developer_uid: chai_backend_admin
submission_id: chaiml-1030-quang-ir-lt_23937_v1
model_name: training123
model_group: ChaiML/1030-quang-ir-ltr
status: inactive
timestamp: 2025-10-30T20:36:50+00:00
num_battles: 7079
num_wins: 3553
celo_rating: 1289.26
family_friendly_score: 0.4648
family_friendly_standard_error: 0.007053523374881521
submission_type: basic
model_repo: ChaiML/1030-quang-ir-ltry-mix3-maxb3-10k-dpo_1e5b03
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': 0.382097967960752, 'latency_mean': 2.6170100355148316, 'latency_p50': 2.6016229391098022, 'latency_p90': 2.8897713661193847}, {'batch_size': 2, 'throughput': 0.5676295639600331, 'latency_mean': 3.518987582921982, 'latency_p50': 3.5345672369003296, 'latency_p90': 3.826261019706726}, {'batch_size': 3, 'throughput': 0.7010697475395806, 'latency_mean': 4.273455040454865, 'latency_p50': 4.266744136810303, 'latency_p90': 4.640559887886047}, {'batch_size': 4, 'throughput': 0.7902918920431781, 'latency_mean': 5.045510454177856, 'latency_p50': 5.030481457710266, 'latency_p90': 5.7629362583160395}, {'batch_size': 5, 'throughput': 0.8534349999583996, 'latency_mean': 5.832909141778946, 'latency_p50': 5.828581690788269, 'latency_p90': 6.7486285924911495}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1030-quang-ir-ltry-mix3-maxb3-10k-dpo_1e5b03
model_size: 24B
ranking_group: single
throughput_3p7s: 0.61
us_pacific_date: 2025-10-30
win_ratio: 0.5019070490182229
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:', '\n', '</s>'], '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-1030-quang-ir-lt-23937-v1-mkmlizer
Waiting for job on chaiml-1030-quang-ir-lt-23937-v1-mkmlizer to finish
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║                                                                     ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║                                                                     ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║                                                                     ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║                                                                     ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ║                                                                     ║
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: Downloaded to shared memory in 59.058s
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: Checking if ChaiML/1030-quang-ir-ltry-mix3-maxb3-10k-dpo_1e5b03 already exists in ChaiML
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfn7kh83g, device:0
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: quantized model in 42.562s
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: Processed model ChaiML/1030-quang-ir-ltry-mix3-maxb3-10k-dpo_1e5b03 in 101.620s
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-23937-v1/nvidia
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-23937-v1/nvidia/config.json
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-23937-v1/nvidia/special_tokens_map.json
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-23937-v1/nvidia/tokenizer_config.json
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-23937-v1/nvidia/tokenizer.json
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-23937-v1/nvidia/flywheel_model.0.safetensors
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-23937-v1/nvidia/flywheel_model.1.safetensors
chaiml-1030-quang-ir-lt-23937-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:15, 22.57it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:09, 38.70it/s]
Loading 0:   5%|▍         | 18/363 [00:00<00:08, 41.35it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:10, 31.84it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:07, 44.14it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:10, 30.42it/s]
Loading 0:  12%|█▏        | 42/363 [00:01<00:11, 27.42it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:09, 32.58it/s]
Loading 0:  14%|█▍        | 52/363 [00:01<00:09, 31.27it/s]
Loading 0:  16%|█▌        | 57/363 [00:01<00:08, 34.73it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:09, 32.85it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:08, 33.58it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:09, 29.85it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:10, 26.63it/s]
Loading 0:  22%|██▏       | 79/363 [00:02<00:09, 30.50it/s]
Loading 0:  23%|██▎       | 83/363 [00:02<00:08, 31.14it/s]
Loading 0:  24%|██▍       | 87/363 [00:02<00:10, 27.58it/s]
Loading 0:  25%|██▌       | 92/363 [00:02<00:10, 26.53it/s]
Loading 0:  27%|██▋       | 99/363 [00:03<00:07, 33.83it/s]
Loading 0:  28%|██▊       | 103/363 [00:03<00:08, 32.32it/s]
Loading 0:  29%|██▉       | 107/363 [00:03<00:09, 27.77it/s]
Loading 0:  31%|███       | 112/363 [00:03<00:08, 30.21it/s]
Loading 0:  32%|███▏      | 116/363 [00:03<00:08, 30.55it/s]
Loading 0:  33%|███▎      | 120/363 [00:03<00:07, 32.52it/s]
Loading 0:  34%|███▍      | 124/363 [00:03<00:07, 30.28it/s]
