developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine_v28
model_name: test
model_group: ChaiML/kimid-v1_cosine
status: inactive
timestamp: 2025-12-05T10:16:41+00:00
num_battles: 26324
num_wins: 13409
celo_rating: 1255.85
family_friendly_score: 0.5126
family_friendly_standard_error: 0.007068822249851809
submission_type: basic
model_repo: ChaiML/kimid-v1_cosine
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 72
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.42380683363905064, 'latency_mean': 2.359500789642334, 'latency_p50': 2.3487730026245117, 'latency_p90': 2.570482540130615}, {'batch_size': 2, 'throughput': 0.6345915243761169, 'latency_mean': 3.142230669260025, 'latency_p50': 3.150525450706482, 'latency_p90': 3.3835591316223144}, {'batch_size': 3, 'throughput': 0.7693304883827278, 'latency_mean': 3.8838287210464477, 'latency_p50': 3.889273166656494, 'latency_p90': 4.247697639465332}, {'batch_size': 4, 'throughput': 0.8683977561661076, 'latency_mean': 4.590856775045395, 'latency_p50': 4.597933650016785, 'latency_p90': 5.0986546039581295}, {'batch_size': 5, 'throughput': 0.9240537446312023, 'latency_mean': 5.393855972290039, 'latency_p50': 5.406209588050842, 'latency_p90': 6.127071166038513}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/kimid-v1_cosine
model_size: 24B
ranking_group: single
throughput_3p7s: 0.74
us_pacific_date: 2025-12-05
win_ratio: 0.5093830724813858
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>', 'You:', 'User:'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 72}
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': '####\n{bot_name}:', 'truncate_by_message': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
Connection pool is full, discarding connection: %s. Connection pool size: %s
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-kimid-v1-cosine-v28-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-v28-mkmlizer to finish
Stopping job with name chaiml-kimid-v1-cosine-v28-mkmlizer
%s, retrying in %s seconds...
Starting job with name chaiml-kimid-v1-cosine-v28-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-v28-mkmlizer to finish
chaiml-kimid-v1-cosine-v28-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-v28-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-v28-mkmlizer: /root/miniconda3/envs/nvidia/lib/python3.11/site-packages/mk1/__init__.py:1: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.
chaiml-kimid-v1-cosine-v28-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-v28-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-v28-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v28-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-v28-mkmlizer: Downloaded to shared memory in 38.682s
chaiml-kimid-v1-cosine-v28-mkmlizer: Checking if ChaiML/kimid-v1_cosine already exists in ChaiML
chaiml-kimid-v1-cosine-v28-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpvw3ul87s, device:0
chaiml-kimid-v1-cosine-v28-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v1-cosine-v28-mkmlizer: 
Loading 0:   0%|          | 0.00/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 3.00/363 [00:02<04:06, 1.46it/s]
