developer_uid: chai_backend_admin
submission_id: chaiml-dante-sparda-dev_53570_v1
model_name: chaiml-dante-sparda-dev_53570_v1
model_group: ChaiML/Dante-Sparda-Devi
status: torndown
timestamp: 2025-05-12T23:21:04+00:00
num_battles: 6546
num_wins: 3378
celo_rating: 1292.83
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/Dante-Sparda-Devil-May-Cry_cursed-prin250512160447_sft
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.5327817451036969, 'latency_mean': 1.876885792016983, 'latency_p50': 1.8741443157196045, 'latency_p90': 2.073122000694275}, {'batch_size': 3, 'throughput': 1.0850508356037252, 'latency_mean': 2.7572268664836885, 'latency_p50': 2.7796757221221924, 'latency_p90': 3.04868905544281}, {'batch_size': 5, 'throughput': 1.389007862315809, 'latency_mean': 3.57695596575737, 'latency_p50': 3.602723717689514, 'latency_p90': 4.000727415084839}, {'batch_size': 6, 'throughput': 1.5178103665791887, 'latency_mean': 3.9298377203941346, 'latency_p50': 3.9512490034103394, 'latency_p90': 4.394413495063781}, {'batch_size': 8, 'throughput': 1.660697925068746, 'latency_mean': 4.780112677812577, 'latency_p50': 4.828550100326538, 'latency_p90': 5.3416407108306885}, {'batch_size': 10, 'throughput': 1.772125725184554, 'latency_mean': 5.597916575670243, 'latency_p50': 5.623333215713501, 'latency_p90': 6.461420249938965}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-dante-sparda-dev_53570_v1
is_internal_developer: True
language_model: ChaiML/Dante-Sparda-Devil-May-Cry_cursed-prin250512160447_sft
model_size: 24B
ranking_group: single
throughput_3p7s: 1.45
us_pacific_date: 2025-05-12
win_ratio: 0.5160403299725023
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '####', '####\n', 'You:', '</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>\n', 'user_template': 'You: {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 chaiml-dante-sparda-dev-53570-v1-mkmlizer
Waiting for job on chaiml-dante-sparda-dev-53570-v1-mkmlizer to finish
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║     _____            __           __                                ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║       /___/                                                         ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║                                                                     ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║                                                                     ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║                                                                     ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ║                                                                     ║
chaiml-dante-sparda-dev-53570-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-dante-sparda-dev-53570-v1-mkmlizer: Downloaded to shared memory in 79.718s
chaiml-dante-sparda-dev-53570-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpagh5ag5q, device:0
chaiml-dante-sparda-dev-53570-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-dante-sparda-dev-53570-v1-mkmlizer: quantized model in 54.109s
chaiml-dante-sparda-dev-53570-v1-mkmlizer: Processed model ChaiML/Dante-Sparda-Devil-May-Cry_cursed-prin250512160447_sft in 133.827s
chaiml-dante-sparda-dev-53570-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-dante-sparda-dev-53570-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-dante-sparda-dev-53570-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-dante-sparda-dev-53570-v1
chaiml-dante-sparda-dev-53570-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-dante-sparda-dev-53570-v1/config.json
chaiml-dante-sparda-dev-53570-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-dante-sparda-dev-53570-v1/special_tokens_map.json
chaiml-dante-sparda-dev-53570-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-dante-sparda-dev-53570-v1/tokenizer_config.json
chaiml-dante-sparda-dev-53570-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-dante-sparda-dev-53570-v1/tokenizer.json
