source_file stringclasses 73
values | source_kind stringclasses 2
values | gpu_name stringclasses 10
values | gpu_uuid stringclasses 11
values | seed int64 11 22 | model_key stringclasses 9
values | model_label stringclasses 9
values | actual_unique_parameters float64 150M 7.98B ⌀ | sequence_length int64 512 32.8k | batch_size float64 1 512 ⌀ | tokens_per_step float64 1.02k 131k ⌀ | status stringclasses 3
values | stable bool 1
class | warmup_steps_executed float64 11 45 ⌀ | measured_steps float64 20 20 ⌀ | median_step_time_ms float64 42.4 3.59k ⌀ | mean_based_tokens_per_second float64 3.64k 244k ⌀ | measured_robust_relative_jitter float64 0 0.06 ⌀ | tokens_per_second float64 3.64k 244k ⌀ | achieved_tflops float64 19.8 668 ⌀ | dense_bf16_peak_tflops float64 155 2.25k | model_flops_utilization_pct float64 0.88 100 ⌀ | configured_clock_dense_bf16_peak_tflops float64 181 2.25k | configured_clock_model_flops_utilization_pct float64 0.88 78 ⌀ | peak_allocated_gb float64 4.62 286 ⌀ | peak_allocated_vram_pct float64 1.61 99.6 ⌀ | peak_reserved_gb float64 4.66 287 ⌀ | peak_reserved_vram_pct float64 1.62 99.7 ⌀ | selected_sdpa_backend stringclasses 1
value | error stringclasses 553
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b200_training_seed22_v2.json | baseline_reused | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 377.149323 | 10,859.537387 | 0.001996 | 10,860.41988 | 559.556279 | 2,250 | 24.869168 | 2,250 | 24.869168 | 149.87345 | 78.261669 | 150.43081 | 78.552714 | FLASH_ATTENTION | null |
b200_training_seed22_v2.json | baseline_reused | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 638.149353 | 12,826.564477 | 0.00191 | 12,837.120278 | 661.400879 | 2,250 | 29.395595 | 2,250 | 29.395595 | 187.947867 | 98.143559 | 188.756263 | 98.565691 | FLASH_ATTENTION | null |
b200_training_seed22_v2.json | baseline_reused | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 8 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.310949 | 99.377525 | 190.446567 | 99.448343 | null | CUDA out of memory. Tried to allocate 256.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 153.81 MiB is free. Including non-PyTorch memory, this process has 178.19 GiB memory in use. Of the allocated memory 177.24 GiB is allocated by PyTorch, and 129.34 MiB is reserved by PyTorch but unallocated. If reserved ... |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 555.073151 | 3,689.19671 | 0.000619 | 3,689.603789 | 190.097712 | 2,250 | 8.448787 | 2,250 | 8.448787 | 130.836226 | 45.519551 | 131.898278 | 45.889052 | FLASH_ATTENTION | null |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 8b | 8B | 7,983,108,096 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 676.824341 | 6,050.666339 | 0.0008 | 6,051.791806 | 311.803608 | 2,250 | 13.857938 | 2,250 | 13.857938 | 149.87345 | 52.142838 | 150.43081 | 52.33675 | FLASH_ATTENTION | null |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 8b | 8B | 7,983,108,096 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 917.088776 | 8,931.442783 | 0.000357 | 8,932.61396 | 460.230846 | 2,250 | 20.454704 | 2,250 | 20.454704 | 187.947867 | 65.389401 | 188.756263 | 65.670652 | FLASH_ATTENTION | null |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 8b | 8B | 7,983,108,096 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 1,396.55072 | 11,722.269136 | 0.000866 | 11,731.76152 | 604.450002 | 2,250 | 26.864445 | 2,250 | 26.864445 | 264.096699 | 91.882527 | 265.545581 | 92.386611 | FLASH_ATTENTION | null |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 8b | 8B | 7,983,108,096 | 2,048 | 16 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.344865 | 99.622941 | 286.496129 | 99.675568 | null | CUDA out of memory. Tried to allocate 128.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 53.62 MiB is free. Including non-PyTorch memory, this process has 267.62 GiB memory in use. Of the allocated memory 266.68 GiB is allocated by PyTorch, and 124.26 MiB is reserved by PyTorch but unallocated. If reserved b... |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 555.405243 | 3,684.20488 | 0.001022 | 3,687.397672 | 189.984047 | 2,250 | 8.443735 | 2,250 | 8.443735 | 130.836226 | 45.519551 | 131.898278 | 45.889052 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 677.092102 | 6,049.678009 | 0.000498 | 6,049.398579 | 311.680303 | 2,250 | 13.852458 | 2,250 | 13.852458 | 149.87345 | 52.142838 | 150.43081 | 52.33675 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 916.951965 | 8,931.869181 | 0.000755 | 8,933.946717 | 460.299513 | 2,250 | 20.457756 | 2,250 | 20.457756 | 187.947867 | 65.389401 | 188.756263 | 65.670652 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 1,398.30542 | 11,692.595078 | 0.00323 | 11,717.039616 | 603.691493 | 2,250 | 26.830733 | 2,250 | 26.830733 | 264.096699 | 91.882527 | 265.545581 | 92.386611 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 16 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.344865 | 99.622941 | 286.496129 | 99.675568 | null | CUDA out of memory. Tried to allocate 128.