developer_uid: bogoconic1
submission_id: bogoconic1-nemo-280k-s6_45055_v2
model_name: bogoconic1-nemo-280k-s6_45055_v2
model_group: bogoconic1/nemo-280k-s60
status: torndown
timestamp: 2025-05-02T00:07:11+00:00
num_battles: 7324
num_wins: 3538
celo_rating: 1265.27
family_friendly_score: 0.5880000000000001
family_friendly_standard_error: 0.00696068962100739
submission_type: basic
model_repo: bogoconic1/nemo-280k-s600-chai-step600
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6127233879104061, 'latency_mean': 1.6319964194297791, 'latency_p50': 1.6371523141860962, 'latency_p90': 1.7994753837585449}, {'batch_size': 3, 'throughput': 1.1232140164678421, 'latency_mean': 2.658534107208252, 'latency_p50': 2.6517921686172485, 'latency_p90': 2.935766005516052}, {'batch_size': 5, 'throughput': 1.3549478783774513, 'latency_mean': 3.6697199857234954, 'latency_p50': 3.671566963195801, 'latency_p90': 4.048462343215943}, {'batch_size': 6, 'throughput': 1.4165043811907154, 'latency_mean': 4.20687264084816, 'latency_p50': 4.180339813232422, 'latency_p90': 4.790426659584045}, {'batch_size': 8, 'throughput': 1.482995976849982, 'latency_mean': 5.34781986951828, 'latency_p50': 5.3410844802856445, 'latency_p90': 6.0912935256958}, {'batch_size': 10, 'throughput': 1.5233296369420046, 'latency_mean': 6.522691487073899, 'latency_p50': 6.509709715843201, 'latency_p90': 7.2877013206481935}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: bogoconic1-nemo-280k-s6_45055_v2
is_internal_developer: False
language_model: bogoconic1/nemo-280k-s600-chai-step600
model_size: 13B
ranking_group: single
throughput_3p7s: 1.37
us_pacific_date: 2025-05-01
win_ratio: 0.4830693610049153
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name bogoconic1-nemo-280k-s6-45055-v2-mkmlizer
Waiting for job on bogoconic1-nemo-280k-s6-45055-v2-mkmlizer to finish
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║     _____            __           __                                ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║       /___/                                                         ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║  Version: 0.12.8                                                    ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║  https://mk1.ai                                                     ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║  belonging to:                                                      ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║  Chai Research Corp.                                                ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ║                                                                     ║
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: Downloaded to shared memory in 39.607s
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptlmyontv, device:0
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: quantized model in 36.716s
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: Processed model bogoconic1/nemo-280k-s600-chai-step600 in 76.324s
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-45055-v2
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-45055-v2/config.json
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-45055-v2/special_tokens_map.json
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-45055-v2/tokenizer_config.json
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-45055-v2/tokenizer.json
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-s6-45055-v2/flywheel_model.0.safetensors
bogoconic1-nemo-280k-s6-45055-v2-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 29.89it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:07, 48.04it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:08, 42.81it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:08, 41.61it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:07, 47.16it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:07, 41.81it/s]
Loading 0:  12%|█▏        | 42/363 [00:01<00:07, 40.64it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 45.67it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:07, 42.67it/s]
Loading 0:  17%|█▋        | 60/363 [00:01<00:06, 44.38it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:10, 28.48it/s]
Loading 0:  20%|█▉        | 71/363 [00:01<00:08, 34.12it/s]
Loading 0:  21%|██        | 76/363 [00:01<00:08, 35.60it/s]
Loading 0:  22%|██▏       | 81/363 [00:02<00:07, 37.34it/s]
Loading 0:  24%|██▎       | 86/363 [00:02<00:06, 39.99it/s]
Loading 0:  25%|██▌       | 91/363 [00:02<00:07, 34.91it/s]
Loading 0:  27%|██▋       | 98/363 [00:02<00:06, 41.62it/s]
Loading 0:  28%|██▊       | 103/363 [00:02<00:06, 42.26it/s]
Loading 0:  30%|██▉       | 108/363 [00:02<00:05, 43.83it/s]
Loading 0:  31%|███       | 113/363 [00:02<00:06, 38.19it/s]
