chaiml-cogito14b-sfts1-_10946

developer_uid: NischayDnk

submission_id: chaiml-cogito14b-sfts1-_10946_v2

model_name: chaiml-cogito14b-sfts1-_10946_v2

model_group: ChaiML/cogito14b-sfts1-e

status: torndown

timestamp: 2025-06-28T21:20:06+00:00

num_battles: 7386

num_wins: 3777

celo_rating: 1283.88

family_friendly_score: 0.5711999999999999

family_friendly_standard_error: 0.006999007929699752

submission_type: basic

model_repo: ChaiML/cogito14b-sfts1-exp1-retryv2-s400-fullft-4096-4e

model_architecture: Qwen2ForCausalLM

model_num_parameters: 14765603840.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.48371982890039944, 'latency_mean': 2.067203594446182, 'latency_p50': 2.075804114341736, 'latency_p90': 2.2731274127960206}, {'batch_size': 3, 'throughput': 0.8772540901878045, 'latency_mean': 3.412348266839981, 'latency_p50': 3.374261498451233, 'latency_p90': 3.810518908500671}, {'batch_size': 5, 'throughput': 1.049932525947681, 'latency_mean': 4.740094751119614, 'latency_p50': 4.7178754806518555, 'latency_p90': 5.271326470375061}, {'batch_size': 6, 'throughput': 1.0872484079338864, 'latency_mean': 5.48879477262497, 'latency_p50': 5.500922322273254, 'latency_p90': 6.172559690475464}, {'batch_size': 10, 'throughput': 1.1800789388298465, 'latency_mean': 8.42454327583313, 'latency_p50': 8.431672811508179, 'latency_p90': 9.461669754981994}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: chaiml-cogito14b-sfts1-_10946_v2