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 53.62 MiB is free. Including non-PyTorch memory, this process has 267.62 GiB memory in use. Of the allocated memory 266.68 GiB is allocated by PyTorch, and 124.26 MiB is reserved by PyTorch but unallocated. If reserved b... |
rtx4090_training_seed11_v2.json | baseline_reused | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 8b | 8B | null | 2,048 | null | null | oom_during_model_build | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | null | null | null | null | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 449.69 MiB is free. Including non-PyTorch memory, this process has 23.08 GiB memory in use. Of the allocated memory 22.60 GiB is allocated by PyTorch, and 20.86 MiB is reserved by PyTorch but unallocated. If reserved but ... |
rtx4090_training_seed22_v2.json | baseline_reused | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 8b | 8B | null | 2,048 | null | null | oom_during_model_build | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | null | null | null | null | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 449.69 MiB is free. Including non-PyTorch memory, this process has 23.08 GiB memory in use. Of the allocated memory 22.60 GiB is allocated by PyTorch, and 20.86 MiB is reserved by PyTorch but unallocated. If reserved but ... |
rtx5090_training_seed11.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.991555 | 97.988339 | 33.013367 | 98.053124 | null | CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 13.88 MiB is free. Including non-PyTorch memory, this process has 31.33 GiB memory in use. Of the allocated memory 30.73 GiB is allocated by PyTorch, and 20.80 MiB is reserved by PyTorch but unallocated. If reserved but un... |
rtx5090_training_seed22.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.991555 | 97.988339 | 33.013367 | 98.053124 | null | CUDA out of memory. Tried to allocate 32.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 13.88 MiB is free. Including non-PyTorch memory, this process has 31.33 GiB memory in use. Of the allocated memory 30.73 GiB is allocated by PyTorch, and 20.80 MiB is reserved by PyTorch but unallocated. If reserved but un... |
h100_sxm_training_seed11_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.854671 | 98.632255 | 83.997229 | 98.799936 | null | CUDA out of memory. Tried to allocate 224.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 220.19 MiB is free. Including non-PyTorch memory, this process has 78.96 GiB memory in use. Of the allocated memory 78.10 GiB is allocated by PyTorch, and 135.95 MiB is reserved by PyTorch but unallocated. If reserved but... |
h100_sxm_training_seed22_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.854671 | 98.632255 | 83.997229 | 98.799936 | null | CUDA out of memory. Tried to allocate 224.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 220.19 MiB is free. Including non-PyTorch memory, this process has 78.96 GiB memory in use. Of the allocated memory 78.10 GiB is allocated by PyTorch, and 135.95 MiB is reserved by PyTorch but unallocated. If reserved but... |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 344.467148 | 5,943.629323 | 0.002649 | 5,945.414571 | 306.322784 | 989.5 | 30.95733 | 989.5 | 30.95733 | 130.886296 | 87.187339 | 131.940221 | 87.889391 | FLASH_ATTENTION | null |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 8b | 8B | 7,983,108,096 | 2,048 | 2 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 149.13747 | 99.345001 | 149.277377 | 99.438197 | null | CUDA out of memory. Tried to allocate 500.