chaiml-icld-v1-dpo-cosine

developer_uid: zonemercy
submission_id: chaiml-icld-v1-dpo-cosine_v2
model_name: test
model_group: ChaiML/icld-v1-dpo_cosin
status: protected
timestamp: 2025-11-25T00:25:02+00:00
num_battles: 7536
num_wins: 3782
celo_rating: 1301.04
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/icld-v1-dpo_cosine
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.468498995023533, 'latency_mean': 2.134369567632675, 'latency_p50': 2.1284685134887695, 'latency_p90': 2.366059970855713}, {'batch_size': 2, 'throughput': 0.6827271498026753, 'latency_mean': 2.9232539987564086, 'latency_p50': 2.9317784309387207, 'latency_p90': 3.218866181373596}, {'batch_size': 3, 'throughput': 0.8208947661042038, 'latency_mean': 3.6451538515090944, 'latency_p50': 3.678220748901367, 'latency_p90': 4.238314628601074}, {'batch_size': 4, 'throughput': 0.9197105393480016, 'latency_mean': 4.334996327161789, 'latency_p50': 4.334852814674377, 'latency_p90': 4.860030031204223}, {'batch_size': 5, 'throughput': 0.9862690981935542, 'latency_mean': 5.050631073713302, 'latency_p50': 5.041592597961426, 'latency_p90': 5.682932114601135}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
is_internal_developer: True
language_model: ChaiML/icld-v1-dpo_cosine
model_size: 24B
ranking_group: single
throughput_3p7s: 0.83
us_pacific_date: 2025-11-22
win_ratio: 0.5018577494692145
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:', '</s>', 'User:'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {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-icld-v1-dpo-cosine-v2-mkmlizer
Waiting for job on chaiml-icld-v1-dpo-cosine-v2-mkmlizer to finish
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: Downloaded to shared memory in 53.656s
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: Checking if ChaiML/icld-v1-dpo_cosine already exists in ChaiML
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpyr0rgk43, device:0
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: quantized model in 286.234s
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: Processed model ChaiML/icld-v1-dpo_cosine in 339.890s
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosine-v2/nvidia
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosine-v2/nvidia/config.json
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosine-v2/nvidia/special_tokens_map.json
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosine-v2/nvidia/tokenizer_config.json
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosine-v2/nvidia/tokenizer.json
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosine-v2/nvidia/flywheel_model.1.safetensors
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosine-v2/nvidia/flywheel_model.0.safetensors
chaiml-icld-v1-dpo-cosine-v2-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 3/363 [00:01<03:59,  1.51it/s]
