developer_uid: zonemercy
submission_id: chaiml-cs-feed-score-sf_63890_v4
model_name: chaiml-cs-feed-score-sf_63890_v4
model_group: ChaiML/cs-feed-score_sft
status: torndown
timestamp: 2025-10-02T17:14:20+00:00
num_battles: 5349
num_wins: 2717
celo_rating: 1295.18
family_friendly_score: 0.49939999999999996
family_friendly_standard_error: 0.0070710627206948175
submission_type: basic
model_repo: ChaiML/cs-feed-score_sft_full-lr2e6
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': 0.462368157701135, 'latency_mean': 2.1626707983016966, 'latency_p50': 2.166117787361145, 'latency_p90': 2.3720711708068847}, {'batch_size': 2, 'throughput': 0.6744603623152329, 'latency_mean': 2.9592760264873506, 'latency_p50': 2.9503443241119385, 'latency_p90': 3.1893208742141725}, {'batch_size': 3, 'throughput': 0.8195491415400924, 'latency_mean': 3.64941201210022, 'latency_p50': 3.6437443494796753, 'latency_p90': 3.896046447753906}, {'batch_size': 4, 'throughput': 0.917194221950884, 'latency_mean': 4.330590968132019, 'latency_p50': 4.328505635261536, 'latency_p90': 4.756286311149597}, {'batch_size': 5, 'throughput': 0.9693445533789501, 'latency_mean': 5.134886548519135, 'latency_p50': 5.158631324768066, 'latency_p90': 5.935176181793213}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-cs-feed-score-sf_63890_v4
is_internal_developer: True
language_model: ChaiML/cs-feed-score_sft_full-lr2e6
model_size: 24B
ranking_group: single
throughput_3p7s: 0.83
us_pacific_date: 2025-10-02
win_ratio: 0.5079454103570761
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': ['####', '</s>', '\n', '####\n', 'You:'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'You: {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-cs-feed-score-sf-63890-v4-mkmlizer
Waiting for job on chaiml-cs-feed-score-sf-63890-v4-mkmlizer to finish
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ║                                                                     ║
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: Downloaded to shared memory in 59.615s
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: Checking if ChaiML/cs-feed-score_sft_full-lr2e6 already exists in ChaiML
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpspqu3b1y, device:0
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: quantized model in 286.185s
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: Processed model ChaiML/cs-feed-score_sft_full-lr2e6 in 345.800s
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v4/nvidia
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v4/nvidia/config.json
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v4/nvidia/special_tokens_map.json
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v4/nvidia/tokenizer_config.json
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v4/nvidia/tokenizer.json
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v4/nvidia/flywheel_model.1.safetensors
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-cs-feed-score-sf-63890-v4/nvidia/flywheel_model.0.safetensors
chaiml-cs-feed-score-sf-63890-v4-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 3/363 [00:02<04:15,  1.41it/s]
Loading 0:   1%|          | 4/363 [00:04<06:39,  1.11s/it]
Loading 0:   1%|▏         | 5/363 [00:06<08:24,  1.41s/it]