Loading 0:   1%|          | 3.00/363 [00:02<04:06, 1.46it/s]
Loading 0:   1%|          | 4.00/363 [00:03<06:23, 1.07s/it]
Loading 0:   1%|          | 4.00/363 [00:03<06:23, 1.07s/it]
Loading 0:   1%|▏         | 5.00/363 [00:05<08:07, 1.36s/it]
Loading 0:   1%|▏         | 5.00/363 [00:05<08:07, 1.36s/it]
Loading 0:   3%|▎         | 12.0/363 [00:08<03:35, 1.63it/s]
Loading 0:   3%|▎         | 12.0/363 [00:08<03:35, 1.63it/s]
Loading 0:   4%|▎         | 13.0/363 [00:10<04:34, 1.28it/s]
Loading 0:   4%|▎         | 13.0/363 [00:10<04:34, 1.28it/s]
Loading 0:   4%|▍         | 14.0/363 [00:12<05:41, 1.02it/s]
Loading 0:   4%|▍         | 14.0/363 [00:12<05:41, 1.02it/s]
Loading 0:   6%|▌         | 21.0/363 [00:15<03:26, 1.66it/s]
Loading 0:   6%|▌         | 21.0/363 [00:15<03:26, 1.66it/s]
Loading 0:   6%|▌         | 22.0/363 [00:16<04:14, 1.34it/s]
Loading 0:   6%|▌         | 22.0/363 [00:16<04:14, 1.34it/s]
Loading 0:   6%|▋         | 23.0/363 [00:18<05:12, 1.09it/s]
Loading 0:   6%|▋         | 23.0/363 [00:18<05:12, 1.09it/s]
Loading 0:   9%|▊         | 31.0/363 [00:20<02:28, 2.23it/s]
Loading 0:   9%|▊         | 31.0/363 [00:20<02:28, 2.23it/s]
Loading 0:   9%|▉         | 34.0/363 [00:22<02:50, 1.93it/s]
Loading 0:   9%|▉         | 34.0/363 [00:22<02:50, 1.93it/s]
Loading 0:  10%|▉         | 35.0/363 [00:24<03:36, 1.51it/s]
Loading 0:  10%|▉         | 35.0/363 [00:24<03:36, 1.51it/s]
Loading 0:  10%|▉         | 36.0/363 [00:26<04:32, 1.20it/s]
Loading 0:  10%|▉         | 36.0/363 [00:26<04:32, 1.20it/s]
Loading 0:  11%|█         | 39.0/363 [00:28<04:06, 1.31it/s]
Loading 0:  11%|█         | 39.0/363 [00:28<04:06, 1.31it/s]
Loading 0:  11%|█         | 40.0/363 [00:29<04:58, 1.08it/s]
Loading 0:  11%|█         | 40.0/363 [00:29<04:58, 1.08it/s]
Loading 0:  11%|█▏        | 41.0/363 [00:31<05:57, 1.11s/it]
Loading 0:  11%|█▏        | 41.0/363 [00:31<05:57, 1.11s/it]
Loading 0:  13%|█▎        | 48.0/363 [00:34<03:21, 1.56it/s]
Loading 0:  13%|█▎        | 48.0/363 [00:34<03:21, 1.56it/s]
Loading 0:  13%|█▎        | 49.0/363 [00:36<04:05, 1.28it/s]
Loading 0:  13%|█▎        | 49.0/363 [00:36<04:05, 1.28it/s]
Loading 0:  14%|█▍        | 50.0/363 [00:38<04:57, 1.05it/s]
Loading 0:  14%|█▍        | 50.0/363 [00:38<04:57, 1.05it/s]
Loading 0:  16%|█▌        | 57.0/363 [00:40<03:06, 1.64it/s]
Loading 0:  16%|█▌        | 57.0/363 [00:40<03:06, 1.64it/s]
Loading 0:  16%|█▌        | 58.0/363 [00:42<03:46, 1.34it/s]
Loading 0:  16%|█▌        | 58.0/363 [00:42<03:46, 1.34it/s]
Loading 0:  16%|█▋        | 59.0/363 [00:44<04:35, 1.10it/s]
Loading 0:  16%|█▋        | 59.0/363 [00:44<04:35, 1.10it/s]
Loading 0:  18%|█▊        | 65.0/363 [00:47<03:13, 1.54it/s]
Loading 0:  18%|█▊        | 65.0/363 [00:47<03:13, 1.54it/s]
Loading 0:  20%|█▉        | 71.0/363 [00:50<02:44, 1.77it/s]
Loading 0:  20%|█▉        | 71.0/363 [00:50<02:44, 1.77it/s]
Loading 0:  20%|█▉        | 72.0/363 [00:51<03:19, 1.46it/s]
Loading 0:  20%|█▉        | 72.0/363 [00:51<03:19, 1.46it/s]
Loading 0:  20%|██        | 73.0/363 [00:53<04:03, 1.19it/s]
Loading 0:  20%|██        | 73.0/363 [00:53<04:03, 1.19it/s]
Loading 0:  22%|██▏       | 79.0/363 [00:56<02:59, 1.58it/s]