Loading 0:   1%|          | 4/363 [00:04<06:44,  1.13s/it]
Loading 0:   1%|▏         | 5/363 [00:06<08:26,  1.42s/it]
Loading 0:   2%|▏         | 8/363 [00:06<03:55,  1.51it/s]
Loading 0:   2%|▏         | 9/363 [00:06<03:26,  1.72it/s]
Loading 0:   3%|▎         | 10/363 [00:06<02:46,  2.12it/s]
Loading 0:   3%|▎         | 12/363 [00:08<04:07,  1.42it/s]
Loading 0:   4%|▎         | 13/363 [00:10<05:44,  1.02it/s]
Loading 0:   4%|▍         | 14/363 [00:12<07:13,  1.24s/it]
Loading 0:   5%|▍         | 17/363 [00:13<03:48,  1.52it/s]
Loading 0:   5%|▍         | 18/363 [00:13<03:20,  1.72it/s]
Loading 0:   5%|▌         | 19/363 [00:13<02:44,  2.09it/s]
Loading 0:   6%|▌         | 21/363 [00:15<03:51,  1.48it/s]
Loading 0:   6%|▌         | 22/363 [00:17<05:24,  1.05it/s]
Loading 0:   6%|▋         | 23/363 [00:19<06:51,  1.21s/it]
Loading 0:   7%|▋         | 26/363 [00:19<03:40,  1.53it/s]
Loading 0:   7%|▋         | 27/363 [00:20<03:13,  1.73it/s]
Loading 0:   8%|▊         | 28/363 [00:20<02:40,  2.09it/s]
Loading 0:   8%|▊         | 30/363 [00:20<01:57,  2.83it/s]
Loading 0:   9%|▊         | 31/363 [00:20<01:50,  3.01it/s]
Loading 0:   9%|▉         | 32/363 [00:20<01:33,  3.56it/s]
Loading 0:   9%|▉         | 33/363 [00:21<01:21,  4.03it/s]
Loading 0:   9%|▉         | 34/363 [00:23<03:50,  1.43it/s]
Loading 0:  10%|▉         | 35/363 [00:25<05:43,  1.05s/it]
Loading 0:  10%|▉         | 36/363 [00:27<07:14,  1.33s/it]
Loading 0:  11%|█         | 39/363 [00:29<05:11,  1.04it/s]
Loading 0:  11%|█         | 40/363 [00:31<06:17,  1.17s/it]
Loading 0:  11%|█▏        | 41/363 [00:33<07:21,  1.37s/it]
Loading 0:  12%|█▏        | 44/363 [00:33<03:57,  1.34it/s]
Loading 0:  12%|█▏        | 45/363 [00:33<03:26,  1.54it/s]
Loading 0:  13%|█▎        | 46/363 [00:33<02:50,  1.86it/s]
Loading 0:  13%|█▎        | 48/363 [00:35<03:43,  1.41it/s]
Loading 0:  13%|█▎        | 49/363 [00:37<05:06,  1.03it/s]
Loading 0:  14%|█▍        | 50/363 [00:39<06:22,  1.22s/it]
Loading 0:  15%|█▍        | 53/363 [00:40<03:24,  1.52it/s]
Loading 0:  15%|█▍        | 54/363 [00:40<02:59,  1.72it/s]
Loading 0:  15%|█▌        | 55/363 [00:40<02:27,  2.08it/s]
Loading 0:  16%|█▌        | 57/363 [00:42<03:25,  1.49it/s]
Loading 0:  16%|█▌        | 58/363 [00:44<04:48,  1.06it/s]
Loading 0:  16%|█▋        | 59/363 [00:46<06:05,  1.20s/it]
Loading 0:  17%|█▋        | 62/363 [00:46<03:15,  1.54it/s]
Loading 0:  17%|█▋        | 63/363 [00:46<02:51,  1.75it/s]
Loading 0:  18%|█▊        | 64/363 [00:47<02:21,  2.11it/s]
Loading 0:  18%|█▊        | 65/363 [00:48<04:05,  1.22it/s]
Loading 0:  18%|█▊        | 67/363 [00:49<02:43,  1.81it/s]
Loading 0:  19%|█▊        | 68/363 [00:49<02:22,  2.06it/s]
Loading 0:  19%|█▉        | 69/363 [00:49<01:57,  2.51it/s]
Loading 0:  19%|█▉        | 70/363 [00:49<01:36,  3.03it/s]
