developer_uid: rirv938
submission_id: chaiml-80p-20ff-chaiml-_20653_v2
model_name: chaiml-80p-20ff-chaiml-_20653_v2
model_group: ChaiML/80p_20ff_chaiml_m
status: torndown
timestamp: 2026-01-18T03:18:12+00:00
num_battles: 10868
num_wins: 5775
celo_rating: 1318.46
family_friendly_score: 0.4292
family_friendly_standard_error: 0.006999819426242366
submission_type: basic
model_repo: ChaiML/80p_20ff_chaiml_mistral_24b_2048_77769_v1_cp624_merged
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 96
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3525300810284823, 'latency_mean': 2.8365570545196532, 'latency_p50': 2.8277394771575928, 'latency_p90': 3.0392412662506105}, {'batch_size': 2, 'throughput': 0.5563655012528372, 'latency_mean': 3.5917142736911774, 'latency_p50': 3.587842345237732, 'latency_p90': 3.8130471467971803}, {'batch_size': 3, 'throughput': 0.7028541448860758, 'latency_mean': 4.25043890118599, 'latency_p50': 4.235246300697327, 'latency_p90': 4.570775866508484}, {'batch_size': 4, 'throughput': 0.7950780893542397, 'latency_mean': 5.01640802025795, 'latency_p50': 5.026989459991455, 'latency_p90': 5.3474514245986935}, {'batch_size': 5, 'throughput': 0.8634603990759547, 'latency_mean': 5.760707714557648, 'latency_p50': 5.776118040084839, 'latency_p90': 6.271003317832947}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-80p-20ff-chaiml-_20653_v2
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: ChaiML/80p_20ff_chaiml_mistral_24b_2048_77769_v1_cp624_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 0.58
us_pacific_date: 2026-01-14
win_ratio: 0.5313765182186235
generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 60, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['<|im_end|>', '<|im_start|>', 'You:', '###', '\n', '</s>'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 96}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name} <style="funny">:', 'truncate_by_message': False}
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-80p-20ff-chaiml-20653-v2-mkmlizer
Waiting for job on chaiml-80p-20ff-chaiml-20653-v2-mkmlizer to finish
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: bash: cannot set terminal process group (-1): Inappropriate ioctl for device
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: bash: no job control in this shell
chaiml-80p-20ff-chaiml-20653-v2-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-80p-20ff-chaiml-20653-v2-mkmlizer:   __import__('pkg_resources').declare_namespace(__name__)
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║                                                                     ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║                                                                     ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║  Version: 0.30.6+torch280                                           ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║                                                                     ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║                                                                     ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ║                                                                     ║
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Falling back to EndpointApi.from_submission implementation
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: Downloaded to shared memory in 97.594s
