developer_uid: ChaiHarshitSheoran
submission_id: chaiml-mn24b-v2preferwi_49028_v2
model_name: chaiml-mn24b-v2preferwi_49028_v2
model_group: ChaiML/mn24b_v2preferwin
status: torndown
timestamp: 2025-09-24T18:34:08+00:00
num_battles: 5702
num_wins: 2937
celo_rating: 1278.02
family_friendly_score: 0.5478000000000001
family_friendly_standard_error: 0.007038681126461122
submission_type: basic
model_repo: ChaiML/mn24b_v2preferwin2_qwen_nonl_bo4_tune4
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': 0.5508775383936623, 'latency_mean': 1.8151657724380492, 'latency_p50': 1.8209834098815918, 'latency_p90': 2.0138555765151978}, {'batch_size': 3, 'throughput': 1.1139365042642517, 'latency_mean': 2.6860998499393465, 'latency_p50': 2.666343092918396, 'latency_p90': 2.9674849271774293}, {'batch_size': 5, 'throughput': 1.4250551470215063, 'latency_mean': 3.4890499365329743, 'latency_p50': 3.4467992782592773, 'latency_p90': 3.9504366874694825}, {'batch_size': 6, 'throughput': 1.5315610837276166, 'latency_mean': 3.8919678151607515, 'latency_p50': 3.894256830215454, 'latency_p90': 4.341791367530822}, {'batch_size': 8, 'throughput': 1.6732903489922497, 'latency_mean': 4.746646305322647, 'latency_p50': 4.722307443618774, 'latency_p90': 5.399282717704772}, {'batch_size': 10, 'throughput': 1.74944789294879, 'latency_mean': 5.66055534362793, 'latency_p50': 5.658385515213013, 'latency_p90': 6.459609603881836}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-mn24b-v2preferwi_49028_v2
is_internal_developer: False
language_model: ChaiML/mn24b_v2preferwin2_qwen_nonl_bo4_tune4
model_size: 24B
ranking_group: single
throughput_3p7s: 1.49
us_pacific_date: 2025-09-24
win_ratio: 0.5150824272185198
generation_params: {'temperature': 0.65, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '\n<START>\n', '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-mn24b-v2preferwi-49028-v2-mkmlizer
Waiting for job on chaiml-mn24b-v2preferwi-49028-v2-mkmlizer to finish
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
1 validation error for RewardSubmission
platform
  Input should be 'reward' [type=literal_error, input_value='coreweave/mkml', input_type=str]
    For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for RewardSubmission
platform
  Input should be 'reward' [type=literal_error, input_value='coreweave/mkml', input_type=str]
    For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for NemoGuardSubmission
platform
  Input should be 'nemo_guard' [type=literal_error, input_value='coreweave/mkml', input_type=str]
    For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for NemoGuardSubmission
platform
  Input should be 'nemo_guard' [type=literal_error, input_value='coreweave/mkml', input_type=str]
    For further information visit https://errors.pydantic.dev/2.11/v/literal_error
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-mn24b-v2preferwi-77425-v3-mkmlizer
Waiting for job on chaiml-mn24b-v2preferwi-77425-v3-mkmlizer to finish
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: Downloaded to shared memory in 119.877s