Loading 0:  20%|█▉        | 71/363 [00:51<03:43,  1.30it/s]
Loading 0:  20%|█▉        | 72/363 [00:53<05:19,  1.10s/it]
Loading 0:  20%|██        | 73/363 [00:55<06:36,  1.37s/it]
Loading 0:  21%|██        | 76/363 [00:56<03:13,  1.49it/s]
Loading 0:  21%|██        | 77/363 [00:56<02:47,  1.71it/s]
Loading 0:  21%|██▏       | 78/363 [00:56<02:16,  2.09it/s]
Loading 0:  22%|██▏       | 79/363 [00:58<03:59,  1.19it/s]
Loading 0:  22%|██▏       | 80/363 [01:00<05:25,  1.15s/it]
Loading 0:  23%|██▎       | 82/363 [01:00<03:23,  1.38it/s]
Loading 0:  23%|██▎       | 83/363 [01:00<02:51,  1.63it/s]
Loading 0:  23%|██▎       | 84/363 [01:01<02:16,  2.04it/s]
Loading 0:  24%|██▎       | 86/363 [01:03<03:12,  1.44it/s]
Loading 0:  24%|██▍       | 87/363 [01:05<04:36,  1.00s/it]
Loading 0:  25%|██▍       | 90/363 [01:07<03:47,  1.20it/s]
Loading 0:  25%|██▌       | 91/363 [01:09<04:44,  1.05s/it]
Loading 0:  25%|██▌       | 92/363 [01:11<05:41,  1.26s/it]
Loading 0:  26%|██▌       | 95/363 [01:11<03:09,  1.42it/s]
Loading 0:  26%|██▋       | 96/363 [01:11<02:45,  1.61it/s]
Loading 0:  27%|██▋       | 97/363 [01:11<02:17,  1.94it/s]
Loading 0:  27%|██▋       | 99/363 [01:13<03:02,  1.44it/s]
Loading 0:  28%|██▊       | 100/363 [01:15<04:12,  1.04it/s]
Loading 0:  28%|██▊       | 101/363 [01:17<05:17,  1.21s/it]
Loading 0:  29%|██▊       | 104/363 [01:18<02:50,  1.52it/s]
Loading 0:  29%|██▉       | 105/363 [01:18<02:29,  1.72it/s]
Loading 0:  29%|██▉       | 106/363 [01:18<02:03,  2.08it/s]
Loading 0:  29%|██▉       | 107/363 [01:18<01:42,  2.50it/s]
Loading 0:  30%|██▉       | 108/363 [01:20<03:22,  1.26it/s]
Loading 0:  31%|███       | 111/363 [01:22<03:02,  1.38it/s]
Loading 0:  31%|███       | 112/363 [01:24<04:03,  1.03it/s]
Loading 0:  31%|███       | 113/363 [01:26<05:01,  1.21s/it]
Loading 0:  32%|███▏      | 116/363 [01:26<02:45,  1.49it/s]
Loading 0:  32%|███▏      | 117/363 [01:27<02:25,  1.69it/s]
Loading 0:  33%|███▎      | 118/363 [01:27<02:00,  2.03it/s]
Loading 0:  33%|███▎      | 120/363 [01:29<02:44,  1.47it/s]
Loading 0:  33%|███▎      | 121/363 [01:31<03:50,  1.05it/s]
Loading 0:  34%|███▎      | 122/363 [01:33<04:50,  1.21s/it]
Loading 0:  34%|███▍      | 125/363 [01:33<02:36,  1.52it/s]
Loading 0:  35%|███▍      | 126/363 [01:33<02:17,  1.73it/s]
Loading 0:  35%|███▍      | 127/363 [01:33<01:53,  2.09it/s]
Loading 0:  36%|███▌      | 129/363 [01:35<02:37,  1.48it/s]
Loading 0:  36%|███▌      | 130/363 [01:37<03:41,  1.05it/s]
Loading 0:  36%|███▌      | 131/363 [01:39<04:39,  1.20s/it]
Loading 0:  37%|███▋      | 134/363 [01:40<02:29,  1.53it/s]
Loading 0:  37%|███▋      | 135/363 [01:40<02:11,  1.74it/s]
Loading 0:  37%|███▋      | 136/363 [01:40<01:48,  2.10it/s]
Loading 0:  38%|███▊      | 138/363 [01:42<02:31,  1.49it/s]