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: Checking if ChaiML/80p_20ff_chaiml_mistral_24b_2048_77769_v1_cp624_merged already exists in ChaiML
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpt5n5d1yt, device:0
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
HTTP Request: %s %s "%s %d %s"
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: 
Loading 0:   0%|          | 0.00/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 3.00/363 [00:01<03:52, 1.55it/s]
Loading 0:   1%|          | 3.00/363 [00:01<03:52, 1.55it/s]
Loading 0:   1%|          | 4.00/363 [00:03<06:16, 1.05s/it]
Loading 0:   1%|          | 4.00/363 [00:03<06:16, 1.05s/it]
Loading 0:   1%|▏         | 5.00/363 [00:05<08:05, 1.36s/it]
Loading 0:   1%|▏         | 5.00/363 [00:05<08:05, 1.36s/it]
Loading 0:   3%|▎         | 12.0/363 [00:07<02:39, 2.21it/s]
Loading 0:   3%|▎         | 12.0/363 [00:07<02:39, 2.21it/s]
Loading 0:   4%|▎         | 13.0/363 [00:08<03:46, 1.54it/s]
Loading 0:   4%|▎         | 13.0/363 [00:08<03:46, 1.54it/s]
Loading 0:   4%|▍         | 14.0/363 [00:10<04:56, 1.18it/s]
Loading 0:   4%|▍         | 14.0/363 [00:10<04:56, 1.18it/s]
Loading 0:   4%|▍         | 15.0/363 [00:12<06:12, 1.07s/it]
Loading 0:   4%|▍         | 15.0/363 [00:12<06:12, 1.07s/it]
Loading 0:   6%|▌         | 21.0/363 [00:15<03:43, 1.53it/s]
Loading 0:   6%|▌         | 21.0/363 [00:15<03:43, 1.53it/s]
Loading 0:   6%|▌         | 22.0/363 [00:17<04:37, 1.23it/s]
Loading 0:   6%|▌         | 22.0/363 [00:17<04:37, 1.23it/s]
Loading 0:   6%|▋         | 23.0/363 [00:19<05:39, 1.00it/s]
Loading 0:   6%|▋         | 23.0/363 [00:19<05:39, 1.00it/s]
Loading 0:   9%|▊         | 31.0/363 [00:20<02:31, 2.19it/s]
Loading 0:   9%|▊         | 31.0/363 [00:20<02:31, 2.19it/s]
Loading 0:   9%|▉         | 34.0/363 [00:22<02:53, 1.90it/s]
Loading 0:   9%|▉         | 34.0/363 [00:22<02:53, 1.90it/s]
Loading 0:  10%|▉         | 35.0/363 [00:24<03:41, 1.48it/s]
Loading 0:  10%|▉         | 35.0/363 [00:24<03:41, 1.48it/s]
Loading 0:  10%|▉         | 36.0/363 [00:26<04:42, 1.16it/s]
Loading 0:  10%|▉         | 36.0/363 [00:26<04:42, 1.16it/s]
Loading 0:  11%|█         | 39.0/363 [00:28<04:12, 1.28it/s]
Loading 0:  11%|█         | 39.0/363 [00:28<04:12, 1.28it/s]
Loading 0:  11%|█         | 40.0/363 [00:30<05:05, 1.06it/s]
Loading 0:  11%|█         | 40.0/363 [00:30<05:05, 1.06it/s]
Loading 0:  11%|█▏        | 41.0/363 [00:32<06:04, 1.13s/it]
Loading 0:  11%|█▏        | 41.0/363 [00:32<06:04, 1.13s/it]
Loading 0:  13%|█▎        | 49.0/363 [00:33<02:30, 2.09it/s]
Loading 0:  13%|█▎        | 49.0/363 [00:33<02:30, 2.09it/s]
Loading 0:  14%|█▍        | 52.0/363 [00:35<02:49, 1.84it/s]
Loading 0:  14%|█▍        | 52.0/363 [00:35<02:49, 1.84it/s]
Loading 0:  15%|█▍        | 53.0/363 [00:37<03:35, 1.44it/s]
Loading 0:  15%|█▍        | 53.0/363 [00:37<03:35, 1.44it/s]
Loading 0:  15%|█▍        | 54.0/363 [00:39<04:30, 1.14it/s]
Loading 0:  15%|█▍        | 54.0/363 [00:39<04:30, 1.14it/s]
Loading 0:  16%|█▌        | 57.0/363 [00:41<04:00, 1.27it/s]
Loading 0:  16%|█▌        | 57.0/363 [00:41<04:00, 1.27it/s]
Loading 0:  16%|█▌        | 58.0/363 [00:43<04:50, 1.05it/s]
Loading 0:  16%|█▌        | 58.0/363 [00:43<04:50, 1.05it/s]
Loading 0:  16%|█▋        | 59.0/363 [00:45<05:45, 1.14s/it]
Loading 0:  16%|█▋        | 59.0/363 [00:45<05:45, 1.14s/it]
Loading 0:  18%|█▊        | 67.0/363 [00:46<02:21, 2.10it/s]
Loading 0:  18%|█▊        | 67.0/363 [00:46<02:21, 2.10it/s]
Loading 0:  19%|█▉        | 70.0/363 [00:48<02:39, 1.84it/s]
