chaiml-1106-quang-ir-mi_66845

developer_uid: chai_backend_admin

submission_id: chaiml-1106-quang-ir-mi_66845_v1

model_name: training123

model_group: ChaiML/1106-quang-ir-mix

status: torndown

timestamp: 2025-11-10T04:21:19+00:00

num_battles: 6601

num_wins: 3388

celo_rating: 1300.27

family_friendly_score: 0.5186

family_friendly_standard_error: 0.007066173504804421

submission_type: basic

model_repo: ChaiML/1106-quang-ir-mixallr-cld-i8a8-hl-f150003

model_architecture: MistralForCausalLM

model_num_parameters: 24096691200.0

best_of: 8

max_input_tokens: 2048

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.38223339378691545, 'latency_mean': 2.61610435962677, 'latency_p50': 2.589267611503601, 'latency_p90': 2.8879686117172243}, {'batch_size': 2, 'throughput': 0.5744773371498709, 'latency_mean': 3.4807109463214876, 'latency_p50': 3.478610634803772, 'latency_p90': 3.763690710067749}, {'batch_size': 3, 'throughput': 0.7079808659166743, 'latency_mean': 4.225847464799881, 'latency_p50': 4.223536372184753, 'latency_p90': 4.634008312225342}, {'batch_size': 4, 'throughput': 0.7921884098486889, 'latency_mean': 5.024284855127335, 'latency_p50': 5.042207717895508, 'latency_p90': 5.5712847232818605}, {'batch_size': 5, 'throughput': 0.8605674478019114, 'latency_mean': 5.796605093479156, 'latency_p50': 5.771748781204224, 'latency_p90': 6.555474519729614}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/1106-quang-ir-mixallr-cld-i8a8-hl-f150003