Loading 0:  38%|███▊      | 139/363 [01:44<03:32,  1.05it/s]
Loading 0:  39%|███▊      | 140/363 [01:46<04:29,  1.21s/it]
Loading 0:  39%|███▉      | 143/363 [01:46<02:23,  1.53it/s]
Loading 0:  40%|███▉      | 144/363 [01:47<02:06,  1.74it/s]
Loading 0:  40%|███▉      | 145/363 [01:47<01:44,  2.08it/s]
Loading 0:  40%|████      | 147/363 [01:47<01:17,  2.80it/s]
Loading 0:  41%|████      | 148/363 [01:47<01:11,  3.00it/s]
Loading 0:  41%|████      | 149/363 [01:47<01:00,  3.53it/s]
Loading 0:  41%|████▏     | 150/363 [01:47<00:52,  4.06it/s]
Loading 0:  42%|████▏     | 151/363 [01:49<02:28,  1.43it/s]
Loading 0:  42%|████▏     | 152/363 [01:51<03:40,  1.05s/it]
Loading 0:  42%|████▏     | 153/363 [01:53<04:38,  1.33s/it]
Loading 0:  43%|████▎     | 156/363 [01:55<03:19,  1.04it/s]
Loading 0:  43%|████▎     | 157/363 [01:57<04:00,  1.17s/it]
Loading 0:  44%|████▎     | 158/363 [01:59<04:40,  1.37s/it]
Loading 0:  44%|████▍     | 161/363 [02:00<02:30,  1.35it/s]
Loading 0:  45%|████▍     | 162/363 [02:00<02:10,  1.54it/s]
Loading 0:  45%|████▍     | 163/363 [02:00<01:47,  1.86it/s]
Loading 0:  45%|████▌     | 165/363 [02:02<02:20,  1.41it/s]
Loading 0:  46%|████▌     | 166/363 [02:04<03:12,  1.02it/s]
Loading 0:  46%|████▌     | 167/363 [02:06<04:00,  1.23s/it]
Loading 0:  47%|████▋     | 170/363 [02:06<02:08,  1.50it/s]
Loading 0:  47%|████▋     | 171/363 [02:07<01:52,  1.71it/s]
Loading 0:  47%|████▋     | 172/363 [02:07<01:32,  2.06it/s]
Loading 0:  48%|████▊     | 174/363 [02:09<02:07,  1.48it/s]
Loading 0:  48%|████▊     | 175/363 [02:11<02:59,  1.05it/s]
Loading 0:  48%|████▊     | 176/363 [02:13<03:45,  1.21s/it]
Loading 0:  49%|████▉     | 179/363 [02:13<02:00,  1.53it/s]
Loading 0:  50%|████▉     | 180/363 [02:13<01:45,  1.74it/s]
Loading 0:  50%|████▉     | 181/363 [02:13<01:26,  2.10it/s]
Loading 0:  50%|█████     | 182/363 [02:15<02:30,  1.21it/s]
Loading 0:  51%|█████     | 184/363 [02:16<01:40,  1.79it/s]
Loading 0:  51%|█████     | 185/363 [02:16<01:27,  2.04it/s]
Loading 0:  51%|█████     | 186/363 [02:16<01:11,  2.47it/s]
Loading 0:  52%|█████▏    | 187/363 [02:16<00:59,  2.98it/s]
Loading 0:  52%|█████▏    | 188/363 [02:18<02:15,  1.29it/s]
Loading 0:  52%|█████▏    | 189/363 [02:20<03:15,  1.12s/it]
Loading 0:  53%|█████▎    | 192/363 [02:22<02:28,  1.15it/s]
Loading 0:  53%|█████▎    | 193/363 [02:24<03:05,  1.09s/it]
Loading 0:  53%|█████▎    | 194/363 [02:26<03:41,  1.31s/it]
Loading 0:  54%|█████▍    | 197/363 [02:27<01:58,  1.40it/s]
Loading 0:  55%|█████▍    | 198/363 [02:27<01:43,  1.59it/s]
Loading 0:  55%|█████▍    | 199/363 [02:27<01:25,  1.93it/s]
Loading 0:  55%|█████▌    | 201/363 [02:29<01:52,  1.44it/s]
Loading 0:  56%|█████▌    | 202/363 [02:31<02:35,  1.04it/s]
Loading 0:  56%|█████▌    | 203/363 [02:33<03:14,  1.21s/it]