Loading 0:  19%|█▉        | 70.0/363 [00:48<02:39, 1.84it/s]
Loading 0:  20%|█▉        | 71.0/363 [00:50<03:22, 1.44it/s]
Loading 0:  20%|█▉        | 71.0/363 [00:50<03:22, 1.44it/s]
Loading 0:  20%|█▉        | 72.0/363 [00:52<04:15, 1.14it/s]
Loading 0:  20%|█▉        | 72.0/363 [00:52<04:15, 1.14it/s]
Loading 0:  21%|██        | 75.0/363 [00:54<03:46, 1.27it/s]
Loading 0:  21%|██        | 75.0/363 [00:54<03:46, 1.27it/s]
Loading 0:  21%|██        | 76.0/363 [00:56<04:33, 1.05it/s]
Loading 0:  21%|██        | 76.0/363 [00:56<04:33, 1.05it/s]
Loading 0:  21%|██        | 77.0/363 [00:58<05:25, 1.14s/it]
Loading 0:  21%|██        | 77.0/363 [00:58<05:25, 1.14s/it]
Loading 0:  23%|██▎       | 85.0/363 [00:59<02:13, 2.08it/s]
Loading 0:  23%|██▎       | 85.0/363 [00:59<02:13, 2.08it/s]
Loading 0:  24%|██▍       | 88.0/363 [01:01<02:30, 1.83it/s]
Loading 0:  24%|██▍       | 88.0/363 [01:01<02:30, 1.83it/s]
Loading 0:  25%|██▍       | 89.0/363 [01:03<03:11, 1.43it/s]
Loading 0:  25%|██▍       | 89.0/363 [01:03<03:11, 1.43it/s]
Loading 0:  25%|██▍       | 90.0/363 [01:05<03:59, 1.14it/s]
Loading 0:  25%|██▍       | 90.0/363 [01:05<03:59, 1.14it/s]
Loading 0:  27%|██▋       | 98.0/363 [01:07<01:53, 2.32it/s]
Loading 0:  27%|██▋       | 98.0/363 [01:07<01:53, 2.32it/s]
Loading 0:  28%|██▊       | 101/363 [01:09<02:09, 2.02it/s] 
Loading 0:  28%|██▊       | 101/363 [01:09<02:09, 2.02it/s]
Loading 0:  28%|██▊       | 102/363 [01:10<02:47, 1.56it/s]
Loading 0:  28%|██▊       | 102/363 [01:10<02:47, 1.56it/s]
Loading 0:  28%|██▊       | 103/363 [01:12<03:32, 1.22it/s]
Loading 0:  28%|██▊       | 103/363 [01:12<03:32, 1.22it/s]
Loading 0:  29%|██▉       | 106/363 [01:15<03:17, 1.30it/s]
Loading 0:  29%|██▉       | 106/363 [01:15<03:17, 1.30it/s]
Loading 0:  29%|██▉       | 107/363 [01:16<03:58, 1.07it/s]
Loading 0:  29%|██▉       | 107/363 [01:16<03:58, 1.07it/s]
Loading 0:  30%|██▉       | 108/363 [01:18<04:44, 1.12s/it]
Loading 0:  30%|██▉       | 108/363 [01:18<04:44, 1.12s/it]
Loading 0:  31%|███       | 111/363 [01:20<03:50, 1.09it/s]
Loading 0:  31%|███       | 111/363 [01:20<03:50, 1.09it/s]
Loading 0:  31%|███       | 112/363 [01:22<04:31, 1.08s/it]
Loading 0:  31%|███       | 112/363 [01:22<04:31, 1.08s/it]
Loading 0:  31%|███       | 113/363 [01:24<05:15, 1.26s/it]
Loading 0:  31%|███       | 113/363 [01:24<05:15, 1.26s/it]
Loading 0:  33%|███▎      | 121/363 [01:25<02:00, 2.01it/s]
Loading 0:  33%|███▎      | 121/363 [01:25<02:00, 2.01it/s]
Loading 0:  34%|███▍      | 124/363 [01:28<02:13, 1.79it/s]
Loading 0:  34%|███▍      | 124/363 [01:28<02:13, 1.79it/s]
Loading 0:  34%|███▍      | 125/363 [01:30<02:49, 1.40it/s]
Loading 0:  34%|███▍      | 125/363 [01:30<02:49, 1.40it/s]
Loading 0:  35%|███▍      | 126/363 [01:32<03:31, 1.12it/s]
Loading 0:  35%|███▍      | 126/363 [01:32<03:31, 1.12it/s]
Loading 0:  36%|███▌      | 129/363 [01:33<03:06, 1.25it/s]
Loading 0:  36%|███▌      | 129/363 [01:33<03:06, 1.25it/s]
Loading 0:  36%|███▌      | 130/363 [01:35<03:44, 1.04it/s]
Loading 0:  36%|███▌      | 130/363 [01:35<03:44, 1.04it/s]
Loading 0:  36%|███▌      | 131/363 [01:37<04:27, 1.15s/it]
Loading 0:  36%|███▌      | 131/363 [01:37<04:27, 1.15s/it]
Loading 0:  38%|███▊      | 139/363 [01:39<01:47, 2.08it/s]
Loading 0:  38%|███▊      | 139/363 [01:39<01:47, 2.08it/s]
Loading 0:  39%|███▉      | 142/363 [01:41<02:00, 1.83it/s]
Loading 0:  39%|███▉      | 142/363 [01:41<02:00, 1.83it/s]
Loading 0:  39%|███▉      | 143/363 [01:43<02:33, 1.43it/s]
Loading 0:  39%|███▉      | 143/363 [01:43<02:33, 1.43it/s]