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: Checking if ChaiML/mn24b_v2preferwin2_qwen_nonl_bo4_tune4 already exists in ChaiML
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpau7afyns, device:0
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission mistralai-mistral-nem_93303_v569: ('http://mistralai-mistral-nem-93303-v569-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: Downloaded to shared memory in 151.976s
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: Checking if ChaiML/mn24b_v2preferwin2_qwen_nonl_bo4_tune5 already exists in ChaiML
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpguuv9onq, device:0
chaiml-mn24b-v2preferwi-77425-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: quantized model in 284.507s
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: Processed model ChaiML/mn24b_v2preferwin2_qwen_nonl_bo4_tune4 in 404.385s
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-49028-v2/nvidia
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-49028-v2/nvidia/config.json
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-49028-v2/nvidia/special_tokens_map.json
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-49028-v2/nvidia/tokenizer_config.json
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-49028-v2/nvidia/tokenizer.json
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-49028-v2/nvidia/flywheel_model.1.safetensors
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-49028-v2/nvidia/flywheel_model.0.safetensors
chaiml-mn24b-v2preferwi-49028-v2-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 3/363 [00:02<04:17,  1.40it/s]
Loading 0:   1%|          | 4/363 [00:04<07:22,  1.23s/it]
Loading 0:   1%|▏         | 5/363 [00:06<08:52,  1.49s/it]
Loading 0:   2%|▏         | 8/363 [00:06<04:05,  1.44it/s]
Loading 0:   2%|▏         | 9/363 [00:07<03:34,  1.65it/s]
Loading 0:   3%|▎         | 10/363 [00:07<02:53,  2.03it/s]
Loading 0:   3%|▎         | 12/363 [00:09<04:00,  1.46it/s]
Loading 0:   4%|▎         | 13/363 [00:11<05:38,  1.03it/s]
Loading 0:   4%|▍         | 14/363 [00:13<07:06,  1.22s/it]
Loading 0:   5%|▍         | 17/363 [00:13<03:44,  1.54it/s]
Loading 0:   5%|▍         | 18/363 [00:13<03:17,  1.75it/s]
Loading 0:   5%|▌         | 19/363 [00:13<02:42,  2.12it/s]
Loading 0:   6%|▌         | 21/363 [00:15<03:47,  1.50it/s]
Loading 0:   6%|▌         | 22/363 [00:17<05:20,  1.06it/s]
Loading 0:   6%|▋         | 23/363 [00:19<06:46,  1.20s/it]
Loading 0:   7%|▋         | 26/363 [00:20<03:37,  1.55it/s]
Loading 0:   7%|▋         | 27/363 [00:20<03:11,  1.76it/s]
Loading 0:   8%|▊         | 28/363 [00:20<02:37,  2.12it/s]
Loading 0:   8%|▊         | 30/363 [00:20<01:56,  2.86it/s]
Loading 0:   9%|▊         | 31/363 [00:20<01:48,  3.06it/s]
Loading 0:   9%|▉         | 32/363 [00:21<01:31,  3.60it/s]
Loading 0:   9%|▉         | 33/363 [00:21<01:18,  4.19it/s]
Loading 0:   9%|▉         | 34/363 [00:23<03:46,  1.45it/s]
Loading 0:  10%|▉         | 35/363 [00:25<05:39,  1.03s/it]
Loading 0:  10%|▉         | 36/363 [00:27<07:08,  1.31s/it]
Loading 0:  11%|█         | 39/363 [00:29<05:07,  1.05it/s]