Loading 0:  57%|█████▋    | 206/363 [02:33<01:43,  1.52it/s]
Loading 0:  57%|█████▋    | 207/363 [02:33<01:30,  1.72it/s]
Loading 0:  57%|█████▋    | 208/363 [02:34<01:14,  2.08it/s]
Loading 0:  58%|█████▊    | 210/363 [02:36<01:43,  1.48it/s]
Loading 0:  58%|█████▊    | 211/363 [02:38<02:24,  1.05it/s]
Loading 0:  58%|█████▊    | 212/363 [02:40<03:02,  1.21s/it]
Loading 0:  59%|█████▉    | 215/363 [02:40<01:36,  1.53it/s]
Loading 0:  60%|█████▉    | 216/363 [02:40<01:24,  1.74it/s]
Loading 0:  60%|█████▉    | 217/363 [02:40<01:09,  2.09it/s]
Loading 0:  60%|██████    | 218/363 [02:42<02:00,  1.20it/s]
Loading 0:  60%|██████    | 219/363 [02:44<02:42,  1.13s/it]
Loading 0:  61%|██████    | 221/363 [02:45<01:42,  1.39it/s]
Loading 0:  61%|██████    | 222/363 [02:45<01:26,  1.63it/s]
Loading 0:  61%|██████▏   | 223/363 [02:45<01:08,  2.04it/s]
Loading 0:  62%|██████▏   | 224/363 [02:45<00:55,  2.52it/s]
Loading 0:  62%|██████▏   | 225/363 [02:47<01:53,  1.21it/s]
Loading 0:  63%|██████▎   | 228/363 [02:49<01:38,  1.36it/s]
Loading 0:  63%|██████▎   | 229/363 [02:51<02:11,  1.02it/s]
Loading 0:  63%|██████▎   | 230/363 [02:53<02:42,  1.22s/it]
Loading 0:  64%|██████▍   | 233/363 [02:53<01:27,  1.49it/s]
Loading 0:  64%|██████▍   | 234/363 [02:54<01:16,  1.69it/s]
Loading 0:  65%|██████▍   | 235/363 [02:54<01:03,  2.03it/s]
Loading 0:  65%|██████▌   | 237/363 [02:56<01:25,  1.47it/s]
Loading 0:  66%|██████▌   | 238/363 [02:58<01:58,  1.05it/s]
Loading 0:  66%|██████▌   | 239/363 [03:00<02:28,  1.20s/it]
Loading 0:  67%|██████▋   | 242/363 [03:00<01:18,  1.53it/s]
Loading 0:  67%|██████▋   | 243/363 [03:00<01:08,  1.74it/s]
Loading 0:  67%|██████▋   | 244/363 [03:00<00:56,  2.10it/s]
Loading 0:  68%|██████▊   | 246/363 [03:02<01:18,  1.49it/s]
Loading 0:  68%|██████▊   | 247/363 [03:04<01:49,  1.05it/s]
Loading 0:  68%|██████▊   | 248/363 [03:06<02:18,  1.20s/it]
Loading 0:  69%|██████▉   | 251/363 [03:07<01:12,  1.54it/s]
Loading 0:  69%|██████▉   | 252/363 [03:07<01:03,  1.74it/s]
Loading 0:  70%|██████▉   | 253/363 [03:07<00:52,  2.10it/s]
Loading 0:  70%|███████   | 255/363 [03:09<01:12,  1.49it/s]
Loading 0:  71%|███████   | 256/363 [03:11<01:41,  1.06it/s]
Loading 0:  71%|███████   | 257/363 [03:13<02:07,  1.20s/it]
Loading 0:  72%|███████▏  | 260/363 [03:13<01:07,  1.53it/s]
Loading 0:  72%|███████▏  | 261/363 [03:13<00:58,  1.74it/s]
Loading 0:  72%|███████▏  | 262/363 [03:14<00:48,  2.10it/s]
Loading 0:  73%|███████▎  | 264/363 [03:14<00:34,  2.83it/s]
Loading 0:  73%|███████▎  | 265/363 [03:14<00:32,  3.03it/s]
Loading 0:  73%|███████▎  | 266/363 [03:14<00:27,  3.56it/s]
Loading 0:  74%|███████▎  | 267/363 [03:14<00:23,  4.11it/s]
Loading 0:  74%|███████▍  | 268/363 [03:16<01:06,  1.44it/s]
Loading 0:  74%|███████▍  | 269/363 [03:18<01:38,  1.04s/it]
Loading 0:  74%|███████▍  | 270/363 [03:20<02:03,  1.32s/it]