Loading 0:  40%|███▉      | 144/363 [01:45<03:13, 1.13it/s]
Loading 0:  40%|███▉      | 144/363 [01:45<03:13, 1.13it/s]
Loading 0:  40%|████      | 147/363 [01:47<02:51, 1.26it/s]
Loading 0:  40%|████      | 147/363 [01:47<02:51, 1.26it/s]
Loading 0:  41%|████      | 148/363 [01:49<03:26, 1.04it/s]
Loading 0:  41%|████      | 148/363 [01:49<03:26, 1.04it/s]
Loading 0:  41%|████      | 149/363 [01:51<04:05, 1.15s/it]
Loading 0:  41%|████      | 149/363 [01:51<04:05, 1.15s/it]
Loading 0:  43%|████▎     | 157/363 [01:52<01:38, 2.08it/s]
Loading 0:  43%|████▎     | 157/363 [01:52<01:38, 2.08it/s]
Loading 0:  44%|████▍     | 160/363 [01:54<01:51, 1.83it/s]
Loading 0:  44%|████▍     | 160/363 [01:54<01:51, 1.83it/s]
Loading 0:  44%|████▍     | 161/363 [01:56<02:20, 1.43it/s]
Loading 0:  44%|████▍     | 161/363 [01:56<02:20, 1.43it/s]
Loading 0:  45%|████▍     | 162/363 [01:58<02:56, 1.14it/s]
Loading 0:  45%|████▍     | 162/363 [01:58<02:56, 1.14it/s]
Loading 0:  45%|████▌     | 165/363 [02:00<02:36, 1.27it/s]
Loading 0:  45%|████▌     | 165/363 [02:00<02:36, 1.27it/s]
Loading 0:  46%|████▌     | 166/363 [02:02<03:08, 1.05it/s]
Loading 0:  46%|████▌     | 166/363 [02:02<03:08, 1.05it/s]
Loading 0:  46%|████▌     | 167/363 [02:04<03:43, 1.14s/it]
Loading 0:  46%|████▌     | 167/363 [02:04<03:43, 1.14s/it]
Loading 0:  48%|████▊     | 175/363 [02:05<01:30, 2.08it/s]
Loading 0:  48%|████▊     | 175/363 [02:05<01:30, 2.08it/s]
Loading 0:  49%|████▉     | 178/363 [02:07<01:41, 1.83it/s]
Loading 0:  49%|████▉     | 178/363 [02:07<01:41, 1.83it/s]
Loading 0:  49%|████▉     | 179/363 [02:09<02:08, 1.43it/s]
Loading 0:  49%|████▉     | 179/363 [02:09<02:08, 1.43it/s]
Loading 0:  50%|████▉     | 180/363 [02:11<02:40, 1.14it/s]
Loading 0:  50%|████▉     | 180/363 [02:11<02:40, 1.14it/s]
Loading 0:  50%|█████     | 183/363 [02:13<02:21, 1.27it/s]
Loading 0:  50%|█████     | 183/363 [02:13<02:21, 1.27it/s]
Loading 0:  51%|█████     | 184/363 [02:15<02:50, 1.05it/s]
Loading 0:  51%|█████     | 184/363 [02:15<02:50, 1.05it/s]
Loading 0:  51%|█████     | 185/363 [02:17<03:23, 1.14s/it]
Loading 0:  51%|█████     | 185/363 [02:17<03:23, 1.14s/it]
Loading 0:  53%|█████▎    | 193/363 [02:18<01:20, 2.11it/s]
Loading 0:  53%|█████▎    | 193/363 [02:18<01:20, 2.11it/s]
Loading 0:  54%|█████▍    | 196/363 [02:20<01:30, 1.85it/s]
Loading 0:  54%|█████▍    | 196/363 [02:20<01:30, 1.85it/s]
Loading 0:  54%|█████▍    | 197/363 [02:22<01:55, 1.44it/s]
Loading 0:  54%|█████▍    | 197/363 [02:22<01:55, 1.44it/s]
Loading 0:  55%|█████▍    | 198/363 [02:24<02:24, 1.15it/s]
Loading 0:  55%|█████▍    | 198/363 [02:24<02:24, 1.15it/s]
Loading 0:  55%|█████▌    | 201/363 [02:26<02:07, 1.27it/s]
Loading 0:  55%|█████▌    | 201/363 [02:26<02:07, 1.27it/s]
Loading 0:  56%|█████▌    | 202/363 [02:28<02:33, 1.05it/s]
Loading 0:  56%|█████▌    | 202/363 [02:28<02:33, 1.05it/s]
Loading 0:  56%|█████▌    | 203/363 [02:30<03:02, 1.14s/it]
Loading 0:  56%|█████▌    | 203/363 [02:30<03:02, 1.14s/it]
Loading 0:  58%|█████▊    | 211/363 [02:31<01:12, 2.09it/s]
Loading 0:  58%|█████▊    | 211/363 [02:31<01:12, 2.09it/s]
Loading 0:  59%|█████▉    | 214/363 [02:33<01:21, 1.83it/s]
Loading 0:  59%|█████▉    | 214/363 [02:33<01:21, 1.83it/s]
Loading 0:  59%|█████▉    | 215/363 [02:35<01:43, 1.44it/s]
Loading 0:  59%|█████▉    | 215/363 [02:35<01:43, 1.44it/s]
Loading 0:  60%|█████▉    | 216/363 [02:37<02:08, 1.14it/s]
Loading 0:  60%|█████▉    | 216/363 [02:37<02:08, 1.14it/s]
