developer_uid: NischayDnk
submission_id: chaiml-cogito32b-sfts1-_45739_v2
model_name: chaiml-cogito32b-sfts1-_45739_v2
model_group: ChaiML/cogito32b-sfts1-d
status: torndown
timestamp: 2025-05-17T16:14:11+00:00
num_battles: 14511
num_wins: 7081
celo_rating: 1275.94
family_friendly_score: 0.5646
family_friendly_standard_error: 0.0070118020508283035
submission_type: basic
model_repo: ChaiML/cogito32b-sfts1-datapret-top9kfflex-onlysel-lastmsg-1
model_architecture: Qwen2ForCausalLM
model_num_parameters: 32759331840.0
best_of: 5
max_input_tokens: 768
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3846646733914953, 'latency_mean': 2.5995937263965607, 'latency_p50': 2.6144977807998657, 'latency_p90': 2.882338809967041}, {'batch_size': 3, 'throughput': 0.8775816983989818, 'latency_mean': 3.4065549528598784, 'latency_p50': 3.4250762462615967, 'latency_p90': 3.761859393119812}, {'batch_size': 5, 'throughput': 1.2020836251061136, 'latency_mean': 4.122540106773377, 'latency_p50': 4.188944697380066, 'latency_p90': 4.542655730247498}, {'batch_size': 6, 'throughput': 1.32934877716106, 'latency_mean': 4.476890568733215, 'latency_p50': 4.440457463264465, 'latency_p90': 4.971016979217529}, {'batch_size': 8, 'throughput': 1.5065154395945848, 'latency_mean': 5.265691092014313, 'latency_p50': 5.265723466873169, 'latency_p90': 5.910274887084961}, {'batch_size': 10, 'throughput': 1.66211748152021, 'latency_mean': 5.972896733283997, 'latency_p50': 5.972104430198669, 'latency_p90': 6.804157543182373}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-cogito32b-sfts1-_45739_v2
is_internal_developer: False
language_model: ChaiML/cogito32b-sfts1-datapret-top9kfflex-onlysel-lastmsg-1
model_size: 33B
ranking_group: single
throughput_3p7s: 1.03
us_pacific_date: 2025-05-17
win_ratio: 0.48797463992833023
generation_params: {'temperature': 0.45, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 40, 'presence_penalty': 0.35, 'frequency_penalty': 0.35, 'stopping_words': ['\n', '<|im_start|>', '<|im_end|>'], 'max_input_tokens': 768, 'best_of': 5, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', 'truncate_by_message': False}
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-cogito32b-sfts1-45739-v2-mkmlizer
Waiting for job on chaiml-cogito32b-sfts1-45739-v2-mkmlizer to finish
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║     _____            __           __                                ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║       /___/                                                         ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║                                                                     ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║  Version: 0.12.8                                                    ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║                                                                     ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║                                                                     ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ║                                                                     ║
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: Downloaded to shared memory in 83.671s
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_70q04r5, device:0
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: quantized model in 63.983s
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: Processed model ChaiML/cogito32b-sfts1-datapret-top9kfflex-onlysel-lastmsg-1 in 147.655s
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-cogito32b-sfts1-45739-v2
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-cogito32b-sfts1-45739-v2/config.json
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/chaiml-cogito32b-sfts1-45739-v2/added_tokens.json
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-cogito32b-sfts1-45739-v2/tokenizer_config.json