Loading 0:  33%|███▎      | 118/363 [00:02<00:06, 38.37it/s]
Loading 0:  34%|███▍      | 125/363 [00:03<00:05, 44.75it/s]
Loading 0:  36%|███▌      | 130/363 [00:03<00:05, 43.49it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:05, 43.52it/s]
Loading 0:  39%|███▊      | 140/363 [00:03<00:04, 44.87it/s]
Loading 0:  40%|███▉      | 145/363 [00:03<00:07, 27.52it/s]
Loading 0:  41%|████      | 149/363 [00:03<00:07, 28.24it/s]
Loading 0:  43%|████▎     | 156/363 [00:04<00:05, 35.85it/s]
Loading 0:  44%|████▍     | 161/363 [00:04<00:05, 37.70it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:04, 39.43it/s]
Loading 0:  47%|████▋     | 171/363 [00:04<00:04, 41.87it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:05, 35.41it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:04, 41.51it/s]
Loading 0:  52%|█████▏    | 188/363 [00:04<00:04, 41.91it/s]
Loading 0:  53%|█████▎    | 193/363 [00:04<00:04, 41.23it/s]
Loading 0:  55%|█████▍    | 199/363 [00:05<00:04, 40.41it/s]
Loading 0:  56%|█████▌    | 204/363 [00:05<00:04, 38.93it/s]
Loading 0:  58%|█████▊    | 210/363 [00:05<00:03, 41.44it/s]
Loading 0:  59%|█████▉    | 215/363 [00:05<00:03, 41.09it/s]
Loading 0:  61%|██████    | 221/363 [00:05<00:03, 45.11it/s]
Loading 0:  62%|██████▏   | 226/363 [00:05<00:04, 28.02it/s]
Loading 0:  63%|██████▎   | 230/363 [00:06<00:04, 28.15it/s]
Loading 0:  65%|██████▍   | 235/363 [00:06<00:03, 32.06it/s]
Loading 0:  66%|██████▌   | 239/363 [00:06<00:03, 31.52it/s]
Loading 0:  68%|██████▊   | 246/363 [00:06<00:03, 38.87it/s]
Loading 0:  69%|██████▉   | 251/363 [00:06<00:02, 39.92it/s]
Loading 0:  71%|███████   | 256/363 [00:06<00:02, 40.75it/s]
Loading 0:  72%|███████▏  | 261/363 [00:06<00:02, 42.98it/s]
Loading 0:  73%|███████▎  | 266/363 [00:06<00:02, 35.89it/s]
Loading 0:  75%|███████▌  | 273/363 [00:07<00:02, 43.34it/s]
Loading 0:  77%|███████▋  | 278/363 [00:07<00:01, 43.51it/s]
Loading 0:  78%|███████▊  | 283/363 [00:07<00:01, 42.35it/s]
Loading 0:  80%|███████▉  | 289/363 [00:07<00:01, 41.14it/s]
Loading 0:  81%|████████  | 294/363 [00:07<00:01, 40.83it/s]
Loading 0:  82%|████████▏ | 299/363 [00:07<00:01, 42.65it/s]
Loading 0:  84%|████████▎ | 304/363 [00:14<00:24,  2.42it/s]
Loading 0:  85%|████████▍ | 308/363 [00:14<00:17,  3.14it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:12,  4.12it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:06,  6.92it/s]
Loading 0:  90%|████████▉ | 326/363 [00:15<00:03,  9.34it/s]
Loading 0:  91%|█████████ | 331/363 [00:15<00:02, 11.80it/s]
Loading 0:  93%|█████████▎| 338/363 [00:15<00:01, 16.43it/s]
Loading 0:  95%|█████████▍| 344/363 [00:15<00:00, 20.00it/s]
Loading 0:  96%|█████████▌| 349/363 [00:15<00:00, 23.16it/s]
Loading 0:  98%|█████████▊| 356/363 [00:15<00:00, 29.56it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 32.24it/s]
                                                            

Job bogoconic1-nemo-280k-s6-45055-v2-mkmlizer completed after 104.48s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-s6-45055-v2-mkmlizer
Pipeline stage MKMLizer completed in 105.03s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-s6-45055-v2
Waiting for inference service bogoconic1-nemo-280k-s6-45055-v2 to be ready
Inference service bogoconic1-nemo-280k-s6-45055-v2 ready after 140.74806594848633s
Pipeline stage MKMLDeployer completed in 141.24s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7614758014678955s
Received healthy response to inference request in 1.0140557289123535s
Received healthy response to inference request in 1.4015064239501953s
Received healthy response to inference request in 1.2093462944030762s
Received healthy response to inference request in 1.392282485961914s
5 requests
0 failed requests
5th percentile: 1.053113842010498
10th percentile: 1.0921719551086426
20th percentile: 1.1702881813049317
30th percentile: 1.2459335327148438
40th percentile: 1.319108009338379
50th percentile: 1.392282485961914
60th percentile: 1.3959720611572266
70th percentile: 1.3996616363525392
80th percentile: 1.4735002994537354
90th percentile: 1.6174880504608153
95th percentile: 1.6894819259643554
99th percentile: 1.7470770263671875
mean time: 1.3557333469390869
Pipeline stage StressChecker completed in 8.16s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.70s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.76s
Shutdown handler de-registered
bogoconic1-nemo-280k-s6_45055_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service bogoconic1-nemo-280k-s6-45055-v2-profiler
Waiting for inference service bogoconic1-nemo-280k-s6-45055-v2-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2984.70s
Shutdown handler de-registered
bogoconic1-nemo-280k-s6_45055_v2 status is now inactive due to auto deactivation removed underperforming models
bogoconic1-nemo-280k-s6_45055_v2 status is now torndown due to DeploymentManager action