Loading 0:   2%|▏         | 8/363 [00:06<03:54,  1.52it/s]
Loading 0:   2%|▏         | 9/363 [00:06<03:25,  1.72it/s]
Loading 0:   3%|▎         | 10/363 [00:06<02:46,  2.12it/s]
Loading 0:   3%|▎         | 12/363 [00:08<03:58,  1.47it/s]
Loading 0:   4%|▎         | 13/363 [00:10<05:38,  1.03it/s]
Loading 0:   4%|▍         | 14/363 [00:12<07:09,  1.23s/it]
Loading 0:   5%|▍         | 17/363 [00:13<03:47,  1.52it/s]
Loading 0:   5%|▍         | 18/363 [00:13<03:19,  1.73it/s]
Loading 0:   5%|▌         | 19/363 [00:13<02:44,  2.09it/s]
Loading 0:   6%|▌         | 21/363 [00:15<03:50,  1.49it/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<03:39,  1.53it/s]
Loading 0:   7%|▋         | 27/363 [00:20<03:12,  1.74it/s]
Loading 0:   8%|▊         | 28/363 [00:20<02:39,  2.10it/s]
Loading 0:   8%|▊         | 30/363 [00:20<01:56,  2.87it/s]
Loading 0:   9%|▊         | 31/363 [00:20<01:48,  3.05it/s]
Loading 0:   9%|▉         | 32/363 [00:20<01:32,  3.59it/s]
Loading 0:   9%|▉         | 33/363 [00:21<01:21,  4.06it/s]
Loading 0:   9%|▉         | 34/363 [00:22<03:50,  1.43it/s]
Loading 0:  10%|▉         | 35/363 [00:24<05:42,  1.04s/it]
Loading 0:  10%|▉         | 36/363 [00:26<07:13,  1.33s/it]
Loading 0:  11%|█         | 39/363 [00:29<05:14,  1.03it/s]
Loading 0:  11%|█         | 40/363 [00:30<06:20,  1.18s/it]
Loading 0:  11%|█▏        | 41/363 [00:33<07:22,  1.37s/it]
Loading 0:  12%|█▏        | 44/363 [00:33<03:57,  1.35it/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,  1.02it/s]
Loading 0:  14%|█▍        | 50/363 [00:39<06:23,  1.23s/it]
Loading 0:  15%|█▍        | 53/363 [00:39<03:24,  1.51it/s]
Loading 0:  15%|█▍        | 54/363 [00:40<02:59,  1.72it/s]
Loading 0:  15%|█▌        | 55/363 [00:40<02:28,  2.08it/s]
Loading 0:  16%|█▌        | 57/363 [00:42<03:25,  1.49it/s]
Loading 0:  16%|█▌        | 58/363 [00:44<04:49,  1.05it/s]
Loading 0:  16%|█▋        | 59/363 [00:46<06:05,  1.20s/it]
Loading 0:  17%|█▋        | 62/363 [00:46<03:16,  1.53it/s]
Loading 0:  17%|█▋        | 63/363 [00:46<02:52,  1.74it/s]
Loading 0:  18%|█▊        | 64/363 [00:46<02:22,  2.10it/s]
Loading 0:  18%|█▊        | 65/363 [00:48<04:06,  1.21it/s]
Loading 0:  18%|█▊        | 67/363 [00:49<02:44,  1.80it/s]
Loading 0:  19%|█▊        | 68/363 [00:49<02:23,  2.05it/s]
Loading 0:  19%|█▉        | 69/363 [00:49<01:58,  2.49it/s]
Loading 0:  19%|█▉        | 70/363 [00:49<01:36,  3.03it/s]
Loading 0:  20%|█▉        | 71/363 [00:51<03:44,  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,  1.48it/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,  1.18it/s]
Loading 0:  22%|██▏       | 80/363 [01:00<05:26,  1.16s/it]
Loading 0:  23%|██▎       | 82/363 [01:00<03:24,  1.37it/s]
Loading 0:  23%|██▎       | 83/363 [01:00<02:52,  1.62it/s]
Loading 0:  23%|██▎       | 84/363 [01:01<02:17,  2.03it/s]
Loading 0:  24%|██▎       | 86/363 [01:03<03:13,  1.43it/s]
Loading 0:  24%|██▍       | 87/363 [01:05<04:38,  1.01s/it]
Loading 0:  25%|██▍       | 90/363 [01:07<03:47,  1.20it/s]
Loading 0:  25%|██▌       | 91/363 [01:09<04:45,  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,  1.45it/s]
Loading 0:  28%|██▊       | 100/363 [01:15<04:12,  1.04it/s]
Loading 0:  28%|██▊       | 101/363 [01:17<05:16,  1.21s/it]
Loading 0:  29%|██▊       | 104/363 [01:18<02:50,  1.52it/s]