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 53.44 MiB is free. Including non-PyTorch memory, this process has 139.75 GiB memory in use. Of the allocated memory 138.90 GiB is allocated by PyTorch, and 133.42 MiB is reserved by PyTorch but unallocated. If reserved b... |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 343.613113 | 5,963.508372 | 0.004978 | 5,960.191623 | 307.084135 | 989.5 | 31.034273 | 989.5 | 31.034273 | 130.886296 | 87.187339 | 131.940221 | 87.889391 | FLASH_ATTENTION | null |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 2 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 149.13747 | 99.345001 | 149.277377 | 99.438197 | null | CUDA out of memory. Tried to allocate 500.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 53.44 MiB is free. Including non-PyTorch memory, this process has 139.75 GiB memory in use. Of the allocated memory 138.90 GiB is allocated by PyTorch, and 133.42 MiB is reserved by PyTorch but unallocated. If reserved b... |
rtx6000_ada_training_seed11_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 364.2 | null | 451.433533 | null | 50.206611 | 98.682641 | 50.224693 | 98.718182 | null | CUDA out of memory. Tried to allocate 224.00 MiB. GPU 0 has a total capacity of 47.38 GiB of which 96.50 MiB is free. Process 2308332 has 47.28 GiB memory in use. Of the allocated memory 46.76 GiB is allocated by PyTorch, and 17.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large ... |
rtx6000_ada_training_seed22_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 364.2 | null | 451.433533 | null | 50.206611 | 98.682641 | 50.224693 | 98.718182 | null | CUDA out of memory. Tried to allocate 224.00 MiB. GPU 0 has a total capacity of 47.38 GiB of which 96.50 MiB is free. Process 2312978 has 47.28 GiB memory in use. Of the allocated memory 46.76 GiB is allocated by PyTorch, and 17.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large ... |
a6000_training_seed11_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 50.63443 | 99.217185 | 50.665095 | 99.277272 | null | CUDA out of memory. Tried to allocate 56.00 MiB. GPU 0 has a total capacity of 47.53 GiB of which 14.25 MiB is free. Process 1348507 has 47.51 GiB memory in use. Of the allocated memory 47.16 GiB is allocated by PyTorch, and 29.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large t... |
a6000_training_seed22_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 50.63443 | 99.217185 | 50.665095 | 99.277272 | null | CUDA out of memory. Tried to allocate 56.00 MiB. GPU 0 has a total capacity of 47.53 GiB of which 14.25 MiB is free. Process 1380474 has 47.51 GiB memory in use. Of the allocated memory 47.16 GiB is allocated by PyTorch, and 29.24 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large t... |
rtxpro6000_server_training_seed11_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 468 | null | 468 | null | 100.78384 | 98.832927 | 100.921246 | 98.967673 | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 94.97 GiB of which 333.75 MiB is free. Including non-PyTorch memory, this process has 94.64 GiB memory in use. Of the allocated memory 93.86 GiB is allocated by PyTorch, and 131.04 MiB is reserved by PyTorch but unallocated. If reserved but... |
rtxpro6000_server_training_seed22_merged_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 8b | 8B | 7,983,108,096 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 468 | null | 468 | null | 100.78384 | 98.832927 | 100.921246 | 98.967673 | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 94.97 GiB of which 335.75 MiB is free. Including non-PyTorch memory, this process has 94.63 GiB memory in use. Of the allocated memory 93.86 GiB is allocated by PyTorch, and 131.04 MiB is reserved by PyTorch but unallocated. If reserved but... |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 8b | 8B | 7,983,108,096 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 401.806305 | 10,195.282541 | 0.000979 | 10,193.96647 | 562.160613 | 2,250 | 24.984916 | 2,250 | 24.984916 | 149.892612 | 78.271675 | 150.08478 | 78.372022 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 8b | 8B | 7,983,108,096 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 683.964508 | 11,977.439163 | 0.001095 | 11,977.229671 | 660.501169 | 2,250 | 29.355608 | 2,250 | 29.355608 | 187.967381 | 98.153749 | 188.804497 | 98.590878 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 8b | 8B | 7,983,108,096 | 4,096 | 4 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.329823 | 99.387381 | 190.582882 | 99.519524 | null | CUDA out of memory. Tried to allocate 256.