developer_uid: bogoconic1
submission_id: chaiml-gy-exp89-dpo-exp_90452_v1
model_name: chaiml-gy-exp89-dpo-exp_90452_v1
model_group: ChaiML/gy-exp89-dpo-exp8
status: torndown
timestamp: 2025-07-05T10:03:51+00:00
num_battles: 9599
num_wins: 5224
celo_rating: 1315.13
family_friendly_score: 0.47719999999999996
family_friendly_standard_error: 0.007063712338423756
submission_type: basic
model_repo: ChaiML/gy-exp89-dpo-exp87ep2s2-exp72data-ep2
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.5240399686076083, 'latency_mean': 1.9081359672546387, 'latency_p50': 1.9140403270721436, 'latency_p90': 2.134433555603027}, {'batch_size': 3, 'throughput': 1.059398313933691, 'latency_mean': 2.823822242021561, 'latency_p50': 2.8159903287887573, 'latency_p90': 3.088964080810547}, {'batch_size': 5, 'throughput': 1.350909278750166, 'latency_mean': 3.678705430030823, 'latency_p50': 3.6871509552001953, 'latency_p90': 4.140892100334168}, {'batch_size': 6, 'throughput': 1.4466497089001793, 'latency_mean': 4.108385348320008, 'latency_p50': 4.080604076385498, 'latency_p90': 4.62783796787262}, {'batch_size': 8, 'throughput': 1.5764815058022201, 'latency_mean': 5.0289991664886475, 'latency_p50': 5.032233953475952, 'latency_p90': 5.608812546730041}, {'batch_size': 10, 'throughput': 1.6418006533560274, 'latency_mean': 6.023387597799301, 'latency_p50': 6.06017541885376, 'latency_p90': 6.792279386520386}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp89-dpo-exp_90452_v1
is_internal_developer: True
language_model: ChaiML/gy-exp89-dpo-exp87ep2s2-exp72data-ep2
model_size: 24B
ranking_group: single
throughput_3p7s: 1.36
us_pacific_date: 2025-07-05
win_ratio: 0.5442233565996458
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': ['\n', '<|im_start|>', '<|im_end|>'], '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-exp89-dpo-exp-90452-v1-mkmlizer
Waiting for job on chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer to finish
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ║                                                                     ║
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: Downloaded to shared memory in 78.603s
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: Checking if ChaiML/gy-exp89-dpo-exp87ep2s2-exp72data-ep2 already exists in ChaiML
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpf0kct28f, device:0
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: quantized model in 48.976s
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: Processed model ChaiML/gy-exp89-dpo-exp87ep2s2-exp72data-ep2 in 127.580s
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v1/nvidia
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v1/nvidia/config.json
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v1/nvidia/special_tokens_map.json
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v1/nvidia/tokenizer_config.json
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v1/nvidia/tokenizer.json
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp89-dpo-exp-90452-v1/nvidia/flywheel_model.0.safetensors
chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:16, 21.15it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:09, 36.40it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:10, 33.40it/s]
Loading 0:   6%|▌         | 21/363 [00:00<00:10, 33.64it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:11, 30.31it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:09, 35.60it/s]
Loading 0:  10%|▉         | 36/363 [00:01<00:15, 21.63it/s]
Loading 0:  11%|█         | 40/363 [00:01<00:13, 24.37it/s]
Loading 0:  12%|█▏        | 44/363 [00:01<00:12, 25.71it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:11, 27.05it/s]
Loading 0:  14%|█▍        | 52/363 [00:01<00:11, 26.01it/s]
Loading 0:  16%|█▌        | 57/363 [00:02<00:10, 28.57it/s]
