chaiml-kimid-v1-cosine

developer_uid: zonemercy
submission_id: chaiml-kimid-v1-cosine_v27
model_name: test
model_group: ChaiML/kimid-v1_cosine
status: inactive
timestamp: 2025-12-05T08:47:01+00:00
num_battles: 25111
num_wins: 12954
celo_rating: 1255.85
family_friendly_score: 0.5056
family_friendly_standard_error: 0.007070624300583366
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': 0.2539007801493105, 'latency_mean': 3.938477383852005, 'latency_p50': 4.254515290260315, 'latency_p90': 5.453755164146423}, {'batch_size': 2, 'throughput': 0.636937633868315, 'latency_mean': 3.1360797822475432, 'latency_p50': 3.1215299367904663, 'latency_p90': 3.4369779586791993}, {'batch_size': 3, 'throughput': 0.7766379728807974, 'latency_mean': 3.853288460969925, 'latency_p50': 3.85130512714386, 'latency_p90': 4.1377349376678465}, {'batch_size': 4, 'throughput': 0.8771252834826458, 'latency_mean': 4.5458991956710815, 'latency_p50': 4.540820360183716, 'latency_p90': 4.843885326385498}, {'batch_size': 5, 'throughput': 0.9356605335894517, 'latency_mean': 5.300236654281616, 'latency_p50': 5.3101584911346436, 'latency_p90': 6.046919798851013}]
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: 0.27
us_pacific_date: 2025-12-04
win_ratio: 0.5158695392457489
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>', 'User:', 'You:'], '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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-kimid-v1-cosine-v27-mkmlizer
Waiting for job on chaiml-kimid-v1-cosine-v27-mkmlizer to finish
chaiml-kimid-v1-cosine-v27-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-kimid-v1-cosine-v27-mkmlizer: bash: no job control in this shell
chaiml-kimid-v1-cosine-v27-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-v27-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-kimid-v1-cosine-v27-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-kimid-v1-cosine-v27-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║  belonging to:                                                      ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ║                                                                     ║
chaiml-kimid-v1-cosine-v27-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-kimid-v1-cosine-v27-mkmlizer: Downloaded to shared memory in 35.900s
chaiml-kimid-v1-cosine-v27-mkmlizer: Checking if ChaiML/kimid-v1_cosine already exists in ChaiML
chaiml-kimid-v1-cosine-v27-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpg0_002fr, device:0
chaiml-kimid-v1-cosine-v27-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-kimid-v1-cosine-v27-mkmlizer: 
Loading 0:   0%|          | 0.00/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 3.00/363 [00:01<03:49, 1.57it/s]
Loading 0:   1%|          | 3.00/363 [00:01<03:49, 1.57it/s]
Loading 0:   1%|          | 4.00/363 [00:03<06:12, 1.04s/it]
Loading 0:   1%|          | 4.00/363 [00:03<06:12, 1.04s/it]
Loading 0:   1%|▏         | 5.00/363 [00:05<08:14, 1.38s/it]
Loading 0:   1%|▏         | 5.00/363 [00:05<08:14, 1.38s/it]
Loading 0:   3%|▎         | 12.0/363 [00:08<03:36, 1.62it/s]
Loading 0:   3%|▎         | 12.0/363 [00:08<03:36, 1.62it/s]
Loading 0:   4%|▎         | 13.0/363 [00:10<04:34, 1.27it/s]
Loading 0:   4%|▎         | 13.0/363 [00:10<04:34, 1.27it/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 [00:14<03:25, 1.66it/s]
Loading 0:   6%|▌         | 21.0/363 [00:14<03:25, 1.66it/s]
Loading 0:   6%|▌         | 22.0/363 [00:16<04:13, 1.34it/s]
Loading 0:   6%|▌         | 22.0/363 [00:16<04:13, 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, 2.24it/s]