Loading 0:  29%|██▉       | 105/363 [01:18<02:29,  1.73it/s]
Loading 0:  29%|██▉       | 106/363 [01:18<02:04,  2.06it/s]
Loading 0:  29%|██▉       | 107/363 [01:18<01:43,  2.48it/s]
Loading 0:  30%|██▉       | 108/363 [01:20<03:23,  1.25it/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<05:02,  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<02:45,  1.47it/s]
Loading 0:  33%|███▎      | 121/363 [01:31<03:50,  1.05it/s]
Loading 0:  34%|███▎      | 122/363 [01:33<04:51,  1.21s/it]
Loading 0:  34%|███▍      | 125/363 [01:33<02:35,  1.53it/s]
Loading 0:  35%|███▍      | 126/363 [01:33<02:16,  1.74it/s]
Loading 0:  35%|███▍      | 127/363 [01:33<01:52,  2.09it/s]
Loading 0:  36%|███▌      | 129/363 [01:35<02:37,  1.49it/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<02:28,  1.54it/s]
Loading 0:  37%|███▋      | 135/363 [01:40<02:10,  1.75it/s]
Loading 0:  37%|███▋      | 136/363 [01:40<01:47,  2.10it/s]
Loading 0:  38%|███▊      | 138/363 [01:42<02:30,  1.49it/s]
Loading 0:  38%|███▊      | 139/363 [01:44<03:32,  1.05it/s]
Loading 0:  39%|███▊      | 140/363 [01:46<04:27,  1.20s/it]
Loading 0:  39%|███▉      | 143/363 [01:46<02:23,  1.54it/s]
Loading 0:  40%|███▉      | 144/363 [01:47<02:05,  1.75it/s]
Loading 0:  40%|███▉      | 145/363 [01:47<01:44,  2.10it/s]
Loading 0:  40%|████      | 147/363 [01:47<01:16,  2.83it/s]
Loading 0:  41%|████      | 148/363 [01:47<01:11,  3.02it/s]
Loading 0:  41%|████      | 149/363 [01:47<01:00,  3.55it/s]
Loading 0:  41%|████▏     | 150/363 [01:47<00:52,  4.07it/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<03:18,  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<02:29,  1.35it/s]
Loading 0:  45%|████▍     | 162/363 [02:00<02:10,  1.54it/s]
Loading 0:  45%|████▍     | 163/363 [02:00<01:47,  1.87it/s]
Loading 0:  45%|████▌     | 165/363 [02:02<02:20,  1.41it/s]
Loading 0:  46%|████▌     | 166/363 [02:04<03:12,  1.03it/s]
Loading 0:  46%|████▌     | 167/363 [02:06<03:59,  1.22s/it]
Loading 0:  47%|████▋     | 170/363 [02:06<02:07,  1.51it/s]
Loading 0:  47%|████▋     | 171/363 [02:07<01:51,  1.72it/s]
Loading 0:  47%|████▋     | 172/363 [02:07<01:31,  2.08it/s]
Loading 0:  48%|████▊     | 174/363 [02:09<02:07,  1.49it/s]
Loading 0:  48%|████▊     | 175/363 [02:11<02:58,  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<02:29,  1.21it/s]
Loading 0:  51%|█████     | 184/363 [02:16<01:39,  1.80it/s]
Loading 0:  51%|█████     | 185/363 [02:16<01:26,  2.06it/s]
Loading 0:  51%|█████     | 186/363 [02:16<01:10,  2.51it/s]
Loading 0:  52%|█████▏    | 187/363 [02:16<00:58,  3.03it/s]
Loading 0:  52%|█████▏    | 188/363 [02:18<02:14,  1.30it/s]
Loading 0:  52%|█████▏    | 189/363 [02:20<03:14,  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<03:40,  1.31s/it]
Loading 0:  54%|█████▍    | 197/363 [02:26<01:58,  1.40it/s]
Loading 0:  55%|█████▍    | 198/363 [02:27<01:42,  1.60it/s]
Loading 0:  55%|█████▍    | 199/363 [02:27<01:24,  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,  1.73it/s]
Loading 0:  57%|█████▋    | 208/363 [02:33<01:14,  2.07it/s]
Loading 0:  58%|█████▊    | 210/363 [02:35<01:42,  1.49it/s]
Loading 0:  58%|█████▊    | 211/363 [02:37<02:24,  1.06it/s]
Loading 0:  58%|█████▊    | 212/363 [02:39<03:01,  1.20s/it]
Loading 0:  59%|█████▉    | 215/363 [02:40<01:36,  1.54it/s]