Loading 0:  75%|███████▌  | 273/363 [03:35<04:58,  3.32s/it]
Loading 0:  75%|███████▌  | 274/363 [03:37<04:30,  3.04s/it]
Loading 0:  76%|███████▌  | 275/363 [03:39<04:08,  2.82s/it]
Loading 0:  77%|███████▋  | 278/363 [03:40<02:05,  1.48s/it]
Loading 0:  77%|███████▋  | 279/363 [03:40<01:43,  1.24s/it]
Loading 0:  77%|███████▋  | 280/363 [03:40<01:22,  1.00it/s]
Loading 0:  78%|███████▊  | 282/363 [03:42<01:19,  1.02it/s]
Loading 0:  78%|███████▊  | 283/363 [03:44<01:34,  1.19s/it]
Loading 0:  78%|███████▊  | 284/363 [03:46<01:49,  1.38s/it]
Loading 0:  79%|███████▉  | 287/363 [03:46<00:56,  1.35it/s]
Loading 0:  79%|███████▉  | 288/363 [03:46<00:47,  1.57it/s]
Loading 0:  80%|███████▉  | 289/363 [03:46<00:38,  1.90it/s]
Loading 0:  80%|████████  | 291/363 [03:48<00:50,  1.43it/s]
Loading 0:  80%|████████  | 292/363 [03:50<01:08,  1.03it/s]
Loading 0:  81%|████████  | 293/363 [03:52<01:25,  1.21s/it]
Loading 0:  82%|████████▏ | 296/363 [03:53<00:43,  1.53it/s]
Loading 0:  82%|████████▏ | 297/363 [03:53<00:37,  1.76it/s]
Loading 0:  82%|████████▏ | 298/363 [03:53<00:30,  2.12it/s]
Loading 0:  82%|████████▏ | 299/363 [03:55<00:51,  1.25it/s]
Loading 0:  83%|████████▎ | 301/363 [03:55<00:33,  1.87it/s]
Loading 0:  83%|████████▎ | 302/363 [03:55<00:28,  2.15it/s]
Loading 0:  83%|████████▎ | 303/363 [03:56<00:23,  2.59it/s]
Loading 0:  84%|████████▎ | 304/363 [03:56<00:18,  3.12it/s]
Loading 0:  84%|████████▍ | 305/363 [03:58<00:44,  1.31it/s]
Loading 0:  84%|████████▍ | 306/363 [04:00<01:03,  1.11s/it]
Loading 0:  85%|████████▌ | 309/363 [04:02<00:46,  1.16it/s]
Loading 0:  85%|████████▌ | 310/363 [04:04<00:57,  1.09s/it]
Loading 0:  86%|████████▌ | 311/363 [04:06<01:07,  1.30s/it]
Loading 0:  87%|████████▋ | 314/363 [04:06<00:34,  1.42it/s]
Loading 0:  87%|████████▋ | 315/363 [04:06<00:29,  1.63it/s]
Loading 0:  87%|████████▋ | 316/363 [04:06<00:23,  1.97it/s]
Loading 0:  88%|████████▊ | 318/363 [04:08<00:31,  1.45it/s]
Loading 0:  88%|████████▊ | 319/363 [04:10<00:42,  1.04it/s]
Loading 0:  88%|████████▊ | 320/363 [04:12<00:52,  1.21s/it]
Loading 0:  89%|████████▉ | 323/363 [04:12<00:26,  1.54it/s]
Loading 0:  89%|████████▉ | 324/363 [04:13<00:22,  1.76it/s]
Loading 0:  90%|████████▉ | 325/363 [04:13<00:17,  2.12it/s]
Loading 0:  90%|█████████ | 327/363 [04:15<00:24,  1.49it/s]
Loading 0:  90%|█████████ | 328/363 [04:17<00:33,  1.06it/s]
Loading 0:  91%|█████████ | 329/363 [04:19<00:40,  1.20s/it]
Loading 0:  91%|█████████▏| 332/363 [04:19<00:19,  1.55it/s]
Loading 0:  92%|█████████▏| 333/363 [04:19<00:16,  1.77it/s]
Loading 0:  92%|█████████▏| 334/363 [04:19<00:13,  2.14it/s]
Loading 0:  92%|█████████▏| 335/363 [04:21<00:22,  1.22it/s]
Loading 0:  93%|█████████▎| 336/363 [04:23<00:30,  1.12s/it]
Loading 0:  93%|█████████▎| 338/363 [04:24<00:17,  1.40it/s]