Loading 0:  60%|██████    | 219/363 [02:39<01:53, 1.27it/s]
Loading 0:  60%|██████    | 219/363 [02:39<01:53, 1.27it/s]
Loading 0:  61%|██████    | 220/363 [02:41<02:16, 1.05it/s]
Loading 0:  61%|██████    | 220/363 [02:41<02:16, 1.05it/s]
Loading 0:  61%|██████    | 221/363 [02:43<02:41, 1.14s/it]
Loading 0:  61%|██████    | 221/363 [02:43<02:41, 1.14s/it]
Loading 0:  63%|██████▎   | 229/363 [02:44<01:03, 2.11it/s]
Loading 0:  63%|██████▎   | 229/363 [02:44<01:03, 2.11it/s]
Loading 0:  64%|██████▍   | 232/363 [02:46<01:10, 1.85it/s]
Loading 0:  64%|██████▍   | 232/363 [02:46<01:10, 1.85it/s]
Loading 0:  64%|██████▍   | 233/363 [02:48<01:29, 1.44it/s]
Loading 0:  64%|██████▍   | 233/363 [02:48<01:29, 1.44it/s]
Loading 0:  64%|██████▍   | 234/363 [02:50<01:52, 1.15it/s]
Loading 0:  64%|██████▍   | 234/363 [02:50<01:52, 1.15it/s]
Loading 0:  65%|██████▌   | 237/363 [02:52<01:38, 1.27it/s]
Loading 0:  65%|██████▌   | 237/363 [02:52<01:38, 1.27it/s]
Loading 0:  66%|██████▌   | 238/363 [02:54<01:58, 1.05it/s]
Loading 0:  66%|██████▌   | 238/363 [02:54<01:58, 1.05it/s]
Loading 0:  66%|██████▌   | 239/363 [02:56<02:20, 1.14s/it]
Loading 0:  66%|██████▌   | 239/363 [02:56<02:20, 1.14s/it]
Loading 0:  68%|██████▊   | 247/363 [02:57<00:55, 2.10it/s]
Loading 0:  68%|██████▊   | 247/363 [02:57<00:55, 2.10it/s]
Loading 0:  69%|██████▉   | 250/363 [02:59<01:01, 1.84it/s]
Loading 0:  69%|██████▉   | 250/363 [02:59<01:01, 1.84it/s]
Loading 0:  69%|██████▉   | 251/363 [03:01<01:17, 1.44it/s]
Loading 0:  69%|██████▉   | 251/363 [03:01<01:17, 1.44it/s]
Loading 0:  69%|██████▉   | 252/363 [03:03<01:38, 1.13it/s]
Loading 0:  69%|██████▉   | 252/363 [03:03<01:38, 1.13it/s]
Loading 0:  70%|███████   | 255/363 [03:05<01:25, 1.26it/s]
Loading 0:  70%|███████   | 255/363 [03:05<01:25, 1.26it/s]
Loading 0:  71%|███████   | 256/363 [03:07<01:42, 1.04it/s]
Loading 0:  71%|███████   | 256/363 [03:07<01:42, 1.04it/s]
Loading 0:  71%|███████   | 257/363 [03:09<02:01, 1.14s/it]
Loading 0:  71%|███████   | 257/363 [03:09<02:01, 1.14s/it]
Loading 0:  73%|███████▎  | 265/363 [03:10<00:46, 2.10it/s]
Loading 0:  73%|███████▎  | 265/363 [03:10<00:46, 2.10it/s]
Loading 0:  74%|███████▍  | 268/363 [03:13<00:51, 1.84it/s]
Loading 0:  74%|███████▍  | 268/363 [03:13<00:51, 1.84it/s]
Loading 0:  74%|███████▍  | 269/363 [03:14<01:05, 1.44it/s]
Loading 0:  74%|███████▍  | 269/363 [03:14<01:05, 1.44it/s]
Loading 0:  74%|███████▍  | 270/363 [03:17<01:21, 1.14it/s]
Loading 0:  74%|███████▍  | 270/363 [03:17<01:21, 1.14it/s]
Loading 0:  75%|███████▌  | 273/363 [03:31<03:34, 2.38s/it]
Loading 0:  75%|███████▌  | 273/363 [03:31<03:34, 2.38s/it]
Loading 0:  75%|███████▌  | 274/363 [03:33<03:25, 2.31s/it]
Loading 0:  75%|███████▌  | 274/363 [03:33<03:25, 2.31s/it]
Loading 0:  76%|███████▌  | 275/363 [03:35<03:19, 2.26s/it]
Loading 0:  76%|███████▌  | 275/363 [03:35<03:19, 2.26s/it]
Loading 0:  78%|███████▊  | 283/363 [03:36<01:07, 1.18it/s]
Loading 0:  78%|███████▊  | 283/363 [03:36<01:07, 1.18it/s]
Loading 0:  79%|███████▉  | 286/363 [03:39<01:03, 1.22it/s]
Loading 0:  79%|███████▉  | 286/363 [03:39<01:03, 1.22it/s]
Loading 0:  79%|███████▉  | 287/363 [03:41<01:11, 1.07it/s]
Loading 0:  79%|███████▉  | 287/363 [03:41<01:11, 1.07it/s]
Loading 0:  79%|███████▉  | 288/363 [03:43<01:21, 1.09s/it]
Loading 0:  79%|███████▉  | 288/363 [03:43<01:21, 1.09s/it]
Loading 0:  80%|████████  | 291/363 [03:44<01:06, 1.09it/s]
Loading 0:  80%|████████  | 291/363 [03:44<01:06, 1.09it/s]