Loading 0:   9%|▊         | 31.0/363 [00:20<02:28, 2.24it/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 [00:27<04:06, 1.32it/s]
Loading 0:  11%|█         | 39.0/363 [00:27<04:06, 1.32it/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<04:56, 1.05it/s]
Loading 0:  14%|█▍        | 50.0/363 [00:38<04:56, 1.05it/s]
Loading 0:  16%|█▌        | 57.0/363 [00:40<03:05, 1.65it/s]
Loading 0:  16%|█▌        | 57.0/363 [00:40<03:05, 1.65it/s]
Loading 0:  16%|█▌        | 58.0/363 [00:42<03:46, 1.35it/s]
Loading 0:  16%|█▌        | 58.0/363 [00:42<03:46, 1.35it/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 [00:49<02:45, 1.76it/s]
Loading 0:  20%|█▉        | 71.0/363 [00:49<02:45, 1.76it/s]
Loading 0:  20%|█▉        | 72.0/363 [00:51<03:20, 1.45it/s]
Loading 0:  20%|█▉        | 72.0/363 [00:51<03:20, 1.45it/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, 1.64it/s]
Loading 0:  24%|██▎       | 86.0/363 [01:00<02:48, 1.64it/s]
Loading 0:  24%|██▍       | 87.0/363 [01:02<03:26, 1.33it/s]
Loading 0:  24%|██▍       | 87.0/363 [01:02<03:26, 1.33it/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<02:46, 1.59it/s]
Loading 0:  27%|██▋       | 99.0/363 [01:11<02:46, 1.59it/s]
Loading 0:  28%|██▊       | 100/363 [01:13<03:21, 1.30it/s] 
Loading 0:  28%|██▊       | 100/363 [01:13<03:21, 1.30it/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<03:51, 1.08it/s]
Loading 0:  31%|███       | 113/363 [01:23<03:51, 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 [01:27<02:58, 1.36it/s]
Loading 0:  33%|███▎      | 121/363 [01:27<02:58, 1.36it/s]
Loading 0:  34%|███▎      | 122/363 [01:29<03:37, 1.11it/s]
Loading 0:  34%|███▎      | 122/363 [01:29<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<03:17, 1.13it/s]
Loading 0:  39%|███▊      | 140/363 [01:42<03:17, 1.13it/s]
Loading 0:  41%|████      | 148/363 [01:43<01:36, 2.23it/s]
Loading 0:  41%|████      | 148/363 [01:43<01:36, 2.23it/s]
Loading 0:  42%|████▏     | 151/363 [01:46<01:49, 1.93it/s]
Loading 0:  42%|████▏     | 151/363 [01:46<01:49, 1.93it/s]
Loading 0:  42%|████▏     | 152/363 [01:47<02:18, 1.52it/s]
Loading 0:  42%|████▏     | 152/363 [01:47<02:18, 1.52it/s]
Loading 0:  42%|████▏     | 153/363 [01:49<02:54, 1.21it/s]
Loading 0:  42%|████▏     | 153/363 [01:49<02:54, 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, 1.11s/it]
Loading 0:  44%|████▎     | 158/363 [01:55<03:46, 1.11s/it]
Loading 0:  45%|████▌     | 165/363 [01:58<02:05, 1.57it/s]
Loading 0:  45%|████▌     | 165/363 [01:58<02:05, 1.57it/s]
Loading 0:  46%|████▌     | 166/363 [02:00<02:33, 1.29it/s]
Loading 0:  46%|████▌     | 166/363 [02:00<02:33, 1.29it/s]
Loading 0:  46%|████▌     | 167/363 [02:02<03:05, 1.06it/s]
Loading 0:  46%|████▌     | 167/363 [02:02<03:05, 1.06it/s]
Loading 0:  48%|████▊     | 174/363 [02:04<01:54, 1.66it/s]
Loading 0:  48%|████▊     | 174/363 [02:04<01:54, 1.66it/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<02:48, 1.11it/s]
Loading 0:  48%|████▊     | 176/363 [02:08<02:48, 1.11it/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<02:00, 1.44it/s]
Loading 0:  52%|█████▏    | 189/363 [02:15<02:00, 1.44it/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, 1.61it/s]
Loading 0:  55%|█████▌    | 201/363 [02:24<01:40, 1.61it/s]
Loading 0:  56%|█████▌    | 202/363 [02:25<02:01, 1.32it/s]
Loading 0:  56%|█████▌    | 202/363 [02:25<02:01, 1.32it/s]
Loading 0:  56%|█████▌    | 203/363 [02:27<02:27, 1.09it/s]
Loading 0:  56%|█████▌    | 203/363 [02:27<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, 1.36it/s]
Loading 0:  58%|█████▊    | 211/363 [02:32<01:51, 1.36it/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<01:15, 1.66it/s]
