4,matmul,relu,gelu,transpose
matmul[lowrank:16] -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.652
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[64,64];dtype=float16;target_mml=0.157;ops:gelu,transpose,lowrank,quant8,matmul,prune0.4
matmul[lowrank:32] -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.6712
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,16];dtype=float32;target_mml=0.2059;ops:lowrank,quant8,transpose,prune0.2,matmul,relu
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.19
3.28
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[88,8];dtype=int8;target_mml=0.1854;ops:gelu,lowrank,relu,transpose
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.17
3.4313
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,88];dtype=float16;target_mml=0.173;ops:prune0.2,lowrank,quant8,quant4
matmul[lowrank:32] -> gelu -> quant:4bit -> prune:0.4 -> score:0.15
3.5312
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,256];dtype=float16;target_mml=0.202;ops:prune0.4,quant4,matmul,lowrank,quant8,gelu
matmul[lowrank:32] -> gelu -> quant:4bit -> prune:0.4 -> score:0.18
3.3076
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[16,32];dtype=float16;target_mml=0.1798;ops:gelu,quant4,matmul,quant8
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.16
3.4755
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,256];dtype=int8;target_mml=0.1908;ops:transpose,relu,quant8,matmul,prune0.4
matmul[lowrank:32] -> relu -> quant:4bit -> prune:0.4 -> score:0.17
3.3899
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[32,32];dtype=int8;target_mml=0.2076;ops:matmul,transpose,relu,prune0.4,lowrank
matmul -> gelu -> quant:4bit -> prune:0.4 -> score:0.19
3.2681
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,256];dtype=int8;target_mml=0.1696;ops:prune0.2,lowrank,quant4,quant8
matmul[lowrank:16] -> relu -> quant:4bit -> prune:0.4 -> score:0.15
3.5598
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
tensor:shape=[8,88];dtype=int8;target_mml=0.1752;ops:prune0.4,quant4,prune0.2,lowrank
matmul -> relu -> quant:4bit -> prune:0.4 -> score:0.16
3.5129
PoT-O/TribeWarez-Quantum88-PlanckTensor
8.888888
true
8.88
devtools/realms-devkit Part I Planck + Part IV tensor network toy scales
End of preview. Expand in Data Studio

pot-o-quantum-88

888,888 synthetic PoT-O challenges for tensor + MML path optimization in a Planck–tensor–realm lineage used to probe REALMS / realms-devkit themes: Planck-scale framing (Part I), tensor-network / entropy toy scales (Part IV §3–§4), and coarse-resolution “realm” tensor shapes (including 8×8 and 88×8-style blocks).

Program scale (8.88M lineage): each row carries nominal_lineage_M: 8.88 (documentation of the Quantum-88 / 8.88M Tribewarez program scale). This dataset shard size is 888,888 rows (not 8.88×10⁶ full split).

Record schema

Field Meaning
challenge Classic PoT-O line: tensor:shape=[M,N];dtype=...;target_mml=...;ops:...
optimal_path Heuristic MML-style path + score:
difficulty From target_mml
source PoT-O/TribeWarez-Quantum88-PlanckTensor
param_signature 8.888888 (quantum-88 lineage constant)
planck_tensor_realm true — tensor pool uses Planck-realm / “88” shapes
nominal_lineage_M 8.88 — 8.88M-scale program tag
realms_reference Pointer to devkit + manuscript stack

Generation (reproducible)

Parameters: params.json

python pot-o-quantum-88/generate.py

Or via the classic generator:

python generate_synthetic_pot_o_challenges.py \
  --num-records 888888 \
  --output pot-o-quantum-88/pot-o-quantum-88.jsonl \
  --seed 888888 \
  --target-mml-center 0.0888888 \
  --param-signature 8.888888 \
  --source PoT-O/TribeWarez-Quantum88-PlanckTensor \
  --planck-tensor-realm \
  --record-extra-json '{"nominal_lineage_M":8.88,"realms_reference":"devtools/realms-devkit Part I Planck + Part IV tensor network toy scales"}'

Proving / investigating REALMS (devkit)

Manuscript / topic devkit entry
Planck units, Bekenstein bounds 01_planck_and_bounds.ipynb
Tensor network entropy (S = \gamma
Entanglement / geometry 03_entanglement_geometry.ipynb

Manuscript (33-page REALMS): TribeWarez/realms

Hub

pip install datasets huggingface_hub
huggingface-cli login
python pot-o-quantum-88/upload_dataset.py

Related

MIT — Tribewarez guild — live beta.

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