Loading 0:  11%|█         | 40/363 [00:30<06:13,  1.16s/it]
Loading 0:  11%|█▏        | 41/363 [00:33<07:16,  1.35s/it]
Loading 0:  12%|█▏        | 44/363 [00:33<03:54,  1.36it/s]
Loading 0:  12%|█▏        | 45/363 [00:33<03:24,  1.56it/s]
Loading 0:  13%|█▎        | 46/363 [00:33<02:48,  1.89it/s]
Loading 0:  13%|█▎        | 48/363 [00:35<03:40,  1.43it/s]
Loading 0:  13%|█▎        | 49/363 [00:37<05:03,  1.03it/s]
Loading 0:  14%|█▍        | 50/363 [00:39<06:20,  1.22s/it]
Loading 0:  15%|█▍        | 53/363 [00:39<03:23,  1.52it/s]
Loading 0:  15%|█▍        | 54/363 [00:40<02:58,  1.73it/s]
Loading 0:  15%|█▌        | 55/363 [00:40<02:27,  2.09it/s]
Loading 0:  16%|█▌        | 57/363 [00:42<03:24,  1.50it/s]
Loading 0:  16%|█▌        | 58/363 [00:44<04:47,  1.06it/s]
Loading 0:  16%|█▋        | 59/363 [00:46<06:04,  1.20s/it]
Loading 0:  17%|█▋        | 62/363 [00:46<03:14,  1.55it/s]
Loading 0:  17%|█▋        | 63/363 [00:46<02:50,  1.76it/s]
Loading 0:  18%|█▊        | 64/363 [00:46<02:20,  2.12it/s]
Loading 0:  18%|█▊        | 65/363 [00:48<04:04,  1.22it/s]
Loading 0:  18%|█▊        | 67/363 [00:49<02:42,  1.82it/s]
Loading 0:  19%|█▊        | 68/363 [00:49<02:22,  2.07it/s]
Loading 0:  19%|█▉        | 69/363 [00:49<01:57,  2.51it/s]
Loading 0:  19%|█▉        | 70/363 [00:49<01:36,  3.04it/s]
Loading 0:  20%|█▉        | 71/363 [00:51<03:42,  1.31it/s]
Loading 0:  20%|█▉        | 72/363 [00:53<05:17,  1.09s/it]
Loading 0:  20%|██        | 73/363 [00:55<06:32,  1.35s/it]
Loading 0:  21%|██        | 76/363 [00:55<03:11,  1.50it/s]
Loading 0:  21%|██        | 77/363 [00:56<02:45,  1.73it/s]
Loading 0:  21%|██▏       | 78/363 [00:56<02:16,  2.10it/s]
Loading 0:  22%|██▏       | 79/363 [00:58<03:58,  1.19it/s]
Loading 0:  22%|██▏       | 80/363 [01:00<05:24,  1.15s/it]
Loading 0:  23%|██▎       | 82/363 [01:00<03:22,  1.39it/s]
Loading 0:  23%|██▎       | 83/363 [01:00<02:50,  1.64it/s]
Loading 0:  23%|██▎       | 84/363 [01:00<02:15,  2.05it/s]
Loading 0:  24%|██▎       | 86/363 [01:02<03:12,  1.44it/s]
Loading 0:  24%|██▍       | 87/363 [01:04<04:36,  1.00s/it]
Loading 0:  25%|██▍       | 90/363 [01:06<03:46,  1.21it/s]
Loading 0:  25%|██▌       | 91/363 [01:08<04:43,  1.04s/it]
Loading 0:  25%|██▌       | 92/363 [01:10<05:39,  1.25s/it]
Loading 0:  26%|██▌       | 95/363 [01:11<03:06,  1.43it/s]
Loading 0:  26%|██▋       | 96/363 [01:11<02:43,  1.63it/s]
Loading 0:  27%|██▋       | 97/363 [01:11<02:15,  1.96it/s]
Loading 0:  27%|██▋       | 99/363 [01:13<03:00,  1.46it/s]
Loading 0:  28%|██▊       | 100/363 [01:15<04:10,  1.05it/s]
Loading 0:  28%|██▊       | 101/363 [01:17<05:14,  1.20s/it]
Loading 0:  29%|██▊       | 104/363 [01:17<02:49,  1.53it/s]
Loading 0:  29%|██▉       | 105/363 [01:17<02:28,  1.74it/s]
Loading 0:  29%|██▉       | 106/363 [01:18<02:03,  2.09it/s]
Loading 0:  29%|██▉       | 107/363 [01:18<01:42,  2.50it/s]
Loading 0:  30%|██▉       | 108/363 [01:20<03:21,  1.26it/s]
Loading 0:  31%|███       | 111/363 [01:22<03:01,  1.39it/s]
Loading 0:  31%|███       | 112/363 [01:24<04:02,  1.04it/s]
Loading 0:  31%|███       | 113/363 [01:26<05:00,  1.20s/it]