Loading 0:  36%|███▌      | 129/363 [00:04<00:06, 33.77it/s]
Loading 0:  37%|███▋      | 133/363 [00:04<00:07, 31.80it/s]
Loading 0:  38%|███▊      | 138/363 [00:04<00:06, 35.11it/s]
Loading 0:  39%|███▉      | 142/363 [00:04<00:06, 33.02it/s]
Loading 0:  41%|████      | 149/363 [00:04<00:05, 38.83it/s]
Loading 0:  42%|████▏     | 153/363 [00:04<00:08, 25.12it/s]
Loading 0:  44%|████▎     | 158/363 [00:05<00:08, 25.13it/s]
Loading 0:  45%|████▌     | 165/363 [00:05<00:06, 32.11it/s]
Loading 0:  47%|████▋     | 169/363 [00:05<00:06, 30.51it/s]
Loading 0:  48%|████▊     | 174/363 [00:05<00:05, 33.54it/s]
Loading 0:  49%|████▉     | 178/363 [00:05<00:05, 31.31it/s]
Loading 0:  50%|█████     | 182/363 [00:05<00:05, 32.19it/s]
Loading 0:  52%|█████▏    | 187/363 [00:05<00:05, 29.52it/s]
Loading 0:  53%|█████▎    | 191/363 [00:06<00:06, 28.53it/s]
Loading 0:  53%|█████▎    | 194/363 [00:06<00:07, 23.95it/s]
Loading 0:  55%|█████▌    | 201/363 [00:19<02:12,  1.22it/s]
Loading 0:  56%|█████▌    | 203/363 [00:19<01:54,  1.40it/s]
Loading 0:  57%|█████▋    | 208/363 [00:19<01:13,  2.11it/s]
Loading 0:  58%|█████▊    | 211/363 [00:19<00:57,  2.66it/s]
Loading 0:  59%|█████▉    | 214/363 [00:19<00:43,  3.42it/s]
Loading 0:  60%|██████    | 218/363 [00:20<00:30,  4.81it/s]
Loading 0:  61%|██████    | 221/363 [00:20<00:23,  6.09it/s]
Loading 0:  62%|██████▏   | 224/363 [00:20<00:19,  7.30it/s]
Loading 0:  63%|██████▎   | 229/363 [00:20<00:12, 10.63it/s]
Loading 0:  64%|██████▍   | 232/363 [00:20<00:10, 12.52it/s]
Loading 0:  65%|██████▌   | 237/363 [00:20<00:07, 17.10it/s]
Loading 0:  66%|██████▋   | 241/363 [00:20<00:06, 19.22it/s]
Loading 0:  68%|██████▊   | 246/363 [00:20<00:04, 23.91it/s]
Loading 0:  69%|██████▉   | 250/363 [00:21<00:04, 23.19it/s]
Loading 0:  70%|██████▉   | 254/363 [00:21<00:04, 26.23it/s]
Loading 0:  71%|███████   | 258/363 [00:21<00:04, 22.28it/s]
Loading 0:  72%|███████▏  | 262/363 [00:21<00:04, 25.13it/s]
Loading 0:  73%|███████▎  | 266/363 [00:21<00:03, 27.88it/s]
Loading 0:  74%|███████▍  | 270/363 [00:22<00:05, 17.56it/s]
Loading 0:  76%|███████▌  | 275/363 [00:22<00:04, 19.66it/s]
Loading 0:  78%|███████▊  | 282/363 [00:22<00:03, 26.95it/s]
Loading 0:  79%|███████▉  | 286/363 [00:22<00:02, 27.31it/s]
Loading 0:  80%|████████  | 291/363 [00:22<00:02, 31.04it/s]
Loading 0:  81%|████████▏ | 295/363 [00:22<00:02, 30.01it/s]
Loading 0:  82%|████████▏ | 299/363 [00:22<00:02, 30.91it/s]
Loading 0:  84%|████████▎ | 304/363 [00:23<00:02, 28.63it/s]
Loading 0:  85%|████████▍ | 308/363 [00:23<00:01, 27.63it/s]
Loading 0:  86%|████████▌ | 311/363 [00:23<00:02, 22.93it/s]
Loading 0:  88%|████████▊ | 318/363 [00:23<00:01, 31.05it/s]
Loading 0:  89%|████████▊ | 322/363 [00:23<00:01, 29.91it/s]
Loading 0:  90%|█████████ | 327/363 [00:23<00:01, 33.39it/s]
Loading 0:  91%|█████████ | 331/363 [00:24<00:01, 31.56it/s]
Loading 0:  92%|█████████▏| 335/363 [00:24<00:00, 32.45it/s]
Loading 0:  93%|█████████▎| 339/363 [00:24<00:00, 33.19it/s]
Loading 0:  94%|█████████▍| 343/363 [00:24<00:00, 20.09it/s]
Loading 0:  96%|█████████▌| 348/363 [00:24<00:00, 21.33it/s]
Loading 0:  98%|█████████▊| 355/363 [00:25<00:00, 28.69it/s]
Loading 0:  99%|█████████▉| 359/363 [00:25<00:00, 28.45it/s]
                                                            

Job chaiml-1030-quang-ir-lt-23937-v1-mkmlizer completed after 146.51s with status: succeeded
Stopping job with name chaiml-1030-quang-ir-lt-23937-v1-mkmlizer
Pipeline stage MKMLizer completed in 147.40s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-1030-quang-ir-lt-23937-v1
Waiting for inference service chaiml-1030-quang-ir-lt-23937-v1 to be ready
Inference service chaiml-1030-quang-ir-lt-23937-v1 ready after 120.70658874511719s
Pipeline stage MKMLDeployer completed in 121.40s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4609055519104004s
Received healthy response to inference request in 2.293518543243408s
Received healthy response to inference request in 2.210143804550171s
Received healthy response to inference request in 2.2465176582336426s
Received healthy response to inference request in 2.2786717414855957s
5 requests
0 failed requests
5th percentile: 2.217418575286865
10th percentile: 2.2246933460235594
20th percentile: 2.2392428874969483
30th percentile: 2.2529484748840334
40th percentile: 2.2658101081848145
50th percentile: 2.2786717414855957
60th percentile: 2.284610462188721
70th percentile: 2.2905491828918456
80th percentile: 2.3269959449768067
90th percentile: 2.3939507484436033
95th percentile: 2.427428150177002
99th percentile: 2.4542100715637205
mean time: 2.2979514598846436
Pipeline stage StressChecker completed in 13.73s
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 0.62s
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-1030-quang-ir-lt_23937_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 3245.22s
Shutdown handler de-registered
chaiml-1030-quang-ir-lt_23937_v1 status is now inactive due to auto deactivation removed underperforming models