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-cogito32b-sfts1-45739-v2/special_tokens_map.json
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: cp /dev/shm/model_cache/merges.txt s3://guanaco-mkml-models/chaiml-cogito32b-sfts1-45739-v2/merges.txt
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: cp /dev/shm/model_cache/vocab.json s3://guanaco-mkml-models/chaiml-cogito32b-sfts1-45739-v2/vocab.json
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-cogito32b-sfts1-45739-v2/tokenizer.json
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/chaiml-cogito32b-sfts1-45739-v2/flywheel_model.2.safetensors
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-cogito32b-sfts1-45739-v2/flywheel_model.1.safetensors
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-cogito32b-sfts1-45739-v2/flywheel_model.0.safetensors
chaiml-cogito32b-sfts1-45739-v2-mkmlizer: 
Loading 0:   0%|          | 0/771 [00:00<?, ?it/s]
Loading 0:   1%|          | 5/771 [00:00<00:19, 38.53it/s]
Loading 0:   2%|▏         | 16/771 [00:00<00:10, 74.06it/s]
Loading 0:   4%|▎         | 27/771 [00:00<00:08, 87.89it/s]
Loading 0:   5%|▍         | 37/771 [00:00<00:08, 90.01it/s]
Loading 0:   6%|▌         | 47/771 [00:00<00:13, 52.54it/s]
Loading 0:   7%|▋         | 54/771 [00:00<00:14, 48.73it/s]
Loading 0:   8%|▊         | 64/771 [00:01<00:11, 59.18it/s]
Loading 0:  10%|▉         | 75/771 [00:01<00:09, 70.62it/s]
Loading 0:  11%|█         | 84/771 [00:01<00:09, 74.67it/s]
Loading 0:  12%|█▏        | 93/771 [00:01<00:09, 71.75it/s]
Loading 0:  14%|█▎        | 106/771 [00:01<00:10, 61.19it/s]
Loading 0:  15%|█▍        | 113/771 [00:01<00:11, 58.51it/s]
Loading 0:  16%|█▌        | 121/771 [00:01<00:11, 58.71it/s]
Loading 0:  17%|█▋        | 132/771 [00:02<00:09, 69.42it/s]
Loading 0:  18%|█▊        | 142/771 [00:02<00:08, 75.45it/s]
Loading 0:  20%|█▉        | 152/771 [00:02<00:07, 80.78it/s]
Loading 0:  21%|██        | 161/771 [00:02<00:08, 75.52it/s]
Loading 0:  22%|██▏       | 169/771 [00:02<00:11, 52.09it/s]
Loading 0:  23%|██▎       | 176/771 [00:02<00:11, 52.40it/s]
Loading 0:  24%|██▍       | 184/771 [00:02<00:10, 57.93it/s]
Loading 0:  25%|██▌       | 195/771 [00:03<00:08, 68.83it/s]
Loading 0:  26%|██▋       | 203/771 [00:03<00:07, 71.08it/s]
Loading 0:  27%|██▋       | 211/771 [00:03<00:08, 67.82it/s]
Loading 0:  29%|██▉       | 226/771 [00:03<00:09, 60.43it/s]
Loading 0:  30%|███       | 233/771 [00:03<00:10, 50.91it/s]
Loading 0:  32%|███▏      | 244/771 [00:03<00:08, 61.56it/s]
Loading 0:  33%|███▎      | 255/771 [00:03<00:07, 71.14it/s]
Loading 0:  34%|███▍      | 264/771 [00:04<00:06, 74.48it/s]
Loading 0:  35%|███▌      | 273/771 [00:04<00:06, 71.62it/s]
Loading 0:  37%|███▋      | 286/771 [00:04<00:07, 61.99it/s]
Loading 0:  38%|███▊      | 293/771 [00:04<00:09, 51.80it/s]
Loading 0:  39%|███▉      | 303/771 [00:19<03:34,  2.18it/s]
Loading 0:  40%|████      | 311/771 [00:19<02:37,  2.92it/s]
Loading 0:  41%|████      | 318/771 [00:19<01:58,  3.81it/s]
Loading 0:  43%|████▎     | 328/771 [00:19<01:18,  5.62it/s]
Loading 0:  44%|████▍     | 338/771 [00:19<00:53,  8.08it/s]
Loading 0:  45%|████▍     | 346/771 [00:19<00:42, 10.04it/s]
Loading 0:  46%|████▌     | 353/771 [00:20<00:35, 11.71it/s]
Loading 0:  47%|████▋     | 364/771 [00:20<00:23, 17.26it/s]
Loading 0:  49%|████▊     | 375/771 [00:20<00:16, 24.21it/s]
Loading 0:  50%|████▉     | 384/771 [00:20<00:12, 30.46it/s]
Loading 0:  51%|█████     | 393/771 [00:20<00:10, 36.00it/s]
Loading 0:  53%|█████▎    | 406/771 [00:20<00:09, 40.38it/s]
Loading 0:  54%|█████▎    | 413/771 [00:20<00:09, 38.56it/s]
Loading 0:  55%|█████▍    | 424/771 [00:21<00:07, 49.06it/s]
Loading 0:  56%|█████▋    | 435/771 [00:21<00:05, 59.34it/s]
Loading 0:  58%|█████▊    | 444/771 [00:21<00:05, 64.87it/s]
Loading 0:  59%|█████▉    | 453/771 [00:21<00:04, 64.77it/s]
Loading 0:  60%|██████    | 466/771 [00:21<00:05, 58.54it/s]