Loading 0:  32%|███▏      | 116/363 [01:26<02:43,  1.51it/s]
Loading 0:  32%|███▏      | 117/363 [01:26<02:23,  1.71it/s]
Loading 0:  33%|███▎      | 118/363 [01:26<01:58,  2.06it/s]
Loading 0:  33%|███▎      | 120/363 [01:28<02:43,  1.48it/s]
Loading 0:  33%|███▎      | 121/363 [01:30<03:48,  1.06it/s]
Loading 0:  34%|███▎      | 122/363 [01:32<04:49,  1.20s/it]
Loading 0:  34%|███▍      | 125/363 [01:32<02:34,  1.54it/s]
Loading 0:  35%|███▍      | 126/363 [01:33<02:15,  1.75it/s]
Loading 0:  35%|███▍      | 127/363 [01:33<01:51,  2.11it/s]
Loading 0:  36%|███▌      | 129/363 [01:35<02:35,  1.50it/s]
Loading 0:  36%|███▌      | 130/363 [01:37<03:38,  1.06it/s]
Loading 0:  36%|███▌      | 131/363 [01:39<04:36,  1.19s/it]
Loading 0:  37%|███▋      | 134/363 [01:39<02:27,  1.55it/s]
Loading 0:  37%|███▋      | 135/363 [01:39<02:09,  1.76it/s]
Loading 0:  37%|███▋      | 136/363 [01:39<01:47,  2.12it/s]
Loading 0:  38%|███▊      | 138/363 [01:41<02:30,  1.50it/s]
Loading 0:  38%|███▊      | 139/363 [01:43<03:31,  1.06it/s]
Loading 0:  39%|███▊      | 140/363 [01:45<04:27,  1.20s/it]
Loading 0:  39%|███▉      | 143/363 [01:46<02:21,  1.55it/s]
Loading 0:  40%|███▉      | 144/363 [01:46<02:04,  1.76it/s]
Loading 0:  40%|███▉      | 145/363 [01:46<01:43,  2.12it/s]
Loading 0:  40%|████      | 147/363 [01:46<01:15,  2.85it/s]
Loading 0:  41%|████      | 148/363 [01:47<01:10,  3.05it/s]
Loading 0:  41%|████      | 149/363 [01:47<00:59,  3.59it/s]
Loading 0:  41%|████▏     | 150/363 [01:47<00:51,  4.11it/s]
Loading 0:  42%|████▏     | 151/363 [01:49<02:27,  1.44it/s]
Loading 0:  42%|████▏     | 152/363 [01:51<03:39,  1.04s/it]
Loading 0:  42%|████▏     | 153/363 [01:53<04:37,  1.32s/it]
Loading 0:  43%|████▎     | 156/363 [01:55<03:17,  1.05it/s]
Loading 0:  43%|████▎     | 157/363 [01:57<03:59,  1.16s/it]
Loading 0:  44%|████▎     | 158/363 [01:59<04:38,  1.36s/it]
Loading 0:  44%|████▍     | 161/363 [01:59<02:28,  1.36it/s]
Loading 0:  45%|████▍     | 162/363 [01:59<02:09,  1.55it/s]
Loading 0:  45%|████▍     | 163/363 [01:59<01:46,  1.88it/s]
Loading 0:  45%|████▌     | 165/363 [02:01<02:18,  1.43it/s]
Loading 0:  46%|████▌     | 166/363 [02:03<03:10,  1.03it/s]
Loading 0:  46%|████▌     | 167/363 [02:05<03:58,  1.22s/it]
Loading 0:  47%|████▋     | 170/363 [02:06<02:07,  1.52it/s]
Loading 0:  47%|████▋     | 171/363 [02:06<01:51,  1.73it/s]
Loading 0:  47%|████▋     | 172/363 [02:06<01:31,  2.08it/s]
Loading 0:  48%|████▊     | 174/363 [02:08<02:06,  1.49it/s]
Loading 0:  48%|████▊     | 175/363 [02:10<02:57,  1.06it/s]
Loading 0:  48%|████▊     | 176/363 [02:12<03:43,  1.20s/it]
Loading 0:  49%|████▉     | 179/363 [02:12<01:59,  1.54it/s]
Loading 0:  50%|████▉     | 180/363 [02:13<01:44,  1.75it/s]
Loading 0:  50%|████▉     | 181/363 [02:13<01:26,  2.11it/s]
Loading 0:  50%|█████     | 182/363 [02:15<02:29,  1.21it/s]
Loading 0:  51%|█████     | 184/363 [02:15<01:39,  1.80it/s]
Loading 0:  51%|█████     | 185/363 [02:15<01:26,  2.06it/s]
Loading 0:  51%|█████     | 186/363 [02:15<01:10,  2.50it/s]
Loading 0:  52%|█████▏    | 187/363 [02:15<00:58,  3.02it/s]