Loading 0:  65%|██████▌   | 237/363 [02:49<01:15, 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<01:09, 1.67it/s]
Loading 0:  68%|██████▊   | 246/363 [02:56<01:09, 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<00:44, 2.23it/s]
Loading 0:  73%|███████▎  | 265/363 [03:07<00:44, 2.23it/s]
Loading 0:  74%|███████▍  | 268/363 [03:09<00:48, 1.94it/s]
Loading 0:  74%|███████▍  | 268/363 [03:09<00:48, 1.94it/s]
Loading 0:  74%|███████▍  | 269/363 [03:11<01:01, 1.53it/s]
Loading 0:  74%|███████▍  | 269/363 [03:11<01:01, 1.53it/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 [03:28<03:27, 2.31s/it]
Loading 0:  75%|███████▌  | 273/363 [03:28<03:27, 2.31s/it]
Loading 0:  75%|███████▌  | 274/363 [03:30<03:19, 2.24s/it]
Loading 0:  75%|███████▌  | 274/363 [03:30<03:19, 2.24s/it]
Loading 0:  76%|███████▌  | 275/363 [03:32<03:13, 2.20s/it]
Loading 0:  76%|███████▌  | 275/363 [03:32<03:13, 2.20s/it]
Loading 0:  78%|███████▊  | 282/363 [03:35<01:24, 1.04s/it]
Loading 0:  78%|███████▊  | 282/363 [03:35<01:24, 1.04s/it]
Loading 0:  78%|███████▊  | 283/363 [03:36<01:30, 1.14s/it]
Loading 0:  78%|███████▊  | 283/363 [03:36<01:30, 1.14s/it]
Loading 0:  78%|███████▊  | 284/363 [03:38<01:38, 1.25s/it]
Loading 0:  78%|███████▊  | 284/363 [03:38<01:38, 1.25s/it]
Loading 0:  80%|████████  | 291/363 [03:41<00:52, 1.37it/s]
Loading 0:  80%|████████  | 291/363 [03:41<00:52, 1.37it/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, 1.00s/it]
Loading 0:  81%|████████  | 293/363 [03:45<01:10, 1.00s/it]
Loading 0:  82%|████████▏ | 299/363 [03:47<00:44, 1.45it/s]
Loading 0:  82%|████████▏ | 299/363 [03:47<00:44, 1.45it/s]
Loading 0:  84%|████████▍ | 305/363 [03:50<00:33, 1.71it/s]
Loading 0:  84%|████████▍ | 305/363 [03:50<00:33, 1.71it/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<00:43, 1.20it/s]
Loading 0:  85%|████████▌ | 310/363 [03:56<00:43, 1.20it/s]
Loading 0:  86%|████████▌ | 311/363 [03:58<00:51, 1.00it/s]
Loading 0:  86%|████████▌ | 311/363 [03:58<00:51, 1.00it/s]
Loading 0:  88%|████████▊ | 318/363 [04:00<00:27, 1.62it/s]
Loading 0:  88%|████████▊ | 318/363 [04:00<00:27, 1.62it/s]
Loading 0:  88%|████████▊ | 319/363 [04:02<00:33, 1.33it/s]
Loading 0:  88%|████████▊ | 319/363 [04:02<00:33, 1.33it/s]
Loading 0:  88%|████████▊ | 320/363 [04:04<00:39, 1.09it/s]
Loading 0:  88%|████████▊ | 320/363 [04:04<00:39, 1.09it/s]
Loading 0:  90%|█████████ | 327/363 [04:07<00:21, 1.68it/s]
Loading 0:  90%|█████████ | 327/363 [04:07<00:21, 1.68it/s]
Loading 0:  90%|█████████ | 328/363 [04:08<00:25, 1.37it/s]
Loading 0:  90%|█████████ | 328/363 [04:08<00:25, 1.37it/s]
Loading 0:  91%|█████████ | 329/363 [04:10<00:30, 1.13it/s]
Loading 0:  91%|█████████ | 329/363 [04:10<00:30, 1.13it/s]
Loading 0:  92%|█████████▏| 335/363 [04:13<00:17, 1.57it/s]
Loading 0:  92%|█████████▏| 335/363 [04:13<00:17, 1.57it/s]
Loading 0:  93%|█████████▎| 336/363 [04:15<00:21, 1.27it/s]
Loading 0:  93%|█████████▎| 336/363 [04:15<00:21, 1.27it/s]
Loading 0:  94%|█████████▍| 343/363 [04:18<00:11, 1.71it/s]
Loading 0:  94%|█████████▍| 343/363 [04:18<00:11, 1.71it/s]
Loading 0:  95%|█████████▌| 346/363 [04:19<00:10, 1.68it/s]
Loading 0:  95%|█████████▌| 346/363 [04:19<00:10, 1.68it/s]
Loading 0:  96%|█████████▌| 347/363 [04:21<00:11, 1.38it/s]
Loading 0:  96%|█████████▌| 347/363 [04:21<00:11, 1.38it/s]
Loading 0:  96%|█████████▌| 348/363 [04:23<00:13, 1.13it/s]
Loading 0:  96%|█████████▌| 348/363 [04:23<00:13, 1.13it/s]
Loading 0:  98%|█████████▊| 355/363 [04:26<00:04, 1.69it/s]
Loading 0:  98%|█████████▊| 355/363 [04:26<00:04, 1.69it/s]