Loading 0:  22%|██▏       | 79.0/363 [00:56<02:59, 1.58it/s]
Loading 0:  22%|██▏       | 80.0/363 [00:58<03:40, 1.29it/s]
Loading 0:  22%|██▏       | 80.0/363 [00:58<03:40, 1.29it/s]
Loading 0:  24%|██▎       | 86.0/363 [01:00<02:48, 1.65it/s]
Loading 0:  24%|██▎       | 86.0/363 [01:00<02:48, 1.65it/s]
Loading 0:  24%|██▍       | 87.0/363 [01:02<03:26, 1.34it/s]
Loading 0:  24%|██▍       | 87.0/363 [01:02<03:26, 1.34it/s]
Loading 0:  25%|██▍       | 90.0/363 [01:04<03:14, 1.40it/s]
Loading 0:  25%|██▍       | 90.0/363 [01:04<03:14, 1.40it/s]
Loading 0:  25%|██▌       | 91.0/363 [01:06<03:53, 1.16it/s]
Loading 0:  25%|██▌       | 91.0/363 [01:06<03:53, 1.16it/s]
Loading 0:  25%|██▌       | 92.0/363 [01:08<04:39, 1.03s/it]
Loading 0:  25%|██▌       | 92.0/363 [01:08<04:39, 1.03s/it]
Loading 0:  27%|██▋       | 99.0/363 [01:11<02:45, 1.59it/s]
Loading 0:  27%|██▋       | 99.0/363 [01:11<02:45, 1.59it/s]
Loading 0:  28%|██▊       | 100/363 [01:13<03:21, 1.31it/s] 
Loading 0:  28%|██▊       | 100/363 [01:13<03:21, 1.31it/s]
Loading 0:  28%|██▊       | 101/363 [01:15<04:04, 1.07it/s]
Loading 0:  28%|██▊       | 101/363 [01:15<04:04, 1.07it/s]
Loading 0:  30%|██▉       | 108/363 [01:17<02:37, 1.62it/s]
Loading 0:  30%|██▉       | 108/363 [01:17<02:37, 1.62it/s]
Loading 0:  31%|███       | 111/363 [01:19<02:36, 1.61it/s]
Loading 0:  31%|███       | 111/363 [01:19<02:36, 1.61it/s]
Loading 0:  31%|███       | 112/363 [01:21<03:10, 1.32it/s]
Loading 0:  31%|███       | 112/363 [01:21<03:10, 1.32it/s]
Loading 0:  31%|███       | 113/363 [01:23<03:52, 1.08it/s]
Loading 0:  31%|███       | 113/363 [01:23<03:52, 1.08it/s]
Loading 0:  33%|███▎      | 120/363 [01:26<02:26, 1.66it/s]
Loading 0:  33%|███▎      | 120/363 [01:26<02:26, 1.66it/s]
Loading 0:  33%|███▎      | 121/363 [01:28<02:58, 1.35it/s]
Loading 0:  33%|███▎      | 121/363 [01:28<02:58, 1.35it/s]
Loading 0:  34%|███▎      | 122/363 [01:30<03:37, 1.11it/s]
Loading 0:  34%|███▎      | 122/363 [01:30<03:37, 1.11it/s]
Loading 0:  36%|███▌      | 129/363 [01:32<02:19, 1.68it/s]
Loading 0:  36%|███▌      | 129/363 [01:32<02:19, 1.68it/s]
Loading 0:  36%|███▌      | 130/363 [01:34<02:49, 1.37it/s]
Loading 0:  36%|███▌      | 130/363 [01:34<02:49, 1.37it/s]
Loading 0:  36%|███▌      | 131/363 [01:36<03:26, 1.12it/s]
Loading 0:  36%|███▌      | 131/363 [01:36<03:26, 1.12it/s]
Loading 0:  38%|███▊      | 138/363 [01:38<02:13, 1.69it/s]
Loading 0:  38%|███▊      | 138/363 [01:38<02:13, 1.69it/s]
Loading 0:  38%|███▊      | 139/363 [01:40<02:42, 1.38it/s]
Loading 0:  38%|███▊      | 139/363 [01:40<02:42, 1.38it/s]
Loading 0:  39%|███▊      | 140/363 [01:42<03:18, 1.13it/s]
Loading 0:  39%|███▊      | 140/363 [01:42<03:18, 1.13it/s]
Loading 0:  41%|████      | 148/363 [01:44<01:35, 2.25it/s]
Loading 0:  41%|████      | 148/363 [01:44<01:35, 2.25it/s]
Loading 0:  42%|████▏     | 151/363 [01:46<01:48, 1.95it/s]
Loading 0:  42%|████▏     | 151/363 [01:46<01:48, 1.95it/s]
Loading 0:  42%|████▏     | 152/363 [01:48<02:18, 1.53it/s]
Loading 0:  42%|████▏     | 152/363 [01:48<02:18, 1.53it/s]
Loading 0:  42%|████▏     | 153/363 [01:50<02:53, 1.21it/s]
Loading 0:  42%|████▏     | 153/363 [01:50<02:53, 1.21it/s]