Loading 0:  17%|█▋        | 61/363 [00:02<00:11, 26.19it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:11, 26.70it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:12, 23.40it/s]
Loading 0:  20%|██        | 73/363 [00:02<00:14, 20.22it/s]
Loading 0:  22%|██▏       | 79/363 [00:02<00:11, 25.28it/s]
Loading 0:  23%|██▎       | 82/363 [00:03<00:11, 24.09it/s]
Loading 0:  24%|██▎       | 86/363 [00:03<00:10, 25.77it/s]
Loading 0:  25%|██▍       | 89/363 [00:03<00:10, 25.88it/s]
Loading 0:  25%|██▌       | 92/363 [00:03<00:13, 20.63it/s]
Loading 0:  27%|██▋       | 99/363 [00:03<00:09, 27.38it/s]
Loading 0:  28%|██▊       | 102/363 [00:03<00:10, 24.89it/s]
Loading 0:  29%|██▉       | 107/363 [00:04<00:11, 22.21it/s]
Loading 0:  31%|███       | 112/363 [00:04<00:10, 25.03it/s]
Loading 0:  32%|███▏      | 115/363 [00:04<00:09, 24.92it/s]
Loading 0:  33%|███▎      | 120/363 [00:04<00:08, 27.63it/s]
Loading 0:  34%|███▍      | 123/363 [00:04<00:09, 24.25it/s]
Loading 0:  35%|███▍      | 127/363 [00:04<00:08, 27.39it/s]
Loading 0:  36%|███▌      | 130/363 [00:04<00:08, 27.49it/s]
Loading 0:  37%|███▋      | 133/363 [00:05<00:08, 26.71it/s]
Loading 0:  38%|███▊      | 138/363 [00:05<00:07, 28.90it/s]
Loading 0:  39%|███▉      | 141/363 [00:05<00:08, 24.84it/s]
Loading 0:  40%|████      | 147/363 [00:05<00:06, 31.76it/s]
Loading 0:  42%|████▏     | 151/363 [00:05<00:10, 20.99it/s]
Loading 0:  42%|████▏     | 154/363 [00:06<00:10, 20.22it/s]
Loading 0:  43%|████▎     | 157/363 [00:06<00:09, 21.57it/s]
Loading 0:  44%|████▍     | 160/363 [00:06<00:09, 21.71it/s]
Loading 0:  45%|████▍     | 163/363 [00:06<00:08, 23.31it/s]
Loading 0:  46%|████▌     | 166/363 [00:06<00:08, 23.95it/s]
Loading 0:  47%|████▋     | 169/363 [00:06<00:08, 23.55it/s]
Loading 0:  48%|████▊     | 174/363 [00:06<00:07, 26.33it/s]
Loading 0:  49%|████▉     | 177/363 [00:06<00:07, 23.79it/s]
Loading 0:  50%|████▉     | 181/363 [00:07<00:06, 26.96it/s]
Loading 0:  51%|█████     | 186/363 [00:07<00:06, 29.38it/s]
Loading 0:  52%|█████▏    | 190/363 [00:07<00:09, 19.11it/s]
Loading 0:  53%|█████▎    | 193/363 [00:07<00:08, 20.64it/s]
Loading 0:  54%|█████▍    | 196/363 [00:07<00:07, 21.69it/s]
Loading 0:  55%|█████▌    | 200/363 [00:22<00:07, 21.69it/s]
Loading 0:  55%|█████▌    | 201/363 [00:22<03:05,  1.15s/it]
Loading 0:  56%|█████▌    | 203/363 [00:22<02:33,  1.04it/s]
Loading 0:  57%|█████▋    | 208/363 [00:22<01:32,  1.67it/s]
Loading 0:  58%|█████▊    | 211/363 [00:23<01:11,  2.14it/s]
Loading 0:  59%|█████▉    | 214/363 [00:23<00:52,  2.81it/s]
Loading 0:  60%|██████    | 218/363 [00:23<00:36,  4.01it/s]
Loading 0:  61%|██████    | 221/363 [00:23<00:27,  5.12it/s]
Loading 0:  62%|██████▏   | 224/363 [00:23<00:22,  6.08it/s]
Loading 0:  63%|██████▎   | 228/363 [00:23<00:15,  8.56it/s]
Loading 0:  64%|██████▎   | 231/363 [00:24<00:13,  9.81it/s]
Loading 0:  65%|██████▌   | 237/363 [00:24<00:08, 14.45it/s]
Loading 0:  66%|██████▌   | 240/363 [00:24<00:08, 15.07it/s]
Loading 0:  68%|██████▊   | 246/363 [00:24<00:05, 20.15it/s]
Loading 0:  69%|██████▊   | 249/363 [00:24<00:05, 19.69it/s]
Loading 0:  70%|███████   | 255/363 [00:24<00:04, 24.55it/s]
Loading 0:  71%|███████▏  | 259/363 [00:25<00:04, 24.26it/s]
Loading 0:  73%|███████▎  | 264/363 [00:25<00:03, 28.74it/s]
Loading 0:  74%|███████▍  | 268/363 [00:25<00:04, 21.69it/s]
Loading 0:  75%|███████▍  | 271/363 [00:25<00:04, 20.28it/s]
Loading 0:  75%|███████▌  | 274/363 [00:25<00:04, 21.64it/s]
Loading 0:  76%|███████▋  | 277/363 [00:25<00:03, 22.23it/s]
Loading 0:  78%|███████▊  | 282/363 [00:26<00:03, 24.93it/s]
Loading 0:  79%|███████▊  | 285/363 [00:26<00:03, 22.55it/s]
Loading 0:  80%|████████  | 291/363 [00:26<00:02, 26.97it/s]
Loading 0:  81%|████████  | 294/363 [00:26<00:02, 24.11it/s]
Loading 0:  82%|████████▏ | 299/363 [00:26<00:02, 26.75it/s]
