developer_uid: bogoconic1
submission_id: chaiml-gy-exp169-sft-gy_89445_v1
model_name: chaiml-gy-exp169-sft-gy_89445_v1
model_group: ChaiML/gy-exp169-sft-gy-
status: torndown
timestamp: 2025-07-15T11:07:12+00:00
num_battles: 7961
num_wins: 3968
celo_rating: 1282.63
family_friendly_score: 0.5448
family_friendly_standard_error: 0.007042626782671363
submission_type: basic
model_repo: ChaiML/gy-exp169-sft-gy-datamix-v1-MM3-AR-head1000-ep2
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5223160957997091, 'latency_mean': 1.9144237399101258, 'latency_p50': 1.9245511293411255, 'latency_p90': 2.1309433698654177}, {'batch_size': 3, 'throughput': 1.0475777997798128, 'latency_mean': 2.8565985655784605, 'latency_p50': 2.850368022918701, 'latency_p90': 3.140983533859253}, {'batch_size': 5, 'throughput': 1.3385802065760506, 'latency_mean': 3.7055829727649687, 'latency_p50': 3.7105510234832764, 'latency_p90': 4.222648501396179}, {'batch_size': 6, 'throughput': 1.4363142169321101, 'latency_mean': 4.153334767818451, 'latency_p50': 4.161059737205505, 'latency_p90': 4.657675766944885}, {'batch_size': 8, 'throughput': 1.5663003030653573, 'latency_mean': 5.0605264914035795, 'latency_p50': 5.092792630195618, 'latency_p90': 5.667699480056763}, {'batch_size': 10, 'throughput': 1.6455086713796951, 'latency_mean': 6.002999622821807, 'latency_p50': 6.054947018623352, 'latency_p90': 6.759084939956665}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp169-sft-gy_89445_v1
is_internal_developer: False
language_model: ChaiML/gy-exp169-sft-gy-datamix-v1-MM3-AR-head1000-ep2
model_size: 24B
ranking_group: single
throughput_3p7s: 1.35
us_pacific_date: 2025-07-15
win_ratio: 0.49842984549679686
generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_start|>', '<|im_end|>', '\n'], 'max_input_tokens': 1024, 'best_of': 8, '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': 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-gy-exp169-sft-gy-89445-v1-mkmlizer
Waiting for job on chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer to finish
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: Downloaded to shared memory in 75.890s
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: Checking if ChaiML/gy-exp169-sft-gy-datamix-v1-MM3-AR-head1000-ep2 already exists in ChaiML
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpexb4facr, device:0
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: quantized model in 47.280s
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: Processed model ChaiML/gy-exp169-sft-gy-datamix-v1-MM3-AR-head1000-ep2 in 123.171s
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-89445-v1/nvidia
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-89445-v1/nvidia/config.json
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-89445-v1/nvidia/special_tokens_map.json
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-89445-v1/nvidia/tokenizer_config.json
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-89445-v1/nvidia/tokenizer.json
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-89445-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-89445-v1/nvidia/flywheel_model.0.safetensors
chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 4/363 [00:00<00:09, 38.96it/s]
Loading 0:   2%|▏         | 8/363 [00:00<00:11, 30.75it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:10, 32.30it/s]
Loading 0:   4%|▍         | 16/363 [00:00<00:12, 28.78it/s]
Loading 0:   6%|▌         | 21/363 [00:00<00:10, 32.94it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:11, 29.91it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:09, 35.41it/s]
Loading 0:  10%|▉         | 36/363 [00:01<00:15, 21.06it/s]