chaiml-dante-sparda-dev-53570-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-dante-sparda-dev-53570-v1/flywheel_model.1.safetensors
chaiml-dante-sparda-dev-53570-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-dante-sparda-dev-53570-v1/flywheel_model.0.safetensors
chaiml-dante-sparda-dev-53570-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 4/363 [00:00<00:08, 39.98it/s]
Loading 0:   2%|▏         | 8/363 [00:00<00:12, 28.77it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:11, 31.38it/s]
Loading 0:   4%|▍         | 16/363 [00:00<00:12, 27.86it/s]
Loading 0:   6%|▌         | 21/363 [00:00<00:10, 31.62it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:11, 28.79it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:09, 36.42it/s]
Loading 0:  10%|▉         | 35/363 [00:01<00:14, 22.69it/s]
Loading 0:  11%|█         | 39/363 [00:01<00:14, 22.72it/s]
Loading 0:  12%|█▏        | 42/363 [00:01<00:14, 21.47it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:11, 26.38it/s]
Loading 0:  14%|█▍        | 51/363 [00:01<00:12, 24.30it/s]
Loading 0:  16%|█▌        | 57/363 [00:02<00:10, 28.71it/s]
Loading 0:  17%|█▋        | 61/363 [00:02<00:11, 27.34it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:10, 27.92it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:11, 24.90it/s]
Loading 0:  20%|██        | 73/363 [00:02<00:13, 21.23it/s]
Loading 0:  22%|██▏       | 79/363 [00:02<00:10, 26.21it/s]
Loading 0:  23%|██▎       | 82/363 [00:03<00:11, 25.08it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:10, 26.58it/s]
Loading 0:  25%|██▍       | 89/363 [00:03<00:10, 26.73it/s]
Loading 0:  25%|██▌       | 92/363 [00:03<00:12, 21.71it/s]
Loading 0:  27%|██▋       | 99/363 [00:03<00:09, 28.57it/s]
Loading 0:  28%|██▊       | 103/363 [00:03<00:09, 27.40it/s]
Loading 0:  29%|██▉       | 107/363 [00:04<00:10, 23.55it/s]
Loading 0:  31%|███       | 112/363 [00:04<00:09, 26.22it/s]
Loading 0:  32%|███▏      | 115/363 [00:04<00:09, 25.38it/s]
Loading 0:  33%|███▎      | 120/363 [00:04<00:08, 27.99it/s]
Loading 0:  34%|███▍      | 123/363 [00:04<00:09, 25.35it/s]
Loading 0:  36%|███▌      | 129/363 [00:04<00:07, 29.83it/s]
Loading 0:  37%|███▋      | 133/363 [00:05<00:08, 28.01it/s]
Loading 0:  38%|███▊      | 138/363 [00:05<00:07, 30.10it/s]
Loading 0:  39%|███▉      | 142/363 [00:05<00:07, 28.30it/s]
Loading 0:  40%|████      | 147/363 [00:05<00:06, 32.47it/s]
Loading 0:  42%|████▏     | 151/363 [00:05<00:08, 24.52it/s]
Loading 0:  42%|████▏     | 154/363 [00:05<00:09, 22.50it/s]
Loading 0:  43%|████▎     | 157/363 [00:05<00:08, 23.73it/s]
Loading 0:  44%|████▍     | 160/363 [00:06<00:08, 23.96it/s]
Loading 0:  45%|████▌     | 165/363 [00:06<00:07, 26.46it/s]
Loading 0:  46%|████▋     | 168/363 [00:06<00:08, 24.21it/s]
Loading 0:  48%|████▊     | 174/363 [00:06<00:06, 28.92it/s]
Loading 0:  49%|████▉     | 177/363 [00:06<00:07, 25.76it/s]
Loading 0:  50%|█████     | 182/363 [00:06<00:06, 28.18it/s]
Loading 0:  52%|█████▏    | 187/363 [00:07<00:06, 25.58it/s]
Loading 0:  52%|█████▏    | 190/363 [00:07<00:07, 23.63it/s]
Loading 0:  53%|█████▎    | 193/363 [00:07<00:06, 24.58it/s]
Loading 0:  54%|█████▍    | 196/363 [00:07<00:06, 24.83it/s]
Loading 0:  55%|█████▌    | 200/363 [00:21<00:06, 24.83it/s]
Loading 0:  55%|█████▌    | 201/363 [00:21<03:01,  1.12s/it]
Loading 0:  56%|█████▌    | 203/363 [00:22<02:29,  1.07it/s]
Loading 0:  57%|█████▋    | 208/363 [00:22<01:30,  1.72it/s]
Loading 0:  58%|█████▊    | 211/363 [00:22<01:09,  2.19it/s]
Loading 0:  59%|█████▉    | 214/363 [00:22<00:51,  2.89it/s]
Loading 0:  60%|██████    | 218/363 [00:22<00:35,  4.13it/s]
Loading 0:  61%|██████    | 221/363 [00:22<00:26,  5.26it/s]
Loading 0:  62%|██████▏   | 224/363 [00:23<00:22,  6.26it/s]
Loading 0:  63%|██████▎   | 229/363 [00:23<00:14,  9.26it/s]
Loading 0:  64%|██████▍   | 232/363 [00:23<00:11, 11.00it/s]
Loading 0:  65%|██████▌   | 237/363 [00:23<00:08, 14.77it/s]
Loading 0:  66%|██████▌   | 240/363 [00:23<00:07, 15.64it/s]
Loading 0:  68%|██████▊   | 246/363 [00:23<00:05, 20.90it/s]