Loading 0:  98%|█████████▊| 356/363 [04:28<00:05, 1.38it/s]
Loading 0:  98%|█████████▊| 356/363 [04:28<00:05, 1.38it/s]
Loading 0:  98%|█████████▊| 357/363 [04:30<00:05, 1.13it/s]
Loading 0:  98%|█████████▊| 357/363 [04:30<00:05, 1.13it/s]
Loading 0: 100%|██████████| 363/363 [04:30<00:00, 2.07it/s]
Loading 0: 100%|██████████| 363/363 [04:30<00:00, 2.07it/s]
                                                           

Loading 0: 100%|██████████| 363/363 [04:30<00:00, 1.34it/s]
chaiml-kimid-v1-cosine-v27-mkmlizer: The tokenizer you are loading from '/tmp/tmpg0_002fr' 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-v27-mkmlizer: quantized model in 276.688s
chaiml-kimid-v1-cosine-v27-mkmlizer: Processed model ChaiML/kimid-v1_cosine in 312.588s
chaiml-kimid-v1-cosine-v27-mkmlizer: creating bucket guanaco-mkml-models
chaiml-kimid-v1-cosine-v27-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-kimid-v1-cosine-v27-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v27/nvidia
chaiml-kimid-v1-cosine-v27-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v27/nvidia/config.json
chaiml-kimid-v1-cosine-v27-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v27/nvidia/special_tokens_map.json
chaiml-kimid-v1-cosine-v27-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v27/nvidia/tokenizer_config.json
chaiml-kimid-v1-cosine-v27-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v27/nvidia/tokenizer.json
chaiml-kimid-v1-cosine-v27-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v27/nvidia/flywheel_model.1.safetensors
chaiml-kimid-v1-cosine-v27-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-kimid-v1-cosine-v27/nvidia/flywheel_model.0.safetensors
Job chaiml-kimid-v1-cosine-v27-mkmlizer completed after 363.79s with status: succeeded
Stopping job with name chaiml-kimid-v1-cosine-v27-mkmlizer
Pipeline stage MKMLizer completed in 364.81s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.94s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-kimid-v1-cosine-v27
Waiting for inference service chaiml-kimid-v1-cosine-v27 to be ready
Inference service chaiml-kimid-v1-cosine-v27 ready after 182.06175446510315s
Pipeline stage MKMLDeployer completed in 183.39s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7241086959838867s
Received healthy response to inference request in 2.2665278911590576s
Received healthy response to inference request in 1.7873430252075195s
Received healthy response to inference request in 2.2963743209838867s
Received healthy response to inference request in 2.3446543216705322s
5 requests
0 failed requests
5th percentile: 1.8831799983978272
10th percentile: 1.9790169715881347
20th percentile: 2.17069091796875
30th percentile: 2.2724971771240234
40th percentile: 2.284435749053955
50th percentile: 2.2963743209838867
60th percentile: 2.315686321258545
70th percentile: 2.3349983215332033
80th percentile: 2.420545196533203
90th percentile: 2.5723269462585447
95th percentile: 2.6482178211212157
99th percentile: 2.7089305210113523
mean time: 2.2838016510009767
Pipeline stage StressChecker completed in 13.52s
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 0.63s
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 0.90s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v27 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 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-kimid-v1-cosine-v27-profiler
Waiting for inference service chaiml-kimid-v1-cosine-v27-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 2948.48s
Shutdown handler de-registered
chaiml-kimid-v1-cosine_v27 status is now inactive due to auto deactivation removed underperforming models