Loading 0:  43%|████▎     | 156/363 [01:51<02:36, 1.32it/s]
Loading 0:  43%|████▎     | 156/363 [01:51<02:36, 1.32it/s]
Loading 0:  43%|████▎     | 157/363 [01:53<03:09, 1.09it/s]
Loading 0:  43%|████▎     | 157/363 [01:53<03:09, 1.09it/s]
Loading 0:  44%|████▎     | 158/363 [01:55<03:46, 1.10s/it]
Loading 0:  44%|████▎     | 158/363 [01:55<03:46, 1.10s/it]
Loading 0:  45%|████▌     | 165/363 [01:58<02:06, 1.57it/s]
Loading 0:  45%|████▌     | 165/363 [01:58<02:06, 1.57it/s]
Loading 0:  46%|████▌     | 166/363 [02:00<02:33, 1.28it/s]
Loading 0:  46%|████▌     | 166/363 [02:00<02:33, 1.28it/s]
Loading 0:  46%|████▌     | 167/363 [02:02<03:05, 1.05it/s]
Loading 0:  46%|████▌     | 167/363 [02:02<03:05, 1.05it/s]
Loading 0:  48%|████▊     | 174/363 [02:04<01:54, 1.65it/s]
Loading 0:  48%|████▊     | 174/363 [02:04<01:54, 1.65it/s]
Loading 0:  48%|████▊     | 175/363 [02:06<02:19, 1.35it/s]
Loading 0:  48%|████▊     | 175/363 [02:06<02:19, 1.35it/s]
Loading 0:  48%|████▊     | 176/363 [02:08<02:49, 1.10it/s]
Loading 0:  48%|████▊     | 176/363 [02:08<02:49, 1.10it/s]
Loading 0:  50%|█████     | 182/363 [02:11<01:57, 1.54it/s]
Loading 0:  50%|█████     | 182/363 [02:11<01:57, 1.54it/s]
Loading 0:  52%|█████▏    | 188/363 [02:13<01:38, 1.77it/s]
Loading 0:  52%|█████▏    | 188/363 [02:13<01:38, 1.77it/s]
Loading 0:  52%|█████▏    | 189/363 [02:15<02:01, 1.43it/s]
Loading 0:  52%|█████▏    | 189/363 [02:15<02:01, 1.43it/s]
Loading 0:  53%|█████▎    | 192/363 [02:17<01:55, 1.48it/s]
Loading 0:  53%|█████▎    | 192/363 [02:17<01:55, 1.48it/s]
Loading 0:  53%|█████▎    | 193/363 [02:19<02:19, 1.22it/s]
Loading 0:  53%|█████▎    | 193/363 [02:19<02:19, 1.22it/s]
Loading 0:  53%|█████▎    | 194/363 [02:21<02:47, 1.01it/s]
Loading 0:  53%|█████▎    | 194/363 [02:21<02:47, 1.01it/s]
Loading 0:  55%|█████▌    | 201/363 [02:24<01:40, 1.62it/s]
Loading 0:  55%|█████▌    | 201/363 [02:24<01:40, 1.62it/s]
Loading 0:  56%|█████▌    | 202/363 [02:26<02:01, 1.33it/s]
Loading 0:  56%|█████▌    | 202/363 [02:26<02:01, 1.33it/s]
Loading 0:  56%|█████▌    | 203/363 [02:28<02:27, 1.09it/s]
Loading 0:  56%|█████▌    | 203/363 [02:28<02:27, 1.09it/s]
Loading 0:  58%|█████▊    | 210/363 [02:30<01:31, 1.67it/s]
Loading 0:  58%|█████▊    | 210/363 [02:30<01:31, 1.67it/s]
Loading 0:  58%|█████▊    | 211/363 [02:32<01:51, 1.37it/s]
Loading 0:  58%|█████▊    | 211/363 [02:32<01:51, 1.37it/s]
Loading 0:  58%|█████▊    | 212/363 [02:34<02:15, 1.12it/s]
Loading 0:  58%|█████▊    | 212/363 [02:34<02:15, 1.12it/s]
Loading 0:  60%|██████    | 218/363 [02:36<01:33, 1.54it/s]
Loading 0:  60%|██████    | 218/363 [02:36<01:33, 1.54it/s]
Loading 0:  60%|██████    | 219/363 [02:38<01:54, 1.25it/s]
Loading 0:  60%|██████    | 219/363 [02:38<01:54, 1.25it/s]
Loading 0:  62%|██████▏   | 225/363 [02:41<01:26, 1.60it/s]
Loading 0:  62%|██████▏   | 225/363 [02:41<01:26, 1.60it/s]
Loading 0:  63%|██████▎   | 228/363 [02:43<01:24, 1.60it/s]
Loading 0:  63%|██████▎   | 228/363 [02:43<01:24, 1.60it/s]
Loading 0:  63%|██████▎   | 229/363 [02:45<01:42, 1.31it/s]
Loading 0:  63%|██████▎   | 229/363 [02:45<01:42, 1.31it/s]