Loading 0:  80%|████████  | 292/363 [03:46<01:15, 1.06s/it]
Loading 0:  80%|████████  | 292/363 [03:46<01:15, 1.06s/it]
Loading 0:  81%|████████  | 293/363 [03:48<01:26, 1.23s/it]
Loading 0:  81%|████████  | 293/363 [03:48<01:26, 1.23s/it]
Loading 0:  83%|████████▎ | 301/363 [03:50<00:31, 1.99it/s]
Loading 0:  83%|████████▎ | 301/363 [03:50<00:31, 1.99it/s]
Loading 0:  84%|████████▎ | 304/363 [03:52<00:33, 1.78it/s]
Loading 0:  84%|████████▎ | 304/363 [03:52<00:33, 1.78it/s]
Loading 0:  84%|████████▍ | 305/363 [03:54<00:41, 1.41it/s]
Loading 0:  84%|████████▍ | 305/363 [03:54<00:41, 1.41it/s]
Loading 0:  84%|████████▍ | 306/363 [03:56<00:50, 1.13it/s]
Loading 0:  84%|████████▍ | 306/363 [03:56<00:50, 1.13it/s]
Loading 0:  85%|████████▌ | 309/363 [03:57<00:42, 1.26it/s]
Loading 0:  85%|████████▌ | 309/363 [03:57<00:42, 1.26it/s]
Loading 0:  85%|████████▌ | 310/363 [03:59<00:50, 1.04it/s]
Loading 0:  85%|████████▌ | 310/363 [03:59<00:50, 1.04it/s]
Loading 0:  86%|████████▌ | 311/363 [04:01<00:59, 1.15s/it]
Loading 0:  86%|████████▌ | 311/363 [04:01<00:59, 1.15s/it]
Loading 0:  88%|████████▊ | 319/363 [04:03<00:20, 2.11it/s]
Loading 0:  88%|████████▊ | 319/363 [04:03<00:20, 2.11it/s]
Loading 0:  89%|████████▊ | 322/363 [04:05<00:22, 1.85it/s]
Loading 0:  89%|████████▊ | 322/363 [04:05<00:22, 1.85it/s]
Loading 0:  89%|████████▉ | 323/363 [04:07<00:27, 1.44it/s]
Loading 0:  89%|████████▉ | 323/363 [04:07<00:27, 1.44it/s]
Loading 0:  89%|████████▉ | 324/363 [04:09<00:34, 1.15it/s]
Loading 0:  89%|████████▉ | 324/363 [04:09<00:34, 1.15it/s]
Loading 0:  90%|█████████ | 327/363 [04:11<00:28, 1.27it/s]
Loading 0:  90%|█████████ | 327/363 [04:11<00:28, 1.27it/s]
Loading 0:  90%|█████████ | 328/363 [04:12<00:33, 1.05it/s]
Loading 0:  90%|█████████ | 328/363 [04:12<00:33, 1.05it/s]
Loading 0:  91%|█████████ | 329/363 [04:14<00:38, 1.14s/it]
Loading 0:  91%|█████████ | 329/363 [04:14<00:38, 1.14s/it]
Loading 0:  93%|█████████▎| 337/363 [04:16<00:12, 2.12it/s]
Loading 0:  93%|█████████▎| 337/363 [04:16<00:12, 2.12it/s]
Loading 0:  94%|█████████▎| 340/363 [04:18<00:12, 1.85it/s]
Loading 0:  94%|█████████▎| 340/363 [04:18<00:12, 1.85it/s]
Loading 0:  94%|█████████▍| 341/363 [04:20<00:15, 1.45it/s]
Loading 0:  94%|█████████▍| 341/363 [04:20<00:15, 1.45it/s]
Loading 0:  94%|█████████▍| 342/363 [04:22<00:18, 1.15it/s]
Loading 0:  94%|█████████▍| 342/363 [04:22<00:18, 1.15it/s]
Loading 0:  95%|█████████▌| 345/363 [04:24<00:14, 1.27it/s]
Loading 0:  95%|█████████▌| 345/363 [04:24<00:14, 1.27it/s]
Loading 0:  95%|█████████▌| 346/363 [04:25<00:16, 1.05it/s]
Loading 0:  95%|█████████▌| 346/363 [04:25<00:16, 1.05it/s]
Loading 0:  96%|█████████▌| 347/363 [04:27<00:18, 1.14s/it]
Loading 0:  96%|█████████▌| 347/363 [04:27<00:18, 1.14s/it]
Loading 0:  98%|█████████▊| 355/363 [04:29<00:03, 2.11it/s]
Loading 0:  98%|█████████▊| 355/363 [04:29<00:03, 2.11it/s]
Loading 0:  99%|█████████▉| 359/363 [04:31<00:02, 1.90it/s]
Loading 0:  99%|█████████▉| 359/363 [04:31<00:02, 1.90it/s]
Loading 0:  99%|█████████▉| 360/363 [04:33<00:02, 1.50it/s]
Loading 0:  99%|█████████▉| 360/363 [04:33<00:02, 1.50it/s]
Loading 0:  99%|█████████▉| 361/363 [04:35<00:01, 1.19it/s]
Loading 0:  99%|█████████▉| 361/363 [04:35<00:01, 1.19it/s]
Loading 0: 100%|██████████| 363/363 [04:35<00:00, 1.19it/s]
                                                           

Loading 0: 100%|██████████| 363/363 [04:35<00:00, 1.32it/s]
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: The tokenizer you are loading from '/tmp/tmpt5n5d1yt' 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-80p-20ff-chaiml-20653-v2-mkmlizer: quantized model in 282.076s