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 23.81 MiB is free. Including non-PyTorch memory, this process has 178.31 GiB memory in use. Of the allocated memory 177.26 GiB is allocated by PyTorch, and 241.34 MiB is reserved by PyTorch but unallocated. If reserved b... |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 8b | 8B | 7,983,108,096 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 401.48497 | 10,200.135797 | 0.000634 | 10,202.125372 | 562.610547 | 2,250 | 25.004913 | 2,250 | 25.004913 | 149.892612 | 78.271675 | 150.08478 | 78.372022 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 8b | 8B | 7,983,108,096 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 683.990265 | 11,972.671144 | 0.001877 | 11,976.778648 | 660.476297 | 2,250 | 29.354502 | 2,250 | 29.354502 | 187.967381 | 98.153749 | 188.804497 | 98.590878 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 8b | 8B | 7,983,108,096 | 4,096 | 4 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.329823 | 99.387381 | 190.582882 | 99.519524 | null | CUDA out of memory. Tried to allocate 256.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 23.81 MiB is free. Including non-PyTorch memory, this process has 178.31 GiB memory in use. Of the allocated memory 177.26 GiB is allocated by PyTorch, and 241.34 MiB is reserved by PyTorch but unallocated. If reserved b... |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 8b | 8B | 7,983,108,096 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 968.755646 | 8,453.087225 | 0.001632 | 8,456.208783 | 466.329522 | 2,250 | 20.725757 | 2,250 | 20.725757 | 187.967381 | 65.39619 | 188.708028 | 65.653871 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 8b | 8B | 7,983,108,096 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 1,483.016235 | 11,048.343735 | 0.000433 | 11,047.75498 | 609.24398 | 2,250 | 27.07751 | 2,250 | 27.07751 | 264.116853 | 91.889539 | 265.612689 | 92.409959 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 8b | 8B | 7,983,108,096 | 4,096 | 8 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.229538 | 99.582817 | 286.45838 | 99.662434 | null | CUDA out of memory. Tried to allocate 128.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 69.62 MiB is free. Including non-PyTorch memory, this process has 267.61 GiB memory in use. Of the allocated memory 266.57 GiB is allocated by PyTorch, and 218.24 MiB is reserved by PyTorch but unallocated. If reserved b... |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 8b | 8B | 7,983,108,096 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 968.294281 | 8,459.572739 | 0.000394 | 8,460.237926 | 466.551715 | 2,250 | 20.735632 | 2,250 | 20.735632 | 187.967381 | 65.39619 | 188.708028 | 65.653871 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 8b | 8B | 7,983,108,096 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 1,484.187988 | 11,038.229283 | 0.000579 | 11,039.032878 | 608.762988 | 2,250 | 27.056133 | 2,250 | 27.056133 | 264.116853 | 91.889539 | 265.612689 | 92.409959 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 8b | 8B | 7,983,108,096 | 4,096 | 8 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.229538 | 99.582817 | 286.45838 | 99.662434 | null | CUDA out of memory. Tried to allocate 128.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 69.62 MiB is free. Including non-PyTorch memory, this process has 267.61 GiB memory in use. Of the allocated memory 266.57 GiB is allocated by PyTorch, and 218.24 MiB is reserved by PyTorch but unallocated. If reserved b... |
h200_context_frontier_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 8b | 8B | 7,983,108,096 | 4,096 | 1 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.89436 | 99.183058 | 149.078147 | 99.305484 | null | CUDA out of memory. Tried to allocate 500.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 305.44 MiB is free. Including non-PyTorch memory, this process has 139.50 GiB memory in use. Of the allocated memory 138.67 GiB is allocated by PyTorch, and 115.27 MiB is reserved by PyTorch but unallocated. If reserved ... |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 8b | 8B | 7,983,108,096 | 4,096 | 1 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.89436 | 99.183058 | 149.078147 | 99.305484 | null | CUDA out of memory. Tried to allocate 500.