Loading 0:  63%|██████▎   | 230/363 [02:47<02:03, 1.08it/s]
Loading 0:  63%|██████▎   | 230/363 [02:47<02:03, 1.08it/s]
Loading 0:  65%|██████▌   | 237/363 [02:49<01:16, 1.66it/s]
Loading 0:  65%|██████▌   | 237/363 [02:49<01:16, 1.66it/s]
Loading 0:  66%|██████▌   | 238/363 [02:51<01:32, 1.36it/s]
Loading 0:  66%|██████▌   | 238/363 [02:51<01:32, 1.36it/s]
Loading 0:  66%|██████▌   | 239/363 [02:53<01:51, 1.11it/s]
Loading 0:  66%|██████▌   | 239/363 [02:53<01:51, 1.11it/s]
Loading 0:  68%|██████▊   | 246/363 [02:56<01:10, 1.67it/s]
Loading 0:  68%|██████▊   | 246/363 [02:56<01:10, 1.67it/s]
Loading 0:  68%|██████▊   | 247/363 [02:58<01:24, 1.37it/s]
Loading 0:  68%|██████▊   | 247/363 [02:58<01:24, 1.37it/s]
Loading 0:  68%|██████▊   | 248/363 [03:00<01:42, 1.12it/s]
Loading 0:  68%|██████▊   | 248/363 [03:00<01:42, 1.12it/s]
Loading 0:  70%|███████   | 255/363 [03:02<01:04, 1.68it/s]
Loading 0:  70%|███████   | 255/363 [03:02<01:04, 1.68it/s]
Loading 0:  71%|███████   | 256/363 [03:04<01:17, 1.38it/s]
Loading 0:  71%|███████   | 256/363 [03:04<01:17, 1.38it/s]
Loading 0:  71%|███████   | 257/363 [03:06<01:34, 1.13it/s]
Loading 0:  71%|███████   | 257/363 [03:06<01:34, 1.13it/s]
Loading 0:  73%|███████▎  | 265/363 [03:07<00:43, 2.23it/s]
Loading 0:  73%|███████▎  | 265/363 [03:07<00:43, 2.23it/s]
Loading 0:  74%|███████▍  | 268/363 [03:09<00:49, 1.94it/s]
Loading 0:  74%|███████▍  | 268/363 [03:09<00:49, 1.94it/s]
Loading 0:  74%|███████▍  | 269/363 [03:11<01:01, 1.52it/s]
Loading 0:  74%|███████▍  | 269/363 [03:11<01:01, 1.52it/s]
Loading 0:  74%|███████▍  | 270/363 [03:13<01:16, 1.21it/s]
Loading 0:  74%|███████▍  | 270/363 [03:13<01:16, 1.21it/s]
Loading 0:  75%|███████▌  | 273/363 [03:29<03:30, 2.34s/it]
Loading 0:  75%|███████▌  | 273/363 [03:29<03:30, 2.34s/it]
Loading 0:  75%|███████▌  | 274/363 [03:30<03:22, 2.27s/it]
Loading 0:  75%|███████▌  | 274/363 [03:30<03:22, 2.27s/it]
Loading 0:  76%|███████▌  | 275/363 [03:33<03:16, 2.23s/it]
Loading 0:  76%|███████▌  | 275/363 [03:33<03:16, 2.23s/it]
Loading 0:  78%|███████▊  | 282/363 [03:35<01:25, 1.05s/it]
Loading 0:  78%|███████▊  | 282/363 [03:35<01:25, 1.05s/it]
Loading 0:  78%|███████▊  | 283/363 [03:37<01:31, 1.15s/it]
Loading 0:  78%|███████▊  | 283/363 [03:37<01:31, 1.15s/it]
Loading 0:  78%|███████▊  | 284/363 [03:39<01:39, 1.26s/it]
Loading 0:  78%|███████▊  | 284/363 [03:39<01:39, 1.26s/it]
Loading 0:  80%|████████  | 291/363 [03:41<00:52, 1.36it/s]
Loading 0:  80%|████████  | 291/363 [03:41<00:52, 1.36it/s]
Loading 0:  80%|████████  | 292/363 [03:43<01:00, 1.17it/s]
Loading 0:  80%|████████  | 292/363 [03:43<01:00, 1.17it/s]
Loading 0:  81%|████████  | 293/363 [03:45<01:10, 1.01s/it]
Loading 0:  81%|████████  | 293/363 [03:45<01:10, 1.01s/it]
Loading 0:  82%|████████▏ | 299/363 [03:48<00:44, 1.44it/s]
Loading 0:  82%|████████▏ | 299/363 [03:48<00:44, 1.44it/s]
Loading 0:  84%|████████▍ | 305/363 [03:50<00:34, 1.70it/s]
Loading 0:  84%|████████▍ | 305/363 [03:50<00:34, 1.70it/s]
Loading 0:  84%|████████▍ | 306/363 [03:52<00:40, 1.40it/s]
Loading 0:  84%|████████▍ | 306/363 [03:52<00:40, 1.40it/s]
Loading 0:  85%|████████▌ | 309/363 [03:54<00:37, 1.45it/s]