Loading 0:  52%|█████▏    | 188/363 [02:17<02:14,  1.31it/s]
Loading 0:  52%|█████▏    | 189/363 [02:19<03:14,  1.12s/it]
Loading 0:  53%|█████▎    | 192/363 [02:21<02:27,  1.16it/s]
Loading 0:  53%|█████▎    | 193/363 [02:23<03:04,  1.09s/it]
Loading 0:  53%|█████▎    | 194/363 [02:25<03:39,  1.30s/it]
Loading 0:  54%|█████▍    | 197/363 [02:26<01:57,  1.41it/s]
Loading 0:  55%|█████▍    | 198/363 [02:26<01:42,  1.61it/s]
Loading 0:  55%|█████▍    | 199/363 [02:26<01:24,  1.94it/s]
Loading 0:  55%|█████▌    | 201/363 [02:28<01:52,  1.45it/s]
Loading 0:  56%|█████▌    | 202/363 [02:30<02:34,  1.04it/s]
Loading 0:  56%|█████▌    | 203/363 [02:32<03:13,  1.21s/it]
Loading 0:  57%|█████▋    | 206/363 [02:32<01:43,  1.52it/s]
Loading 0:  57%|█████▋    | 207/363 [02:32<01:30,  1.73it/s]
Loading 0:  57%|█████▋    | 208/363 [02:33<01:14,  2.09it/s]
Loading 0:  58%|█████▊    | 210/363 [02:35<01:42,  1.49it/s]
Loading 0:  58%|█████▊    | 211/363 [02:37<02:23,  1.06it/s]
Loading 0:  58%|█████▊    | 212/363 [02:39<03:00,  1.19s/it]
Loading 0:  59%|█████▉    | 215/363 [02:39<01:35,  1.55it/s]
Loading 0:  60%|█████▉    | 216/363 [02:39<01:23,  1.76it/s]
Loading 0:  60%|█████▉    | 217/363 [02:39<01:09,  2.11it/s]
Loading 0:  60%|██████    | 218/363 [02:41<01:59,  1.21it/s]
Loading 0:  60%|██████    | 219/363 [02:43<02:41,  1.12s/it]
Loading 0:  61%|██████    | 221/363 [02:43<01:41,  1.39it/s]
Loading 0:  61%|██████    | 222/363 [02:44<01:25,  1.64it/s]
Loading 0:  61%|██████▏   | 223/363 [02:44<01:08,  2.05it/s]
Loading 0:  62%|██████▏   | 224/363 [02:44<00:55,  2.52it/s]
Loading 0:  62%|██████▏   | 225/363 [02:46<01:53,  1.22it/s]
Loading 0:  63%|██████▎   | 228/363 [02:48<01:38,  1.37it/s]
Loading 0:  63%|██████▎   | 229/363 [02:50<02:10,  1.02it/s]
Loading 0:  63%|██████▎   | 230/363 [02:52<02:41,  1.21s/it]
Loading 0:  64%|██████▍   | 233/363 [02:52<01:26,  1.50it/s]
Loading 0:  64%|██████▍   | 234/363 [02:52<01:15,  1.70it/s]
Loading 0:  65%|██████▍   | 235/363 [02:53<01:02,  2.05it/s]
Loading 0:  65%|██████▌   | 237/363 [02:55<01:24,  1.48it/s]
Loading 0:  66%|██████▌   | 238/363 [02:56<01:58,  1.06it/s]
Loading 0:  66%|██████▌   | 239/363 [02:58<02:27,  1.19s/it]
Loading 0:  67%|██████▋   | 242/363 [02:59<01:18,  1.54it/s]
Loading 0:  67%|██████▋   | 243/363 [02:59<01:08,  1.75it/s]
Loading 0:  67%|██████▋   | 244/363 [02:59<00:56,  2.11it/s]
Loading 0:  68%|██████▊   | 246/363 [03:01<01:18,  1.50it/s]
Loading 0:  68%|██████▊   | 247/363 [03:03<01:49,  1.06it/s]
Loading 0:  68%|██████▊   | 248/363 [03:05<02:17,  1.20s/it]
Loading 0:  69%|██████▉   | 251/363 [03:05<01:12,  1.54it/s]
Loading 0:  69%|██████▉   | 252/363 [03:06<01:03,  1.75it/s]
Loading 0:  70%|██████▉   | 253/363 [03:06<00:52,  2.11it/s]
Loading 0:  70%|███████   | 255/363 [03:08<01:12,  1.50it/s]
Loading 0:  71%|███████   | 256/363 [03:10<01:40,  1.06it/s]
Loading 0:  71%|███████   | 257/363 [03:12<02:06,  1.20s/it]
Loading 0:  72%|███████▏  | 260/363 [03:12<01:06,  1.54it/s]
Loading 0:  72%|███████▏  | 261/363 [03:12<00:58,  1.75it/s]
Loading 0:  72%|███████▏  | 262/363 [03:12<00:47,  2.11it/s]