Loading 0:  61%|██████▏   | 473/771 [00:21<00:05, 49.99it/s]
Loading 0:  63%|██████▎   | 484/771 [00:21<00:04, 60.31it/s]
Loading 0:  64%|██████▍   | 495/771 [00:22<00:03, 70.17it/s]
Loading 0:  65%|██████▌   | 504/771 [00:22<00:03, 74.15it/s]
Loading 0:  67%|██████▋   | 513/771 [00:22<00:03, 71.11it/s]
Loading 0:  68%|██████▊   | 526/771 [00:22<00:04, 61.01it/s]
Loading 0:  69%|██████▉   | 533/771 [00:22<00:04, 51.60it/s]
Loading 0:  71%|███████   | 544/771 [00:22<00:03, 62.27it/s]
Loading 0:  72%|███████▏  | 555/771 [00:23<00:03, 71.74it/s]
Loading 0:  73%|███████▎  | 564/771 [00:23<00:02, 74.23it/s]
Loading 0:  74%|███████▍  | 573/771 [00:23<00:02, 71.55it/s]
Loading 0:  76%|███████▌  | 586/771 [00:23<00:02, 62.76it/s]
Loading 0:  77%|███████▋  | 593/771 [00:23<00:03, 52.33it/s]
Loading 0:  78%|███████▊  | 604/771 [00:23<00:02, 62.93it/s]
Loading 0:  80%|███████▉  | 615/771 [00:23<00:02, 72.40it/s]
Loading 0:  81%|████████  | 624/771 [00:24<00:01, 75.87it/s]
Loading 0:  82%|████████▏ | 633/771 [00:38<01:04,  2.14it/s]
Loading 0:  84%|████████▍ | 646/771 [00:39<00:38,  3.28it/s]
Loading 0:  85%|████████▍ | 654/771 [00:39<00:28,  4.17it/s]
Loading 0:  86%|████████▌ | 664/771 [00:39<00:18,  5.88it/s]
Loading 0:  88%|████████▊ | 675/771 [00:39<00:11,  8.45it/s]
Loading 0:  89%|████████▊ | 684/771 [00:39<00:07, 11.23it/s]
Loading 0:  90%|████████▉ | 693/771 [00:39<00:05, 14.64it/s]
Loading 0:  92%|█████████▏| 706/771 [00:40<00:03, 19.83it/s]
Loading 0:  92%|█████████▏| 713/771 [00:40<00:02, 21.78it/s]
Loading 0:  94%|█████████▍| 724/771 [00:40<00:01, 29.56it/s]
Loading 0:  95%|█████████▌| 735/771 [00:40<00:00, 38.50it/s]
Loading 0:  96%|█████████▋| 744/771 [00:40<00:00, 45.36it/s]
Loading 0:  98%|█████████▊| 753/771 [00:40<00:00, 49.56it/s]
Loading 0:  99%|█████████▉| 766/771 [00:48<00:01,  4.27it/s]
                                                            

Job chaiml-cogito32b-sfts1-45739-v2-mkmlizer completed after 186.79s with status: succeeded
Stopping job with name chaiml-cogito32b-sfts1-45739-v2-mkmlizer
Pipeline stage MKMLizer completed in 187.35s
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-cogito32b-sfts1-45739-v2
Waiting for inference service chaiml-cogito32b-sfts1-45739-v2 to be ready
Inference service chaiml-cogito32b-sfts1-45739-v2 ready after 140.56475019454956s
Pipeline stage MKMLDeployer completed in 141.09s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.040917158126831s
Received healthy response to inference request in 2.543527603149414s
Received healthy response to inference request in 2.483186721801758s
Received healthy response to inference request in 2.59440541267395s
Received healthy response to inference request in 2.4951350688934326s
5 requests
0 failed requests
5th percentile: 2.4855763912200928
10th percentile: 2.4879660606384277
20th percentile: 2.4927453994750977
30th percentile: 2.504813575744629
40th percentile: 2.5241705894470217
50th percentile: 2.543527603149414
60th percentile: 2.5638787269592287
70th percentile: 2.584229850769043
80th percentile: 2.6837077617645266
90th percentile: 2.8623124599456786
95th percentile: 2.9516148090362546
99th percentile: 3.0230566883087158
mean time: 2.6314343929290773
Pipeline stage StressChecker completed in 14.44s
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 0.73s
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 0.90s
Shutdown handler de-registered
chaiml-cogito32b-sfts1-_45739_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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-cogito32b-sfts1-45739-v2-profiler
Waiting for inference service chaiml-cogito32b-sfts1-45739-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2815.66s
Shutdown handler de-registered
chaiml-cogito32b-sfts1-_45739_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-cogito32b-sfts1-_45739_v2 status is now torndown due to DeploymentManager action