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: Processed model ChaiML/80p_20ff_chaiml_mistral_24b_2048_77769_v1_cp624_merged in 379.671s
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-20653-v2/nvidia
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-20653-v2/nvidia/config.json
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-20653-v2/nvidia/special_tokens_map.json
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-20653-v2/nvidia/tokenizer_config.json
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-20653-v2/nvidia/tokenizer.json
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-20653-v2/nvidia/flywheel_model.1.safetensors
Falling back to EndpointApi.from_submission implementation
chaiml-80p-20ff-chaiml-20653-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-80p-20ff-chaiml-20653-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-80p-20ff-chaiml-20653-v2-mkmlizer completed after 503.17s with status: succeeded
Stopping job with name chaiml-80p-20ff-chaiml-20653-v2-mkmlizer
Pipeline stage MKMLizer completed in 503.99s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.21s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-80p-20ff-chaiml-20653-v2
Waiting for inference service chaiml-80p-20ff-chaiml-20653-v2 to be ready
Inference service chaiml-80p-20ff-chaiml-20653-v2 ready after 161.17557048797607s
Pipeline stage MKMLDeployer completed in 162.39s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9465720653533936s
Received healthy response to inference request in 2.8239500522613525s
Received healthy response to inference request in 2.6391732692718506s
Received healthy response to inference request in 2.9337241649627686s
Received healthy response to inference request in 2.855006456375122s
5 requests
0 failed requests
5th percentile: 2.676128625869751
10th percentile: 2.7130839824676514
20th percentile: 2.786994695663452
30th percentile: 2.8301613330841064
40th percentile: 2.8425838947296143
50th percentile: 2.855006456375122
60th percentile: 2.8864935398101808
70th percentile: 2.9179806232452394
80th percentile: 2.9362937450408935
90th percentile: 2.9414329051971437
95th percentile: 2.9440024852752686
99th percentile: 2.9460581493377687
mean time: 2.8396852016448975
Pipeline stage StressChecker completed in 15.78s
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 0.69s
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 0.69s
Shutdown handler de-registered
chaiml-80p-20ff-chaiml-_20653_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
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 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-80p-20ff-chaiml-20653-v2-profiler
Waiting for inference service chaiml-80p-20ff-chaiml-20653-v2-profiler to be ready
Inference service chaiml-80p-20ff-chaiml-20653-v2-profiler ready after 141.30750584602356s
Pipeline stage MKMLProfilerDeployer completed in 141.98s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-80p-20ff-chai5e8e797c02f460942e428825ab47edd8-deplocqvr9:/code/chaiverse_profiler_1768441595 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-80p-20ff-chai5e8e797c02f460942e428825ab47edd8-deplocqvr9 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1768441595 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 2048 --output_tokens 96 --summary /code/chaiverse_profiler_1768441595/summary.json'
%s, retrying in %s seconds...