Loading 0:  85%|████████▌ | 309/363 [03:54<00:37, 1.45it/s]
Loading 0:  85%|████████▌ | 310/363 [03:56<00:44, 1.20it/s]
Loading 0:  85%|████████▌ | 310/363 [03:56<00:44, 1.20it/s]
Loading 0:  86%|████████▌ | 311/363 [03:58<00:52, 1.00s/it]
Loading 0:  86%|████████▌ | 311/363 [03:58<00:52, 1.00s/it]
Loading 0:  88%|████████▊ | 318/363 [04:01<00:27, 1.61it/s]
Loading 0:  88%|████████▊ | 318/363 [04:01<00:27, 1.61it/s]
Loading 0:  88%|████████▊ | 319/363 [04:03<00:33, 1.32it/s]
Loading 0:  88%|████████▊ | 319/363 [04:03<00:33, 1.32it/s]
Loading 0:  88%|████████▊ | 320/363 [04:05<00:39, 1.09it/s]
Loading 0:  88%|████████▊ | 320/363 [04:05<00:39, 1.09it/s]
Loading 0:  90%|█████████ | 327/363 [04:07<00:21, 1.67it/s]
Loading 0:  90%|█████████ | 327/363 [04:07<00:21, 1.67it/s]
Loading 0:  90%|█████████ | 328/363 [04:09<00:25, 1.37it/s]
Loading 0:  90%|█████████ | 328/363 [04:09<00:25, 1.37it/s]
Loading 0:  91%|█████████ | 329/363 [04:11<00:30, 1.12it/s]
Loading 0:  91%|█████████ | 329/363 [04:11<00:30, 1.12it/s]
Loading 0:  92%|█████████▏| 335/363 [04:13<00:18, 1.55it/s]
Loading 0:  92%|█████████▏| 335/363 [04:13<00:18, 1.55it/s]
Loading 0:  93%|█████████▎| 336/363 [04:15<00:21, 1.26it/s]
Loading 0:  93%|█████████▎| 336/363 [04:15<00:21, 1.26it/s]
Loading 0:  94%|█████████▍| 343/363 [04:18<00:11, 1.70it/s]
Loading 0:  94%|█████████▍| 343/363 [04:18<00:11, 1.70it/s]
Loading 0:  95%|█████████▌| 346/363 [04:20<00:10, 1.67it/s]
Loading 0:  95%|█████████▌| 346/363 [04:20<00:10, 1.67it/s]
Loading 0:  96%|█████████▌| 347/363 [04:22<00:11, 1.37it/s]
Loading 0:  96%|█████████▌| 347/363 [04:22<00:11, 1.37it/s]
Loading 0:  96%|█████████▌| 348/363 [04:24<00:13, 1.12it/s]
Loading 0:  96%|█████████▌| 348/363 [04:24<00:13, 1.12it/s]
Loading 0:  98%|█████████▊| 355/363 [04:27<00:04, 1.68it/s]
Loading 0:  98%|█████████▊| 355/363 [04:27<00:04, 1.68it/s]
Loading 0:  98%|█████████▊| 356/363 [04:28<00:05, 1.37it/s]
Loading 0:  98%|█████████▊| 356/363 [04:28<00:05, 1.37it/s]
Loading 0:  98%|█████████▊| 357/363 [04:30<00:05, 1.12it/s]
Loading 0:  98%|█████████▊| 357/363 [04:30<00:05, 1.12it/s]
Loading 0: 100%|██████████| 363/363 [04:31<00:00, 2.06it/s]
Loading 0: 100%|██████████| 363/363 [04:31<00:00, 2.06it/s]
                                                           

Loading 0: 100%|██████████| 363/363 [04:31<00:00, 1.34it/s]
chaiml-kimid-v1-cosine-v28-mkmlizer: The tokenizer you are loading from '/tmp/tmpvw3ul87s' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
chaiml-kimid-v1-cosine-v28-mkmlizer: quantized model in 277.933s
chaiml-kimid-v1-cosine-v28-mkmlizer: Processed model ChaiML/kimid-v1_cosine in 316.616s
chaiml-kimid-v1-cosine-v28-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v1-cosine-v28-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-v28-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v28/nvidia
chaiml-kimid-v1-cosine-v28-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v28/nvidia/config.json
chaiml-kimid-v1-cosine-v28-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v28/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-v28-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v28/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-v28-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v28/nvidia/tokenizer.json