Loading 0:  60%|█████▉    | 216/363 [02:40<01:24,  1.74it/s]
Loading 0:  60%|█████▉    | 217/363 [02:40<01:09,  2.10it/s]
Loading 0:  60%|██████    | 218/363 [02:42<01:59,  1.21it/s]
Loading 0:  60%|██████    | 219/363 [02:44<02:42,  1.13s/it]
Loading 0:  61%|██████    | 221/363 [02:44<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,  1.22it/s]
Loading 0:  63%|██████▎   | 228/363 [02:49<01:38,  1.37it/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 [02:53<01:16,  1.69it/s]
Loading 0:  65%|██████▍   | 235/363 [02:53<01:02,  2.04it/s]
Loading 0:  65%|██████▌   | 237/363 [02:55<01:25,  1.48it/s]
Loading 0:  66%|██████▌   | 238/363 [02:57<01:58,  1.05it/s]
Loading 0:  66%|██████▌   | 239/363 [02:59<02:28,  1.20s/it]
Loading 0:  67%|██████▋   | 242/363 [03:00<01:18,  1.54it/s]
Loading 0:  67%|██████▋   | 243/363 [03:00<01:08,  1.75it/s]
Loading 0:  67%|██████▋   | 244/363 [03:00<00:56,  2.11it/s]
Loading 0:  68%|██████▊   | 246/363 [03:02<01:18,  1.49it/s]
Loading 0:  68%|██████▊   | 247/363 [03:04<01:49,  1.06it/s]
Loading 0:  68%|██████▊   | 248/363 [03:06<02:18,  1.20s/it]
Loading 0:  69%|██████▉   | 251/363 [03:06<01:12,  1.53it/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,  1.50it/s]
Loading 0:  71%|███████   | 256/363 [03:11<01:41,  1.06it/s]
Loading 0:  71%|███████   | 257/363 [03:13<02:06,  1.20s/it]
Loading 0:  72%|███████▏  | 260/363 [03:13<01:06,  1.54it/s]
Loading 0:  72%|███████▏  | 261/363 [03:13<00:58,  1.75it/s]
Loading 0:  72%|███████▏  | 262/363 [03:13<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,  3.57it/s]
Loading 0:  74%|███████▎  | 267/363 [03:14<00:23,  4.09it/s]
Loading 0:  74%|███████▍  | 268/363 [03:16<01:06,  1.44it/s]
Loading 0:  74%|███████▍  | 269/363 [03:18<01:37,  1.04s/it]
Loading 0:  74%|███████▍  | 270/363 [03:20<02:02,  1.32s/it]
Loading 0:  75%|███████▌  | 273/363 [03:35<05:00,  3.34s/it]
Loading 0:  75%|███████▌  | 274/363 [03:37<04:31,  3.05s/it]
Loading 0:  76%|███████▌  | 275/363 [03:39<04:09,  2.83s/it]
Loading 0:  77%|███████▋  | 278/363 [03:39<02:06,  1.48s/it]
Loading 0:  77%|███████▋  | 279/363 [03:40<01:44,  1.24s/it]
Loading 0:  77%|███████▋  | 280/363 [03:40<01:23,  1.00s/it]
Loading 0:  78%|███████▊  | 282/363 [03:42<01:20,  1.00it/s]
Loading 0:  78%|███████▊  | 283/363 [03:44<01:36,  1.20s/it]
Loading 0:  78%|███████▊  | 284/363 [03:46<01:50,  1.40s/it]
Loading 0:  79%|███████▉  | 287/363 [03:46<00:56,  1.34it/s]
Loading 0:  79%|███████▉  | 288/363 [03:46<00:48,  1.55it/s]
Loading 0:  80%|███████▉  | 289/363 [03:46<00:39,  1.89it/s]
Loading 0:  80%|████████  | 291/363 [03:48<00:50,  1.42it/s]
Loading 0:  80%|████████  | 292/363 [03:50<01:08,  1.03it/s]
Loading 0:  81%|████████  | 293/363 [03:52<01:25,  1.22s/it]
Loading 0:  82%|████████▏ | 296/363 [03:53<00:43,  1.53it/s]
Loading 0:  82%|████████▏ | 297/363 [03:53<00:37,  1.75it/s]
Loading 0:  82%|████████▏ | 298/363 [03:53<00:30,  2.11it/s]
Loading 0:  82%|████████▏ | 299/363 [03:55<00:52,  1.21it/s]
Loading 0:  83%|████████▎ | 301/363 [03:55<00:33,  1.83it/s]
Loading 0:  83%|████████▎ | 302/363 [03:55<00:28,  2.11it/s]
Loading 0:  83%|████████▎ | 303/363 [03:56<00:23,  2.57it/s]
Loading 0:  84%|████████▎ | 304/363 [03:56<00:19,  3.09it/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<00:30,  1.45it/s]
Loading 0:  88%|████████▊ | 319/363 [04:10<00:42,  1.04it/s]