Loading 0:  73%|███████▎  | 264/363 [03:13<00:34,  2.84it/s]
Loading 0:  73%|███████▎  | 265/363 [03:13<00:32,  3.04it/s]
Loading 0:  73%|███████▎  | 266/363 [03:13<00:27,  3.56it/s]
Loading 0:  74%|███████▎  | 267/363 [03:13<00:23,  4.09it/s]
Loading 0:  74%|███████▍  | 268/363 [03:15<01:05,  1.44it/s]
Loading 0:  74%|███████▍  | 269/363 [03:17<01:37,  1.04s/it]
Loading 0:  74%|███████▍  | 270/363 [03:19<02:02,  1.31s/it]
Loading 0:  75%|███████▌  | 273/363 [03:34<04:56,  3.29s/it]
Loading 0:  75%|███████▌  | 274/363 [03:36<04:28,  3.01s/it]
Loading 0:  76%|███████▌  | 275/363 [03:38<04:06,  2.80s/it]
Loading 0:  77%|███████▋  | 278/363 [03:38<02:04,  1.47s/it]
Loading 0:  77%|███████▋  | 279/363 [03:38<01:43,  1.23s/it]
Loading 0:  77%|███████▋  | 280/363 [03:39<01:22,  1.01it/s]
Loading 0:  78%|███████▊  | 282/363 [03:41<01:20,  1.01it/s]
Loading 0:  78%|███████▊  | 283/363 [03:42<01:35,  1.19s/it]
Loading 0:  78%|███████▊  | 284/363 [03:44<01:49,  1.38s/it]
Loading 0:  79%|███████▉  | 287/363 [03:45<00:56,  1.36it/s]
Loading 0:  79%|███████▉  | 288/363 [03:45<00:47,  1.57it/s]
Loading 0:  80%|███████▉  | 289/363 [03:45<00:38,  1.90it/s]
Loading 0:  80%|████████  | 291/363 [03:47<00:50,  1.43it/s]
Loading 0:  80%|████████  | 292/363 [03:49<01:08,  1.04it/s]
Loading 0:  81%|████████  | 293/363 [03:51<01:24,  1.21s/it]
Loading 0:  82%|████████▏ | 296/363 [03:51<00:43,  1.54it/s]
Loading 0:  82%|████████▏ | 297/363 [03:52<00:37,  1.76it/s]
Loading 0:  82%|████████▏ | 298/363 [03:52<00:30,  2.13it/s]
Loading 0:  82%|████████▏ | 299/363 [03:54<00:52,  1.22it/s]
Loading 0:  83%|████████▎ | 301/363 [03:54<00:33,  1.84it/s]
Loading 0:  83%|████████▎ | 302/363 [03:54<00:28,  2.12it/s]
Loading 0:  83%|████████▎ | 303/363 [03:54<00:23,  2.57it/s]
Loading 0:  84%|████████▎ | 304/363 [03:54<00:19,  3.10it/s]
Loading 0:  84%|████████▍ | 305/363 [03:56<00:44,  1.32it/s]
Loading 0:  84%|████████▍ | 306/363 [03:58<01:02,  1.10s/it]
Loading 0:  85%|████████▌ | 309/363 [04:00<00:46,  1.17it/s]
Loading 0:  85%|████████▌ | 310/363 [04:02<00:57,  1.08s/it]
Loading 0:  86%|████████▌ | 311/363 [04:04<01:07,  1.30s/it]
Loading 0:  87%|████████▋ | 314/363 [04:05<00:34,  1.42it/s]
Loading 0:  87%|████████▋ | 315/363 [04:05<00:29,  1.63it/s]
Loading 0:  87%|████████▋ | 316/363 [04:05<00:23,  1.97it/s]
Loading 0:  88%|████████▊ | 318/363 [04:07<00:30,  1.46it/s]
Loading 0:  88%|████████▊ | 319/363 [04:09<00:41,  1.05it/s]
Loading 0:  88%|████████▊ | 320/363 [04:11<00:51,  1.20s/it]
Loading 0:  89%|████████▉ | 323/363 [04:11<00:25,  1.55it/s]
Loading 0:  89%|████████▉ | 324/363 [04:11<00:21,  1.78it/s]
Loading 0:  90%|████████▉ | 325/363 [04:11<00:17,  2.14it/s]
Loading 0:  90%|█████████ | 327/363 [04:13<00:23,  1.51it/s]
Loading 0:  90%|█████████ | 328/363 [04:15<00:32,  1.07it/s]
Loading 0:  91%|█████████ | 329/363 [04:17<00:40,  1.19s/it]
Loading 0:  91%|█████████▏| 332/363 [04:18<00:19,  1.56it/s]
Loading 0:  92%|█████████▏| 333/363 [04:18<00:16,  1.79it/s]
Loading 0:  92%|█████████▏| 334/363 [04:18<00:13,  2.16it/s]
Loading 0:  92%|█████████▏| 335/363 [04:20<00:22,  1.23it/s]