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 305.44 MiB is free. Including non-PyTorch memory, this process has 139.50 GiB memory in use. Of the allocated memory 138.67 GiB is allocated by PyTorch, and 115.27 MiB is reserved by PyTorch but unallocated. If reserved ... |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 8b | 8B | 7,983,108,096 | 8,192 | 1 | 8,192 | complete | true | 11 | 20 | 785.518982 | 10,427.5856 | 0.000909 | 10,428.774082 | 650.694632 | 2,250 | 28.919761 | 2,250 | 28.919761 | 188.005384 | 98.173593 | 188.219392 | 98.285345 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 8b | 8B | 7,983,108,096 | 8,192 | 2 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.099071 | 99.266885 | 190.536745 | 99.495432 | null | CUDA out of memory. Tried to allocate 128.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 67.81 MiB is free. Including non-PyTorch memory, this process has 178.27 GiB memory in use. Of the allocated memory 177.04 GiB is allocated by PyTorch, and 417.40 MiB is reserved by PyTorch but unallocated. If reserved b... |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 8b | 8B | 7,983,108,096 | 8,192 | 1 | 8,192 | complete | true | 11 | 20 | 786.477234 | 10,411.444169 | 0.00178 | 10,416.067557 | 649.901819 | 2,250 | 28.884525 | 2,250 | 28.884525 | 188.005384 | 98.173593 | 188.219392 | 98.285345 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 8b | 8B | 7,983,108,096 | 8,192 | 2 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.099071 | 99.266885 | 190.536745 | 99.495432 | null | CUDA out of memory. Tried to allocate 128.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 67.81 MiB is free. Including non-PyTorch memory, this process has 178.27 GiB memory in use. Of the allocated memory 177.04 GiB is allocated by PyTorch, and 417.40 MiB is reserved by PyTorch but unallocated. If reserved b... |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 8b | 8B | 7,983,108,096 | 8,192 | 1 | 8,192 | complete | true | 11 | 20 | 1,067.783875 | 7,672.001006 | 0.000174 | 7,671.96452 | 478.685806 | 2,250 | 21.274925 | 2,250 | 21.274925 | 188.005384 | 65.409412 | 188.219392 | 65.483868 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 8b | 8B | 7,983,108,096 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 1,676.493774 | 9,770.854478 | 0.000477 | 9,772.77712 | 609.764251 | 2,250 | 27.100633 | 2,250 | 27.100633 | 264.155242 | 91.902895 | 265.65673 | 92.425281 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 8b | 8B | 7,983,108,096 | 8,192 | 4 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.267319 | 99.595962 | 286.50242 | 99.677756 | null | CUDA out of memory. Tried to allocate 128.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 27.62 MiB is free. Including non-PyTorch memory, this process has 267.65 GiB memory in use. Of the allocated memory 266.61 GiB is allocated by PyTorch, and 224.21 MiB is reserved by PyTorch but unallocated. If reserved b... |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 8b | 8B | 7,983,108,096 | 8,192 | 1 | 8,192 | complete | true | 11 | 20 | 1,067.429138 | 7,673.905348 | 0.000474 | 7,674.514126 | 478.844887 | 2,250 | 21.281995 | 2,250 | 21.281995 | 188.005384 | 65.409412 | 188.219392 | 65.483868 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 8b | 8B | 7,983,108,096 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 1,676.210571 | 9,771.678878 | 0.00068 | 9,774.428273 | 609.867273 | 2,250 | 27.105212 | 2,250 | 27.105212 | 264.155242 | 91.902895 | 265.65673 | 92.425281 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 8b | 8B | 7,983,108,096 | 8,192 | 4 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.267319 | 99.595962 | 286.50242 | 99.677756 | null | CUDA out of memory. Tried to allocate 128.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 27.62 MiB is free. Including non-PyTorch memory, this process has 267.65 GiB memory in use. Of the allocated memory 266.61 GiB is allocated by PyTorch, and 224.21 MiB is reserved by PyTorch but unallocated. If reserved b... |