Loading 0:  84%|████████▎ | 304/363 [00:26<00:02, 23.49it/s]
Loading 0:  85%|████████▍ | 307/363 [00:27<00:02, 21.79it/s]
Loading 0:  85%|████████▌ | 310/363 [00:27<00:02, 22.93it/s]
Loading 0:  86%|████████▌ | 313/363 [00:27<00:02, 23.06it/s]
Loading 0:  88%|████████▊ | 318/363 [00:27<00:01, 26.28it/s]
Loading 0:  88%|████████▊ | 321/363 [00:27<00:01, 23.56it/s]
Loading 0:  90%|█████████ | 327/363 [00:27<00:01, 28.27it/s]
Loading 0:  91%|█████████ | 330/363 [00:28<00:01, 25.38it/s]
Loading 0:  92%|█████████▏| 335/363 [00:28<00:01, 27.84it/s]
Loading 0:  93%|█████████▎| 338/363 [00:28<00:00, 26.28it/s]
Loading 0:  94%|█████████▍| 341/363 [00:28<00:01, 15.41it/s]
Loading 0:  96%|█████████▌| 347/363 [00:28<00:00, 20.94it/s]
Loading 0:  96%|█████████▋| 350/363 [00:28<00:00, 21.39it/s]
Loading 0:  98%|█████████▊| 355/363 [00:29<00:00, 24.65it/s]
Loading 0:  99%|█████████▊| 358/363 [00:29<00:00, 23.39it/s]
                                                            

Job chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer completed after 155.66s with status: succeeded
Stopping job with name chaiml-gy-exp89-dpo-exp-90452-v1-mkmlizer
Pipeline stage MKMLizer completed in 156.33s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-gy-exp89-dpo-exp-90452-v1
Waiting for inference service chaiml-gy-exp89-dpo-exp-90452-v1 to be ready
Inference service chaiml-gy-exp89-dpo-exp-90452-v1 ready after 220.79824662208557s
Pipeline stage MKMLDeployer completed in 221.24s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.8472349643707275s
Received healthy response to inference request in 1.8488729000091553s
Received healthy response to inference request in 2.146735191345215s
Received healthy response to inference request in 2.2096331119537354s
5 requests
1 failed requests
5th percentile: 1.9084453582763672
10th percentile: 1.968017816543579
20th percentile: 2.087162733078003
30th percentile: 2.159314775466919
40th percentile: 2.1844739437103273
50th percentile: 2.2096331119537354
60th percentile: 2.4646738529205323
70th percentile: 2.719714593887329
80th percentile: 6.303907728195194
90th percentile: 13.217253255844117
95th percentile: 16.673926019668578
99th percentile: 19.43926423072815
mean time: 5.836614990234375
%s, retrying in %s seconds...
Received healthy response to inference request in 1.8754327297210693s
Received healthy response to inference request in 1.842027187347412s
Received healthy response to inference request in 1.915398120880127s
Received healthy response to inference request in 2.336852788925171s
Received healthy response to inference request in 2.168130397796631s
5 requests
0 failed requests
5th percentile: 1.8487082958221435
10th percentile: 1.855389404296875
20th percentile: 1.868751621246338
30th percentile: 1.883425807952881
40th percentile: 1.899411964416504
50th percentile: 1.915398120880127
60th percentile: 2.0164910316467286
70th percentile: 2.1175839424133303
80th percentile: 2.201874876022339
90th percentile: 2.269363832473755
95th percentile: 2.303108310699463
99th percentile: 2.3301038932800293
mean time: 2.027568244934082
Pipeline stage StressChecker completed in 41.82s
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 1.06s
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 0.74s
Shutdown handler de-registered
chaiml-gy-exp89-dpo-exp_90452_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 0.14s
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-gy-exp89-dpo-exp-90452-v1-profiler
Waiting for inference service chaiml-gy-exp89-dpo-exp-90452-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 4636.08s
Shutdown handler de-registered
chaiml-gy-exp89-dpo-exp_90452_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-gy-exp89-dpo-exp_90452_v1 status is now torndown due to DeploymentManager action