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-80p-20ff-chai5e8e797c02f460942e428825ab47edd8-deplocqvr9:/code/chaiverse_profiler_1768443313 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-80p-20ff-chai5e8e797c02f460942e428825ab47edd8-deplocqvr9 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1768443313 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 2048 --output_tokens 96 --summary /code/chaiverse_profiler_1768443313/summary.json'
Received signal 15, running shutdown handler
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-80p-20ff-chaiml-20653-v2-profiler is running
Tearing down inference service chaiml-80p-20ff-chaiml-20653-v2-profiler
Service chaiml-80p-20ff-chaiml-20653-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 0.68s
Shutdown handler de-registered
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-80p-20ff-chaiml-20653-v2-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 0.72s
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-80p-20ff-chaiml-20653-v2-profiler
Waiting for inference service chaiml-80p-20ff-chaiml-20653-v2-profiler to be ready
Inference service chaiml-80p-20ff-chaiml-20653-v2-profiler ready after 151.60410332679749s
Pipeline stage MKMLProfilerDeployer completed in 151.99s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-80p-20ff-chai5e8e797c02f460942e428825ab47edd8-deplofhnkg:/code/chaiverse_profiler_1768445300 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-80p-20ff-chai5e8e797c02f460942e428825ab47edd8-deplofhnkg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1768445300 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 2048 --output_tokens 96 --summary /code/chaiverse_profiler_1768445300/summary.json'
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-80p-20ff-chai5e8e797c02f460942e428825ab47edd8-deplofhnkg --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1768445300/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1700.69s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-80p-20ff-chaiml-20653-v2-profiler is running
Tearing down inference service chaiml-80p-20ff-chaiml-20653-v2-profiler
Service chaiml-80p-20ff-chaiml-20653-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 0.69s
Shutdown handler de-registered
chaiml-80p-20ff-chaiml-_20653_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of chaiml-80p-20ff-chaiml-_20653_v2
Falling back to EndpointApi.from_submission implementation
Shutdown handler not registered because Python interpreter is not running in the main thread
Falling back to EndpointApi.from_submission implementation
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Checking if service chaiml-80p-20ff-chaiml-20653-v2 is running
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Tearing down inference service chaiml-80p-20ff-chaiml-20653-v2
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Service chaiml-80p-20ff-chaiml-20653-v2 has been torndown
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Pipeline stage MKMLDeleter completed in 2.02s
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
run pipeline stage %s
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Running pipeline stage MKMLModelDeleter
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Cleaning model data from S3
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Cleaning model data from model cache
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Deleting key chaiml-80p-20ff-chaiml-20653-v2/nvidia/config.json from bucket guanaco-mkml-models
Deleting key chaiml-80p-20ff-chaiml-20653-v2/nvidia/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Deleting key chaiml-80p-20ff-chaiml-20653-v2/nvidia/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Deleting key chaiml-80p-20ff-chaiml-20653-v2/nvidia/special_tokens_map.json from bucket guanaco-mkml-models
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Deleting key chaiml-80p-20ff-chaiml-20653-v2/nvidia/tokenizer.json from bucket guanaco-mkml-models
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Deleting key chaiml-80p-20ff-chaiml-20653-v2/nvidia/tokenizer_config.json from bucket guanaco-mkml-models
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Pipeline stage MKMLModelDeleter completed in 4.76s
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Shutdown handler de-registered
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation
Falling back to EndpointApi.from_submission implementation