h200_context_frontier_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 8b | 8B | 7,983,108,096 | 8,192 | 1 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 149.022615 | 99.268492 | 149.294154 | 99.449373 | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 79.44 MiB is free. Including non-PyTorch memory, this process has 139.72 GiB memory in use. Of the allocated memory 138.79 GiB is allocated by PyTorch, and 218.96 MiB is reserved by PyTorch but unallocated. If reserved b... |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 8b | 8B | 7,983,108,096 | 8,192 | 1 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 149.022615 | 99.268492 | 149.294154 | 99.449373 | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 79.44 MiB is free. Including non-PyTorch memory, this process has 139.72 GiB memory in use. Of the allocated memory 138.79 GiB is allocated by PyTorch, and 218.96 MiB is reserved by PyTorch but unallocated. If reserved b... |
b200_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 8b | 8B | 7,983,108,096 | 16,384 | 1 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.507391 | 99.480104 | 190.576591 | 99.516239 | null | CUDA out of memory. Tried to allocate 128.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 31.81 MiB is free. Including non-PyTorch memory, this process has 178.31 GiB memory in use. Of the allocated memory 177.42 GiB is allocated by PyTorch, and 63.99 MiB is reserved by PyTorch but unallocated. If reserved bu... |
b200_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 8b | 8B | 7,983,108,096 | 16,384 | 1 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.507391 | 99.480104 | 190.576591 | 99.516239 | null | CUDA out of memory. Tried to allocate 128.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 31.81 MiB is free. Including non-PyTorch memory, this process has 178.31 GiB memory in use. Of the allocated memory 177.42 GiB is allocated by PyTorch, and 63.99 MiB is reserved by PyTorch but unallocated. If reserved bu... |
b300_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 11 | 8b | 8B | 7,983,108,096 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 2,057.640503 | 7,962.676756 | 0.000326 | 7,962.518223 | 612.235461 | 2,250 | 27.210465 | 2,250 | 27.210465 | 264.230928 | 91.929227 | 264.985641 | 92.191801 | FLASH_ATTENTION | null |
b300_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 11 | 8b | 8B | 7,983,108,096 | 16,384 | 2 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 285.38645 | 99.289496 | 286.397563 | 99.641275 | null | CUDA out of memory. Tried to allocate 256.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 127.62 MiB is free. Including non-PyTorch memory, this process has 267.55 GiB memory in use. Of the allocated memory 265.79 GiB is allocated by PyTorch, and 964.27 MiB is reserved by PyTorch but unallocated. If reserved ... |
b300_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 22 | 8b | 8B | 7,983,108,096 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 2,057.765625 | 7,961.642055 | 0.000451 | 7,962.034063 | 612.198234 | 2,250 | 27.20881 | 2,250 | 27.20881 | 264.230928 | 91.929227 | 264.985641 | 92.191801 | FLASH_ATTENTION | null |
b300_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 22 | 8b | 8B | 7,983,108,096 | 16,384 | 2 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 285.38645 | 99.289496 | 286.397563 | 99.641275 | null | CUDA out of memory. Tried to allocate 256.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 127.62 MiB is free. Including non-PyTorch memory, this process has 267.55 GiB memory in use. Of the allocated memory 265.79 GiB is allocated by PyTorch, and 964.27 MiB is reserved by PyTorch but unallocated. If reserved ... |
b300_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 11 | 8b | 8B | 7,983,108,096 | 32,768 | 1 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.056972 | 99.522779 | 286.187848 | 99.568313 | null | CUDA out of memory. Tried to allocate 896.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 387.62 MiB is free. Including non-PyTorch memory, this process has 267.29 GiB memory in use. Of the allocated memory 266.41 GiB is allocated by PyTorch, and 64.81 MiB is reserved by PyTorch but unallocated. If reserved b... |
b300_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 22 | 8b | 8B | 7,983,108,096 | 32,768 | 1 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.056972 | 99.522779 | 286.187848 | 99.568313 | null | CUDA out of memory. Tried to allocate 896.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 387.62 MiB is free. Including non-PyTorch memory, this process has 267.29 GiB memory in use. Of the allocated memory 266.41 GiB is allocated by PyTorch, and 64.81 MiB is reserved by PyTorch but unallocated. If reserved b... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.