Loading 0:  93%|█████████▎| 336/363 [04:22<00:30,  1.12s/it]
Loading 0:  93%|█████████▎| 338/363 [04:22<00:17,  1.41it/s]
Loading 0:  93%|█████████▎| 339/363 [04:22<00:14,  1.68it/s]
Loading 0:  94%|█████████▎| 340/363 [04:22<00:10,  2.10it/s]
Loading 0:  94%|█████████▍| 341/363 [04:23<00:09,  2.34it/s]
Loading 0:  94%|█████████▍| 343/363 [04:25<00:13,  1.51it/s]
Loading 0:  95%|█████████▌| 346/363 [04:27<00:11,  1.52it/s]
Loading 0:  96%|█████████▌| 347/363 [04:29<00:14,  1.12it/s]
Loading 0:  96%|█████████▌| 348/363 [04:31<00:16,  1.13s/it]
Loading 0:  97%|█████████▋| 351/363 [04:31<00:07,  1.56it/s]
Loading 0:  97%|█████████▋| 352/363 [04:31<00:06,  1.77it/s]
Loading 0:  97%|█████████▋| 353/363 [04:31<00:04,  2.11it/s]
Loading 0:  98%|█████████▊| 355/363 [04:33<00:05,  1.49it/s]
Loading 0:  98%|█████████▊| 356/363 [04:35<00:06,  1.07it/s]
Loading 0:  98%|█████████▊| 357/363 [04:37<00:07,  1.19s/it]
Loading 0:  99%|█████████▉| 360/363 [04:38<00:01,  1.55it/s]
Loading 0:  99%|█████████▉| 361/363 [04:38<00:01,  1.77it/s]
Loading 0: 100%|█████████▉| 362/363 [04:38<00:00,  2.13it/s]
                                                            

Job chaiml-mn24b-v2preferwi-49028-v2-mkmlizer completed after 492.56s with status: succeeded
Stopping job with name chaiml-mn24b-v2preferwi-49028-v2-mkmlizer
Pipeline stage MKMLizer completed in 493.50s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.22s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mn24b-v2preferwi-49028-v2
Waiting for inference service chaiml-mn24b-v2preferwi-49028-v2 to be ready
Inference service chaiml-mn24b-v2preferwi-49028-v2 ready after 50.27801251411438s
Pipeline stage MKMLDeployer completed in 51.35s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1515300273895264s
Received healthy response to inference request in 1.9719414710998535s
Received healthy response to inference request in 1.843714952468872s
Received healthy response to inference request in 1.9893035888671875s
Received healthy response to inference request in 2.2465386390686035s
5 requests
0 failed requests
5th percentile: 1.8693602561950684
10th percentile: 1.8950055599212647
20th percentile: 1.9462961673736572
30th percentile: 1.9754138946533204
40th percentile: 1.982358741760254
50th percentile: 1.9893035888671875
60th percentile: 2.0541941642761232
70th percentile: 2.1190847396850585
80th percentile: 2.170531749725342
90th percentile: 2.2085351943969727
95th percentile: 2.227536916732788
99th percentile: 2.2427382946014403
mean time: 2.0406057357788088
Pipeline stage StressChecker completed in 13.70s
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 0.93s
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 0.93s
Shutdown handler de-registered
chaiml-mn24b-v2preferwi_49028_v2 status is now deployed due to DeploymentManager action
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 2866.12s
Shutdown handler de-registered
chaiml-mn24b-v2preferwi_49028_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-mn24b-v2preferwi_49028_v2 status is now torndown due to DeploymentManager action