Loading 0:  88%|████████▊ | 320/363 [04:12<00:51,  1.21s/it]
Loading 0:  89%|████████▉ | 323/363 [04:12<00:25,  1.54it/s]
Loading 0:  89%|████████▉ | 324/363 [04:13<00:22,  1.76it/s]
Loading 0:  90%|████████▉ | 325/363 [04:13<00:17,  2.13it/s]
Loading 0:  90%|█████████ | 327/363 [04:15<00:23,  1.50it/s]
Loading 0:  90%|█████████ | 328/363 [04:17<00:32,  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,  1.78it/s]
Loading 0:  92%|█████████▏| 334/363 [04:19<00:13,  2.15it/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,  1.41it/s]
Loading 0:  93%|█████████▎| 339/363 [04:24<00:14,  1.67it/s]
Loading 0:  94%|█████████▎| 340/363 [04:24<00:11,  2.09it/s]
Loading 0:  94%|█████████▍| 341/363 [04:24<00:09,  2.32it/s]
Loading 0:  94%|█████████▍| 343/363 [04:26<00:13,  1.50it/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 [04:32<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,  1.19s/it]
Loading 0:  99%|█████████▉| 360/363 [04:39<00:01,  1.55it/s]
Loading 0:  99%|█████████▉| 361/363 [04:39<00:01,  1.76it/s]
Loading 0: 100%|█████████▉| 362/363 [04:39<00:00,  2.13it/s]
                                                            

Job chaiml-cs-feed-score-sf-63890-v4-mkmlizer completed after 416.25s with status: succeeded
Stopping job with name chaiml-cs-feed-score-sf-63890-v4-mkmlizer
Pipeline stage MKMLizer completed in 416.80s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.28s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-cs-feed-score-sf-63890-v4
Waiting for inference service chaiml-cs-feed-score-sf-63890-v4 to be ready
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', '')
Inference service chaiml-cs-feed-score-sf-63890-v4 ready after 60.687984228134155s
Pipeline stage MKMLDeployer completed in 61.91s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.213636636734009s
Received healthy response to inference request in 1.784911870956421s
Received healthy response to inference request in 2.3162875175476074s
Received healthy response to inference request in 2.7296247482299805s
Received healthy response to inference request in 2.5175423622131348s
5 requests
0 failed requests
5th percentile: 1.8706568241119386
10th percentile: 1.956401777267456
20th percentile: 2.127891683578491
30th percentile: 2.2341668128967287
40th percentile: 2.275227165222168
50th percentile: 2.3162875175476074
60th percentile: 2.3967894554138183
70th percentile: 2.477291393280029
80th percentile: 2.559958839416504
90th percentile: 2.6447917938232424
95th percentile: 2.6872082710266114
99th percentile: 2.7211414527893067
mean time: 2.3124006271362303
Pipeline stage StressChecker completed in 12.92s
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 1.00s
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-cs-feed-score-sf_63890_v4 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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-cs-feed-score-sf-63890-v4-profiler
Waiting for inference service chaiml-cs-feed-score-sf-63890-v4-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2939.59s
Shutdown handler de-registered
chaiml-cs-feed-score-sf_63890_v4 status is now inactive due to auto deactivation removed underperforming models
chaiml-cs-feed-score-sf_63890_v4 status is now torndown due to DeploymentManager action