model_size: 24B

ranking_group: single

throughput_3p7s: 0.62

us_pacific_date: 2025-11-06

win_ratio: 0.513255567338282

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': ['You:', '</s>', '\n', '####', '####\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s persona: {memory}", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'You: {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-1106-quang-ir-mi-66845-v1-mkmlizer
Waiting for job on chaiml-1106-quang-ir-mi-66845-v1-mkmlizer to finish
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║                                                                     ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║                                                                     ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║                                                                     ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║                                                                     ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ║                                                                     ║
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: Downloaded to shared memory in 77.533s
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: Checking if ChaiML/1106-quang-ir-mixallr-cld-i8a8-hl-f150003 already exists in ChaiML
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpg810hulu, device:0
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: quantized model in 41.730s
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: Processed model ChaiML/1106-quang-ir-mixallr-cld-i8a8-hl-f150003 in 119.264s
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-66845-v1/nvidia
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-66845-v1/nvidia/tokenizer.json
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-66845-v1/nvidia/flywheel_model.1.safetensors
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-66845-v1/nvidia/flywheel_model.0.safetensors
chaiml-1106-quang-ir-mi-66845-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|          | 4/363 [00:00<00:10, 33.25it/s]
Loading 0:   2%|▏         | 8/363 [00:00<00:11, 29.79it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:10, 32.57it/s]
Loading 0:   5%|▍         | 17/363 [00:00<00:10, 34.39it/s]
Loading 0:   6%|▌         | 22/363 [00:00<00:09, 34.97it/s]
Loading 0:   7%|▋         | 27/363 [00:00<00:08, 38.76it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:07, 41.68it/s]
Loading 0:  10%|█         | 37/363 [00:01<00:12, 25.70it/s]
Loading 0:  11%|█▏        | 41/363 [00:01<00:13, 24.27it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:09, 32.32it/s]
Loading 0:  14%|█▍        | 52/363 [00:01<00:09, 31.50it/s]
Loading 0:  16%|█▌        | 57/363 [00:01<00:08, 34.92it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:09, 32.45it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:08, 33.70it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:09, 29.44it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:10, 26.54it/s]
Loading 0:  22%|██▏       | 79/363 [00:02<00:09, 30.77it/s]
Loading 0:  23%|██▎       | 83/363 [00:02<00:08, 32.23it/s]
Loading 0:  24%|██▍       | 87/363 [00:02<00:09, 28.68it/s]
Loading 0:  25%|██▌       | 92/363 [00:02<00:09, 27.97it/s]
Loading 0:  27%|██▋       | 99/363 [00:03<00:07, 35.43it/s]
Loading 0:  28%|██▊       | 103/363 [00:03<00:07, 33.38it/s]
Loading 0:  29%|██▉       | 107/363 [00:03<00:09, 28.21it/s]
Loading 0:  31%|███       | 112/363 [00:03<00:08, 30.64it/s]
Loading 0:  32%|███▏      | 116/363 [00:03<00:07, 31.43it/s]
Loading 0:  33%|███▎      | 120/363 [00:03<00:07, 33.18it/s]
Loading 0:  34%|███▍      | 124/363 [00:03<00:07, 31.30it/s]
Loading 0:  36%|███▌      | 129/363 [00:04<00:06, 34.84it/s]
Loading 0:  37%|███▋      | 133/363 [00:04<00:07, 31.61it/s]
Loading 0:  38%|███▊      | 138/363 [00:04<00:06, 34.92it/s]
Loading 0:  39%|███▉      | 142/363 [00:04<00:06, 32.72it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:05, 39.45it/s]
Loading 0:  42%|████▏     | 154/363 [00:04<00:07, 26.61it/s]
Loading 0:  44%|████▎     | 158/363 [00:05<00:08, 24.91it/s]
Loading 0:  45%|████▌     | 165/363 [00:05<00:06, 31.96it/s]
Loading 0:  47%|████▋     | 169/363 [00:05<00:06, 31.18it/s]
Loading 0:  48%|████▊     | 174/363 [00:05<00:05, 34.37it/s]
Loading 0:  49%|████▉     | 178/363 [00:05<00:05, 32.79it/s]
Loading 0:  50%|█████     | 182/363 [00:05<00:05, 33.64it/s]
Loading 0:  52%|█████▏    | 187/363 [00:05<00:05, 30.00it/s]
Loading 0:  53%|█████▎    | 191/363 [00:06<00:05, 29.36it/s]
Loading 0:  54%|█████▎    | 195/363 [00:06<00:06, 26.67it/s]
Loading 0:  55%|█████▌    | 201/363 [00:19<02:13,  1.22it/s]
Loading 0:  56%|█████▌    | 203/363 [00:19<01:54,  1.40it/s]
Loading 0:  57%|█████▋    | 208/363 [00:19<01:13,  2.12it/s]
Loading 0:  58%|█████▊    | 211/363 [00:19<00:56,  2.68it/s]
Loading 0:  59%|█████▉    | 215/363 [00:19<00:39,  3.74it/s]
Loading 0:  60%|██████    | 219/363 [00:19<00:28,  4.98it/s]
Loading 0:  62%|██████▏   | 224/363 [00:20<00:20,  6.91it/s]
Loading 0:  63%|██████▎   | 229/363 [00:20<00:14,  9.52it/s]
Loading 0:  64%|██████▍   | 232/363 [00:20<00:11, 11.16it/s]
Loading 0:  65%|██████▌   | 237/363 [00:20<00:08, 15.14it/s]
Loading 0:  66%|██████▋   | 241/363 [00:20<00:07, 17.38it/s]
Loading 0:  68%|██████▊   | 246/363 [00:20<00:05, 21.92it/s]
Loading 0:  69%|██████▉   | 250/363 [00:20<00:04, 23.48it/s]
Loading 0:  70%|███████   | 255/363 [00:20<00:03, 27.89it/s]
Loading 0:  71%|███████▏  | 259/363 [00:21<00:03, 28.09it/s]
Loading 0:  73%|███████▎  | 266/363 [00:21<00:02, 35.33it/s]
Loading 0:  75%|███████▍  | 271/363 [00:21<00:03, 25.65it/s]
Loading 0:  76%|███████▌  | 275/363 [00:21<00:03, 23.88it/s]
Loading 0:  78%|███████▊  | 282/363 [00:21<00:02, 31.19it/s]
Loading 0:  79%|███████▉  | 286/363 [00:21<00:02, 30.52it/s]
Loading 0:  80%|████████  | 291/363 [00:22<00:02, 33.75it/s]
Loading 0:  81%|████████▏ | 295/363 [00:22<00:02, 31.95it/s]
Loading 0:  82%|████████▏ | 299/363 [00:22<00:01, 32.94it/s]
Loading 0:  84%|████████▎ | 304/363 [00:22<00:01, 30.27it/s]
Loading 0:  85%|████████▍ | 308/363 [00:22<00:01, 29.58it/s]
Loading 0:  86%|████████▌ | 312/363 [00:22<00:01, 26.49it/s]
Loading 0:  88%|████████▊ | 318/363 [00:22<00:01, 32.22it/s]
Loading 0:  89%|████████▊ | 322/363 [00:23<00:01, 31.14it/s]
Loading 0:  90%|█████████ | 327/363 [00:23<00:01, 34.73it/s]
Loading 0:  91%|█████████ | 331/363 [00:23<00:00, 33.07it/s]
Loading 0:  92%|█████████▏| 335/363 [00:23<00:00, 33.95it/s]
Loading 0:  93%|█████████▎| 339/363 [00:23<00:00, 34.11it/s]
Loading 0:  94%|█████████▍| 343/363 [00:23<00:00, 20.15it/s]
Loading 0:  96%|█████████▌| 348/363 [00:24<00:00, 21.85it/s]
Loading 0:  98%|█████████▊| 355/363 [00:24<00:00, 29.41it/s]
Loading 0:  99%|█████████▉| 359/363 [00:24<00:00, 28.51it/s]
                                                            
Job chaiml-1106-quang-ir-mi-66845-v1-mkmlizer completed after 194.95s with status: succeeded
Stopping job with name chaiml-1106-quang-ir-mi-66845-v1-mkmlizer
Pipeline stage MKMLizer completed in 195.47s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-1106-quang-ir-mi-66845-v1
Waiting for inference service chaiml-1106-quang-ir-mi-66845-v1 to be ready
Inference service chaiml-1106-quang-ir-mi-66845-v1 ready after 171.17065262794495s
Pipeline stage MKMLDeployer completed in 171.73s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5393362045288086s
Received healthy response to inference request in 2.113921642303467s
Received healthy response to inference request in 2.287083625793457s
Received healthy response to inference request in 2.153174638748169s
Received healthy response to inference request in 2.0959653854370117s
5 requests
0 failed requests
5th percentile: 2.099556636810303
10th percentile: 2.1031478881835937
20th percentile: 2.1103303909301756
30th percentile: 2.1217722415924074
40th percentile: 2.137473440170288
50th percentile: 2.153174638748169
60th percentile: 2.206738233566284
70th percentile: 2.2603018283843994
80th percentile: 2.3375341415405275
90th percentile: 2.438435173034668
95th percentile: 2.488885688781738
99th percentile: 2.5292461013793943
mean time: 2.2378962993621827
Pipeline stage StressChecker completed in 12.43s
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 0.67s
Shutdown handler de-registered
chaiml-1106-quang-ir-mi_66845_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3071.82s
Shutdown handler de-registered
chaiml-1106-quang-ir-mi_66845_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-1106-quang-ir-mi_66845_v1 status is now torndown due to DeploymentManager action