chaiml-kimid-v1-cosine-v28-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v28/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-v28-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v28/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-v28-mkmlizer completed after 388.0s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-v28-mkmlizer
Pipeline stage MKMLizer completed in 389.29s
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-kimid-v1-cosine-v28
Waiting for inference service chaiml-kimid-v1-cosine-v28 to be ready
Inference service chaiml-kimid-v1-cosine-v28 ready after 190.7637677192688s
Pipeline stage MKMLDeployer completed in 191.27s
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 2.4786860942840576s
Received healthy response to inference request in 2.2714319229125977s
Received healthy response to inference request in 2.5038163661956787s
Received healthy response to inference request in 2.764997720718384s
5 requests
1 failed requests
5th percentile: 2.3128827571868897
10th percentile: 2.354333591461182
20th percentile: 2.4372352600097655
30th percentile: 2.483712148666382
40th percentile: 2.4937642574310304
50th percentile: 2.5038163661956787
60th percentile: 2.6082889080047607
70th percentile: 2.7127614498138426
80th percentile: 6.250950670242313
90th percentile: 13.222856569290162
95th percentile: 16.708809518814085
99th percentile: 19.497571878433227
mean time: 6.042738914489746
%s, retrying in %s seconds...
Received healthy response to inference request in 2.302788257598877s
Received healthy response to inference request in 1.9099724292755127s
Received healthy response to inference request in 2.4682841300964355s
Received healthy response to inference request in 2.24151349067688s
Received healthy response to inference request in 2.662259578704834s
5 requests
0 failed requests
5th percentile: 1.976280641555786
10th percentile: 2.0425888538360595
20th percentile: 2.1752052783966063
30th percentile: 2.2537684440612793
40th percentile: 2.278278350830078
50th percentile: 2.302788257598877
60th percentile: 2.3689866065979004
70th percentile: 2.435184955596924
80th percentile: 2.5070792198181153
90th percentile: 2.5846693992614744
95th percentile: 2.623464488983154
99th percentile: 2.654500560760498
mean time: 2.3169635772705077
Pipeline stage StressChecker completed in 44.50s
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 0.64s
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 0.65s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v28 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 0.09s
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-kimid-v1-cosine-v28-profiler
Waiting for inference service chaiml-kimid-v1-cosine-v28-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
Generating Leaderboard row for %s
Generated Leaderboard row for %s
Pipeline stage OfflineFamilyFriendlyScorer completed in 2953.52s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v28 status is now inactive due to auto deactivation removed underperforming models