is_internal_developer: False

language_model: ChaiML/cogito14b-sfts1-exp1-retryv2-s400-fullft-4096-4e

model_size: 15B

ranking_group: single

throughput_3p7s: 0.93

us_pacific_date: 2025-06-28

win_ratio: 0.5113728675873274

generation_params: {'temperature': 0.8, 'top_p': 0.96, 'min_p': 0.02, 'top_k': 40, 'presence_penalty': 0.1, 'frequency_penalty': 0.1, 'stopping_words': ['<|im_start|>', '<|im_end|>', '\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '', 'prompt_template': '<|system|>Family Friendly{prompt}\n', '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-cogito14b-sfts1-10946-v2-mkmlizer
Waiting for job on chaiml-cogito14b-sfts1-10946-v2-mkmlizer to finish
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║                                                                     ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║                                                                     ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║  Version: 0.29.3                                                    ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║                                                                     ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║                                                                     ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ║                                                                     ║
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: Downloaded to shared memory in 283.403s
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: Checking if ChaiML/cogito14b-sfts1-exp1-retryv2-s400-fullft-4096-4e already exists in ChaiML
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwi3qfth0, device:0
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: quantized model in 38.574s
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: Processed model ChaiML/cogito14b-sfts1-exp1-retryv2-s400-fullft-4096-4e in 321.978s
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-cogito14b-sfts1-10946-v2
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-cogito14b-sfts1-10946-v2/config.json
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/chaiml-cogito14b-sfts1-10946-v2/added_tokens.json
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-cogito14b-sfts1-10946-v2/special_tokens_map.json
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-cogito14b-sfts1-10946-v2/tokenizer_config.json
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: cp /dev/shm/model_cache/merges.txt s3://guanaco-mkml-models/chaiml-cogito14b-sfts1-10946-v2/merges.txt
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: cp /dev/shm/model_cache/vocab.json s3://guanaco-mkml-models/chaiml-cogito14b-sfts1-10946-v2/vocab.json
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-cogito14b-sfts1-10946-v2/tokenizer.json
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-cogito14b-sfts1-10946-v2/flywheel_model.1.safetensors
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-cogito14b-sfts1-10946-v2/flywheel_model.0.safetensors
chaiml-cogito14b-sfts1-10946-v2-mkmlizer: 
Loading 0:   0%|          | 0/579 [00:00<?, ?it/s]
Loading 0:   1%|          | 5/579 [00:00<00:18, 30.59it/s]
Loading 0:   2%|▏         | 13/579 [00:00<00:12, 45.39it/s]
Loading 0:   3%|▎         | 18/579 [00:00<00:13, 42.05it/s]
Loading 0:   4%|▍         | 25/579 [00:00<00:12, 43.29it/s]
Loading 0:   5%|▌         | 30/579 [00:00<00:12, 42.42it/s]
Loading 0:   6%|▋         | 37/579 [00:00<00:12, 44.87it/s]
Loading 0:   7%|▋         | 42/579 [00:00<00:12, 41.75it/s]
Loading 0:   8%|▊         | 49/579 [00:01<00:13, 40.73it/s]
Loading 0:   9%|▉         | 54/579 [00:01<00:13, 39.75it/s]
Loading 0:  11%|█         | 61/579 [00:01<00:12, 41.54it/s]
Loading 0:  11%|█▏        | 66/579 [00:01<00:12, 41.07it/s]
Loading 0:  13%|█▎        | 73/579 [00:01<00:11, 43.60it/s]
Loading 0:  14%|█▍        | 80/579 [00:01<00:11, 44.86it/s]
Loading 0:  15%|█▍        | 85/579 [00:02<00:15, 30.99it/s]
Loading 0:  16%|█▌        | 92/579 [00:02<00:13, 34.90it/s]
Loading 0:  17%|█▋        | 96/579 [00:02<00:14, 33.64it/s]
Loading 0:  18%|█▊        | 104/579 [00:02<00:12, 38.83it/s]
Loading 0:  19%|█▉        | 109/579 [00:02<00:11, 39.30it/s]
Loading 0:  20%|██        | 116/579 [00:02<00:11, 41.20it/s]
Loading 0:  21%|██        | 121/579 [00:03<00:11, 41.24it/s]
Loading 0:  22%|██▏       | 128/579 [00:03<00:10, 43.79it/s]
Loading 0:  23%|██▎       | 133/579 [00:03<00:10, 41.89it/s]
Loading 0:  24%|██▍       | 140/579 [00:03<00:10, 41.90it/s]
Loading 0:  25%|██▌       | 147/579 [00:03<00:10, 42.55it/s]
Loading 0:  26%|██▋       | 152/579 [00:03<00:10, 40.70it/s]
Loading 0:  27%|██▋       | 157/579 [00:03<00:10, 39.88it/s]
Loading 0:  28%|██▊       | 164/579 [00:04<00:09, 41.57it/s]
Loading 0:  29%|██▉       | 169/579 [00:04<00:10, 40.83it/s]
Loading 0:  30%|███       | 176/579 [00:04<00:09, 43.23it/s]
Loading 0:  31%|███▏      | 181/579 [00:04<00:09, 41.48it/s]
Loading 0:  32%|███▏      | 188/579 [00:04<00:09, 42.58it/s]
Loading 0:  33%|███▎      | 193/579 [00:04<00:12, 29.90it/s]
Loading 0:  34%|███▍      | 197/579 [00:05<00:12, 30.07it/s]
Loading 0:  35%|███▌      | 205/579 [00:05<00:10, 36.58it/s]
Loading 0:  36%|███▌      | 209/579 [00:05<00:10, 35.81it/s]
Loading 0:  37%|███▋      | 217/579 [00:05<00:08, 41.65it/s]
Loading 0:  38%|███▊      | 222/579 [00:05<00:08, 39.88it/s]
Loading 0:  40%|███▉      | 229/579 [00:05<00:08, 42.58it/s]
Loading 0:  40%|████      | 234/579 [00:05<00:08, 42.28it/s]
Loading 0:  42%|████▏     | 241/579 [00:06<00:07, 43.07it/s]
Loading 0:  42%|████▏     | 246/579 [00:06<00:08, 40.44it/s]
Loading 0:  44%|████▎     | 253/579 [00:06<00:07, 41.98it/s]
Loading 0:  45%|████▍     | 258/579 [00:06<00:07, 41.69it/s]
Loading 0:  46%|████▌     | 265/579 [00:06<00:07, 43.90it/s]
Loading 0:  47%|████▋     | 270/579 [00:06<00:07, 43.01it/s]
Loading 0:  48%|████▊     | 277/579 [00:06<00:06, 44.87it/s]
Loading 0:  49%|████▊     | 282/579 [00:06<00:06, 42.86it/s]
Loading 0:  50%|████▉     | 289/579 [00:07<00:06, 44.70it/s]
Loading 0:  51%|█████     | 296/579 [00:07<00:06, 46.17it/s]
Loading 0:  52%|█████▏    | 301/579 [00:07<00:08, 31.61it/s]
Loading 0:  53%|█████▎    | 305/579 [00:07<00:08, 31.33it/s]
Loading 0:  54%|█████▍    | 313/579 [00:07<00:07, 36.81it/s]
Loading 0:  55%|█████▍    | 317/579 [00:08<00:07, 34.96it/s]
Loading 0:  56%|█████▌    | 325/579 [00:08<00:06, 40.83it/s]
Loading 0:  57%|█████▋    | 330/579 [00:08<00:06, 40.77it/s]
Loading 0:  58%|█████▊    | 337/579 [00:08<00:05, 42.81it/s]
Loading 0:  59%|█████▉    | 342/579 [00:08<00:05, 42.30it/s]
Loading 0:  60%|██████    | 349/579 [00:08<00:05, 43.86it/s]
Loading 0:  61%|██████    | 354/579 [00:08<00:05, 41.87it/s]
Loading 0:  62%|██████▏   | 361/579 [00:08<00:04, 43.95it/s]
Loading 0:  63%|██████▎   | 366/579 [00:09<00:04, 43.25it/s]
Loading 0:  64%|██████▍   | 373/579 [00:09<00:04, 44.19it/s]
Loading 0:  65%|██████▌   | 378/579 [00:09<00:04, 42.33it/s]
Loading 0:  66%|██████▋   | 385/579 [00:09<00:04, 42.13it/s]
Loading 0:  67%|██████▋   | 390/579 [00:09<00:04, 40.84it/s]
Loading 0:  69%|██████▊   | 397/579 [00:09<00:04, 41.66it/s]
Loading 0:  70%|██████▉   | 404/579 [00:09<00:03, 43.90it/s]
Loading 0:  71%|███████   | 409/579 [00:10<00:05, 30.82it/s]
Loading 0:  71%|███████▏  | 413/579 [00:10<00:05, 30.75it/s]
Loading 0:  73%|███████▎  | 421/579 [00:10<00:04, 36.94it/s]
Loading 0:  74%|███████▎  | 426/579 [00:10<00:04, 36.95it/s]
Loading 0:  75%|███████▍  | 433/579 [00:10<00:03, 39.66it/s]
Loading 0:  76%|███████▌  | 438/579 [00:10<00:03, 39.65it/s]
Loading 0:  77%|███████▋  | 445/579 [00:11<00:03, 41.12it/s]
Loading 0:  78%|███████▊  | 450/579 [00:11<00:03, 39.83it/s]
Loading 0:  79%|███████▉  | 457/579 [00:11<00:02, 41.25it/s]
Loading 0:  80%|███████▉  | 462/579 [00:11<00:02, 41.29it/s]
Loading 0:  81%|████████  | 469/579 [00:11<00:02, 43.42it/s]
Loading 0:  82%|████████▏ | 474/579 [00:11<00:02, 43.00it/s]
Loading 0:  83%|████████▎ | 481/579 [00:11<00:02, 44.43it/s]
Loading 0:  84%|████████▍ | 486/579 [00:12<00:02, 42.15it/s]
Loading 0:  85%|████████▌ | 493/579 [00:12<00:01, 44.63it/s]
Loading 0:  86%|████████▌ | 498/579 [00:12<00:01, 43.44it/s]
Loading 0:  87%|████████▋ | 505/579 [00:12<00:01, 43.64it/s]
Loading 0:  88%|████████▊ | 512/579 [00:12<00:01, 45.18it/s]
Loading 0:  89%|████████▉ | 517/579 [00:26<00:43,  1.42it/s]
Loading 0:  90%|████████▉ | 521/579 [00:26<00:32,  1.80it/s]
Loading 0:  91%|█████████ | 525/579 [00:26<00:23,  2.32it/s]
Loading 0:  91%|█████████▏| 529/579 [00:26<00:16,  3.05it/s]
Loading 0:  92%|█████████▏| 534/579 [00:26<00:10,  4.24it/s]
Loading 0:  94%|█████████▎| 542/579 [00:27<00:05,  6.90it/s]
Loading 0:  94%|█████████▍| 547/579 [00:27<00:03,  8.91it/s]
Loading 0:  96%|█████████▌| 554/579 [00:27<00:01, 12.52it/s]
Loading 0:  97%|█████████▋| 559/579 [00:27<00:01, 15.28it/s]
Loading 0:  98%|█████████▊| 566/579 [00:27<00:00, 20.09it/s]
Loading 0:  99%|█████████▊| 571/579 [00:27<00:00, 23.15it/s]
Loading 0: 100%|█████████▉| 578/579 [00:27<00:00, 28.33it/s]
                                                            