Loading 0:  11%|█         | 40/363 [00:01<00:13, 23.85it/s]
Loading 0:  12%|█▏        | 44/363 [00:01<00:12, 25.00it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:11, 26.89it/s]
Loading 0:  14%|█▍        | 52/363 [00:01<00:11, 25.95it/s]
Loading 0:  16%|█▌        | 57/363 [00:02<00:10, 28.96it/s]
Loading 0:  17%|█▋        | 61/363 [00:02<00:11, 27.32it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:10, 27.89it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:12, 23.76it/s]
Loading 0:  20%|██        | 73/363 [00:02<00:14, 20.52it/s]
Loading 0:  22%|██▏       | 79/363 [00:02<00:11, 25.50it/s]
Loading 0:  23%|██▎       | 82/363 [00:03<00:11, 24.74it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:10, 26.07it/s]
Loading 0:  25%|██▍       | 89/363 [00:03<00:10, 25.58it/s]
Loading 0:  25%|██▌       | 92/363 [00:03<00:13, 20.70it/s]
Loading 0:  27%|██▋       | 99/363 [00:03<00:09, 27.69it/s]
Loading 0:  28%|██▊       | 102/363 [00:03<00:10, 25.20it/s]
Loading 0:  29%|██▉       | 107/363 [00:04<00:11, 22.59it/s]
Loading 0:  31%|███       | 112/363 [00:04<00:09, 25.58it/s]
Loading 0:  32%|███▏      | 115/363 [00:04<00:09, 25.53it/s]
Loading 0:  33%|███▎      | 120/363 [00:04<00:08, 27.94it/s]
Loading 0:  34%|███▍      | 123/363 [00:04<00:09, 25.36it/s]
Loading 0:  36%|███▌      | 129/363 [00:04<00:07, 29.91it/s]
Loading 0:  37%|███▋      | 133/363 [00:05<00:08, 27.72it/s]
Loading 0:  38%|███▊      | 138/363 [00:05<00:07, 29.85it/s]
Loading 0:  39%|███▉      | 142/363 [00:05<00:07, 28.33it/s]
Loading 0:  40%|████      | 147/363 [00:05<00:06, 32.76it/s]
Loading 0:  42%|████▏     | 151/363 [00:05<00:08, 24.14it/s]
Loading 0:  42%|████▏     | 154/363 [00:05<00:09, 22.40it/s]
Loading 0:  43%|████▎     | 157/363 [00:06<00:08, 23.60it/s]
Loading 0:  44%|████▍     | 160/363 [00:06<00:08, 23.58it/s]
Loading 0:  45%|████▌     | 165/363 [00:06<00:07, 26.28it/s]
Loading 0:  46%|████▋     | 168/363 [00:06<00:08, 23.52it/s]
Loading 0:  48%|████▊     | 174/363 [00:06<00:06, 28.54it/s]
Loading 0:  49%|████▉     | 177/363 [00:06<00:07, 25.13it/s]
Loading 0:  50%|█████     | 182/363 [00:06<00:06, 27.30it/s]
Loading 0:  52%|█████▏    | 187/363 [00:07<00:07, 24.37it/s]
Loading 0:  52%|█████▏    | 190/363 [00:07<00:07, 22.44it/s]
Loading 0:  53%|█████▎    | 193/363 [00:07<00:07, 23.45it/s]
Loading 0:  54%|█████▍    | 196/363 [00:07<00:06, 24.09it/s]
Loading 0:  55%|█████▌    | 200/363 [00:21<00:06, 24.09it/s]
Loading 0:  55%|█████▌    | 201/363 [00:21<02:58,  1.10s/it]
Loading 0:  56%|█████▌    | 203/363 [00:21<02:28,  1.08it/s]
Loading 0:  57%|█████▋    | 208/363 [00:22<01:29,  1.74it/s]
Loading 0:  58%|█████▊    | 211/363 [00:22<01:08,  2.23it/s]
Loading 0:  59%|█████▉    | 214/363 [00:22<00:50,  2.93it/s]
Loading 0:  60%|██████    | 218/363 [00:22<00:34,  4.18it/s]
Loading 0:  61%|██████    | 221/363 [00:22<00:26,  5.33it/s]
Loading 0:  62%|██████▏   | 224/363 [00:22<00:21,  6.38it/s]
Loading 0:  63%|██████▎   | 229/363 [00:23<00:14,  9.39it/s]
Loading 0:  64%|██████▍   | 232/363 [00:23<00:11, 11.03it/s]
Loading 0:  65%|██████▌   | 237/363 [00:23<00:08, 14.85it/s]
Loading 0:  66%|██████▌   | 240/363 [00:23<00:07, 15.72it/s]
Loading 0:  68%|██████▊   | 246/363 [00:23<00:05, 20.93it/s]
Loading 0:  69%|██████▊   | 249/363 [00:23<00:05, 20.63it/s]
Loading 0:  70%|███████   | 255/363 [00:23<00:04, 25.68it/s]
Loading 0:  71%|███████▏  | 259/363 [00:24<00:04, 25.46it/s]
Loading 0:  73%|███████▎  | 264/363 [00:24<00:03, 30.13it/s]
Loading 0:  74%|███████▍  | 268/363 [00:24<00:03, 23.96it/s]
Loading 0:  75%|███████▍  | 271/363 [00:24<00:04, 22.60it/s]
Loading 0:  75%|███████▌  | 274/363 [00:24<00:03, 23.74it/s]