Loading 0:  69%|██████▊   | 249/363 [00:23<00:05, 20.61it/s]
Loading 0:  70%|███████   | 255/363 [00:24<00:04, 25.79it/s]
Loading 0:  71%|███████▏  | 259/363 [00:24<00:04, 24.60it/s]
Loading 0:  73%|███████▎  | 264/363 [00:24<00:03, 29.34it/s]
Loading 0:  74%|███████▍  | 268/363 [00:24<00:04, 23.11it/s]
Loading 0:  75%|███████▍  | 271/363 [00:24<00:04, 21.82it/s]
Loading 0:  75%|███████▌  | 274/363 [00:24<00:03, 23.20it/s]
Loading 0:  76%|███████▋  | 277/363 [00:25<00:03, 23.80it/s]
Loading 0:  78%|███████▊  | 282/363 [00:25<00:03, 26.25it/s]
Loading 0:  79%|███████▊  | 285/363 [00:25<00:03, 24.29it/s]
Loading 0:  80%|████████  | 291/363 [00:25<00:02, 29.30it/s]
Loading 0:  81%|████████▏ | 295/363 [00:25<00:02, 27.81it/s]
Loading 0:  82%|████████▏ | 299/363 [00:25<00:02, 27.68it/s]
Loading 0:  84%|████████▎ | 304/363 [00:26<00:02, 24.66it/s]
Loading 0:  85%|████████▍ | 307/363 [00:26<00:02, 22.92it/s]
Loading 0:  85%|████████▌ | 310/363 [00:26<00:02, 24.09it/s]
Loading 0:  86%|████████▌ | 313/363 [00:26<00:02, 23.97it/s]
Loading 0:  88%|████████▊ | 318/363 [00:26<00:01, 26.90it/s]
Loading 0:  88%|████████▊ | 321/363 [00:26<00:01, 24.38it/s]
Loading 0:  90%|█████████ | 327/363 [00:26<00:01, 28.99it/s]
Loading 0:  91%|█████████ | 330/363 [00:27<00:01, 25.13it/s]
Loading 0:  92%|█████████▏| 335/363 [00:27<00:01, 27.63it/s]
Loading 0:  93%|█████████▎| 338/363 [00:27<00:00, 26.01it/s]
Loading 0:  94%|█████████▍| 341/363 [00:34<00:13,  1.68it/s]
Loading 0:  96%|█████████▌| 347/363 [00:34<00:05,  2.80it/s]
Loading 0:  96%|█████████▋| 350/363 [00:34<00:03,  3.51it/s]
Loading 0:  98%|█████████▊| 355/363 [00:34<00:01,  5.18it/s]
Loading 0:  99%|█████████▉| 359/363 [00:34<00:00,  6.68it/s]
                                                            

Job chaiml-dante-sparda-dev-53570-v1-mkmlizer completed after 165.75s with status: succeeded
Stopping job with name chaiml-dante-sparda-dev-53570-v1-mkmlizer
Pipeline stage MKMLizer completed in 166.23s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-dante-sparda-dev-53570-v1
Waiting for inference service chaiml-dante-sparda-dev-53570-v1 to be ready
Inference service chaiml-dante-sparda-dev-53570-v1 ready after 120.4139564037323s
Pipeline stage MKMLDeployer completed in 120.93s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.614380121231079s
Received healthy response to inference request in 1.9831275939941406s
Received healthy response to inference request in 2.130544424057007s
Received healthy response to inference request in 1.8632326126098633s
Received healthy response to inference request in 2.1998372077941895s
5 requests
0 failed requests
5th percentile: 1.8872116088867188
10th percentile: 1.9111906051635743
20th percentile: 1.9591485977172851
30th percentile: 2.0126109600067137
40th percentile: 2.0715776920318603
50th percentile: 2.130544424057007
60th percentile: 2.15826153755188
70th percentile: 2.185978651046753
80th percentile: 2.2827457904815676
90th percentile: 2.4485629558563233
95th percentile: 2.531471538543701
99th percentile: 2.5977984046936036
mean time: 2.1582243919372557
Pipeline stage StressChecker completed in 12.22s
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 0.72s
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 0.67s
Shutdown handler de-registered
chaiml-dante-sparda-dev_53570_v1 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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-dante-sparda-dev-53570-v1-profiler
Waiting for inference service chaiml-dante-sparda-dev-53570-v1-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
Received signal 15, running shutdown handler
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Received signal 15, running shutdown handler
Shutdown handler de-registered
chaiml-dante-sparda-dev_53570_v1 status is now inactive due to auto deactivation removed underperforming models
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 2333.90s
Shutdown handler de-registered
chaiml-dante-sparda-dev_53570_v1 status is now torndown due to DeploymentManager action