Job chaiml-cogito14b-sfts1-10946-v2-mkmlizer completed after 351.52s with status: succeeded
Stopping job with name chaiml-cogito14b-sfts1-10946-v2-mkmlizer
Pipeline stage MKMLizer completed in 352.05s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.21s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-cogito14b-sfts1-10946-v2
Waiting for inference service chaiml-cogito14b-sfts1-10946-v2 to be ready
Inference service chaiml-cogito14b-sfts1-10946-v2 ready after 170.5781693458557s
Pipeline stage MKMLDeployer completed in 171.41s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.695246934890747s
Received healthy response to inference request in 1.8741512298583984s
Received healthy response to inference request in 1.9002954959869385s
Received healthy response to inference request in 2.2028703689575195s
Received healthy response to inference request in 2.0085902214050293s
5 requests
0 failed requests
5th percentile: 1.8793800830841065
10th percentile: 1.8846089363098144
20th percentile: 1.8950666427612304
30th percentile: 1.9219544410705567
40th percentile: 1.9652723312377929
50th percentile: 2.0085902214050293
60th percentile: 2.0863022804260254
70th percentile: 2.1640143394470215
80th percentile: 2.301345682144165
90th percentile: 2.498296308517456
95th percentile: 2.5967716217041015
99th percentile: 2.675551872253418
mean time: 2.1362308502197265
Pipeline stage StressChecker completed in 12.16s
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 0.90s
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 0.72s
Shutdown handler de-registered
chaiml-cogito14b-sfts1-_10946_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 0.14s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-cogito14b-sfts1-10946-v2-profiler
Waiting for inference service chaiml-cogito14b-sfts1-10946-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 5586.87s
Shutdown handler de-registered
chaiml-cogito14b-sfts1-_10946_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-cogito14b-sfts1-_10946_v2 status is now torndown due to DeploymentManager action