Loading 0:  76%|███████▋  | 277/363 [00:24<00:03, 24.37it/s]
Loading 0:  78%|███████▊  | 282/363 [00:25<00:02, 27.71it/s]
Loading 0:  79%|███████▊  | 285/363 [00:25<00:03, 25.14it/s]
Loading 0:  80%|████████  | 291/363 [00:25<00:02, 29.95it/s]
Loading 0:  81%|████████▏ | 295/363 [00:25<00:02, 28.36it/s]
Loading 0:  82%|████████▏ | 299/363 [00:25<00:02, 28.49it/s]
Loading 0:  84%|████████▎ | 304/363 [00:25<00:02, 25.70it/s]
Loading 0:  85%|████████▍ | 307/363 [00:26<00:02, 23.52it/s]
Loading 0:  85%|████████▌ | 310/363 [00:26<00:02, 24.50it/s]
Loading 0:  86%|████████▌ | 313/363 [00:26<00:02, 24.81it/s]
Loading 0:  88%|████████▊ | 318/363 [00:26<00:01, 27.95it/s]
Loading 0:  88%|████████▊ | 321/363 [00:26<00:01, 25.48it/s]
Loading 0:  90%|█████████ | 327/363 [00:26<00:01, 30.29it/s]
Loading 0:  91%|█████████ | 331/363 [00:26<00:01, 28.31it/s]
Loading 0:  92%|█████████▏| 335/363 [00:26<00:00, 28.27it/s]
Loading 0:  93%|█████████▎| 338/363 [00:27<00:00, 26.63it/s]
Loading 0:  94%|█████████▍| 341/363 [00:27<00:01, 16.03it/s]
Loading 0:  96%|█████████▌| 347/363 [00:27<00:00, 22.00it/s]
Loading 0:  96%|█████████▋| 350/363 [00:27<00:00, 22.53it/s]
Loading 0:  98%|█████████▊| 355/363 [00:27<00:00, 25.68it/s]
Loading 0:  99%|█████████▊| 358/363 [00:28<00:00, 23.65it/s]
                                                            

Job chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer completed after 158.41s with status: succeeded
Stopping job with name chaiml-gy-exp169-sft-gy-89445-v1-mkmlizer
Pipeline stage MKMLizer completed in 158.94s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-gy-exp169-sft-gy-89445-v1
Waiting for inference service chaiml-gy-exp169-sft-gy-89445-v1 to be ready
Inference service chaiml-gy-exp169-sft-gy-89445-v1 ready after 240.91322374343872s
Pipeline stage MKMLDeployer completed in 241.51s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5524098873138428s
Received healthy response to inference request in 1.9377217292785645s
Received healthy response to inference request in 2.4654974937438965s
Received healthy response to inference request in 2.3418209552764893s
Received healthy response to inference request in 2.4429714679718018s
5 requests
0 failed requests
5th percentile: 2.0185415744781494
10th percentile: 2.0993614196777344
20th percentile: 2.2610011100769043
30th percentile: 2.3620510578155516
40th percentile: 2.4025112628936767
50th percentile: 2.4429714679718018
60th percentile: 2.4519818782806397
70th percentile: 2.4609922885894777
80th percentile: 2.482879972457886
90th percentile: 2.517644929885864
95th percentile: 2.5350274085998534
99th percentile: 2.548933391571045
mean time: 2.348084306716919
Pipeline stage StressChecker completed in 13.04s
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 0.66s
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 0.64s
Shutdown handler de-registered
chaiml-gy-exp169-sft-gy_89445_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 0.13s
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-gy-exp169-sft-gy-89445-v1-profiler
Waiting for inference service chaiml-gy-exp169-sft-gy-89445-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
%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
%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
Pipeline stage OfflineFamilyFriendlyScorer completed in 5108.54s
Shutdown handler de-registered
chaiml-gy-exp169-sft-gy_89445_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-gy-exp169-sft-gy_89445_v1 status is now torndown due to DeploymentManager action
chaiml-gy-exp169-sft-gy_89445_v1 status is now torndown due to DeploymentManager action