Loading 0:  93%|█████████▎| 339/363 [04:24<00:14,  1.66it/s]
Loading 0:  94%|█████████▎| 340/363 [04:24<00:11,  2.06it/s]
Loading 0:  94%|█████████▍| 341/363 [04:24<00:09,  2.30it/s]
Loading 0:  94%|█████████▍| 343/363 [04:26<00:13,  1.49it/s]
Loading 0:  95%|█████████▌| 346/363 [04:28<00:11,  1.51it/s]
Loading 0:  96%|█████████▌| 347/363 [04:30<00:14,  1.11it/s]
Loading 0:  96%|█████████▌| 348/363 [04:32<00:17,  1.14s/it]
Loading 0:  97%|█████████▋| 351/363 [04:33<00:07,  1.55it/s]
Loading 0:  97%|█████████▋| 352/363 [04:33<00:06,  1.76it/s]
Loading 0:  97%|█████████▋| 353/363 [04:33<00:04,  2.11it/s]
Loading 0:  98%|█████████▊| 355/363 [04:35<00:05,  1.49it/s]
Loading 0:  98%|█████████▊| 356/363 [04:37<00:06,  1.06it/s]
Loading 0:  98%|█████████▊| 357/363 [04:39<00:07,  1.20s/it]
Loading 0:  99%|█████████▉| 360/363 [04:39<00:01,  1.54it/s]
Loading 0:  99%|█████████▉| 361/363 [04:39<00:01,  1.75it/s]
Loading 0: 100%|█████████▉| 362/363 [04:40<00:00,  2.12it/s]
                                                            
Job chaiml-icld-v1-dpo-cosine-v2-mkmlizer completed after 419.21s with status: succeeded
Stopping job with name chaiml-icld-v1-dpo-cosine-v2-mkmlizer
Pipeline stage MKMLizer completed in 419.77s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-icld-v1-dpo-cosine-v2
Waiting for inference service chaiml-icld-v1-dpo-cosine-v2 to be ready
Inference service chaiml-icld-v1-dpo-cosine-v2 ready after 150.6960895061493s
Pipeline stage MKMLDeployer completed in 151.49s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.593862295150757s
Received healthy response to inference request in 1.9523839950561523s
Received healthy response to inference request in 1.9721689224243164s
Received healthy response to inference request in 2.4065566062927246s
Received healthy response to inference request in 2.1189253330230713s
5 requests
0 failed requests
5th percentile: 1.9563409805297851
10th percentile: 1.9602979660034179
20th percentile: 1.9682119369506836
30th percentile: 2.001520204544067
40th percentile: 2.0602227687835692
50th percentile: 2.1189253330230713
60th percentile: 2.2339778423309324
70th percentile: 2.349030351638794
80th percentile: 2.444017744064331
90th percentile: 2.5189400196075438
95th percentile: 2.5564011573791503
99th percentile: 2.5863700675964356
mean time: 2.2087794303894044
Pipeline stage StressChecker completed in 12.49s
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 0.66s
Shutdown handler de-registered
chaiml-icld-v1-dpo-cosine_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-icld-v1-dpo-cosine-v2-profiler
Waiting for inference service chaiml-icld-v1-dpo-cosine-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 4877.32s
Shutdown handler de-registered
chaiml-icld-v1-dpo-cosine_v2 status is now protected due to ABTestQueueItem