chaiml-1110-quang-ir-mi_93966

developer_uid: chai_backend_admin

submission_id: chaiml-1110-quang-ir-mi_93966_v1

model_name: training123

model_group: ChaiML/1110-quang-ir-mix

status: torndown

timestamp: 2025-11-13T12:41:34+00:00

num_battles: 6187

num_wins: 3162

celo_rating: 1299.08

family_friendly_score: 0.0

family_friendly_standard_error: 0.0

submission_type: basic

model_repo: ChaiML/1110-quang-ir-mixall-cld-i0a0-freev2-f5000-dpohrd_freev2_0164641ep_2e6ct

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': 0.38156165237310663, 'latency_mean': 2.62070769071579, 'latency_p50': 2.6290470361709595, 'latency_p90': 2.892212224006653}, {'batch_size': 2, 'throughput': 0.5640163500496183, 'latency_mean': 3.537611882686615, 'latency_p50': 3.5673753023147583, 'latency_p90': 3.8390227556228638}, {'batch_size': 3, 'throughput': 0.702226189086623, 'latency_mean': 4.256124742031098, 'latency_p50': 4.278494715690613, 'latency_p90': 4.676932072639465}, {'batch_size': 4, 'throughput': 0.7961592704481216, 'latency_mean': 5.006061135530472, 'latency_p50': 5.010011792182922, 'latency_p90': 5.687446665763855}, {'batch_size': 5, 'throughput': 0.8601573180563622, 'latency_mean': 5.796112673282623, 'latency_p50': 5.768640518188477, 'latency_p90': 6.605359053611755}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/1110-quang-ir-mixall-cld-i0a0-freev2-f5000-dpohrd_freev2_0164641ep_2e6ct

model_size: 24B

ranking_group: single

throughput_3p7s: 0.6

us_pacific_date: 2025-11-10

win_ratio: 0.5110716017455956

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'], '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-1110-quang-ir-mi-93966-v1-mkmlizer
Waiting for job on chaiml-1110-quang-ir-mi-93966-v1-mkmlizer to finish
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║                                                                     ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║                                                                     ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║                                                                     ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║                                                                     ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ║                                                                     ║
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: Downloaded to shared memory in 61.371s
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: Checking if ChaiML/1110-quang-ir-mixall-cld-i0a0-freev2-f5000-dpohrd_freev2_0164641ep_2e6ct already exists in ChaiML
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdt03k71a, device:0
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: quantized model in 43.097s
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: Processed model ChaiML/1110-quang-ir-mixall-cld-i0a0-freev2-f5000-dpohrd_freev2_0164641ep_2e6ct in 104.468s
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1110-quang-ir-mi-93966-v1/nvidia
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1110-quang-ir-mi-93966-v1/nvidia/config.json
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1110-quang-ir-mi-93966-v1/nvidia/special_tokens_map.json
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1110-quang-ir-mi-93966-v1/nvidia/tokenizer_config.json
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1110-quang-ir-mi-93966-v1/nvidia/tokenizer.json
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1110-quang-ir-mi-93966-v1/nvidia/flywheel_model.0.safetensors
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1110-quang-ir-mi-93966-v1/nvidia/flywheel_model.1.safetensors
chaiml-1110-quang-ir-mi-93966-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:15, 22.68it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:09, 38.65it/s]
Loading 0:   5%|▍         | 18/363 [00:00<00:08, 42.18it/s]
Loading 0:   6%|▋         | 23/363 [00:00<00:10, 32.49it/s]
Loading 0:   9%|▉         | 32/363 [00:00<00:07, 44.90it/s]
Loading 0:  10%|█         | 38/363 [00:01<00:10, 30.59it/s]
Loading 0:  12%|█▏        | 42/363 [00:01<00:12, 25.70it/s]
Loading 0:  13%|█▎        | 48/363 [00:01<00:10, 30.31it/s]
Loading 0:  14%|█▍        | 52/363 [00:01<00:10, 29.42it/s]
Loading 0:  16%|█▌        | 57/363 [00:01<00:09, 32.86it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:09, 30.57it/s]
Loading 0:  18%|█▊        | 65/363 [00:02<00:09, 32.01it/s]
Loading 0:  19%|█▉        | 70/363 [00:02<00:10, 29.15it/s]
Loading 0:  20%|██        | 74/363 [00:02<00:10, 26.36it/s]
Loading 0:  22%|██▏       | 79/363 [00:02<00:09, 30.43it/s]
Loading 0:  23%|██▎       | 83/363 [00:02<00:09, 30.98it/s]
Loading 0:  24%|██▍       | 87/363 [00:02<00:10, 27.06it/s]
Loading 0:  25%|██▌       | 92/363 [00:03<00:10, 26.61it/s]
Loading 0:  27%|██▋       | 99/363 [00:03<00:07, 33.93it/s]
Loading 0:  28%|██▊       | 103/363 [00:03<00:08, 32.27it/s]
Loading 0:  29%|██▉       | 107/363 [00:03<00:09, 27.10it/s]
Loading 0:  31%|███       | 112/363 [00:03<00:08, 29.24it/s]
Loading 0:  32%|███▏      | 116/363 [00:03<00:08, 27.84it/s]
Loading 0:  33%|███▎      | 119/363 [00:03<00:08, 27.42it/s]
Loading 0:  34%|███▎      | 122/363 [00:04<00:13, 18.16it/s]
Loading 0:  35%|███▍      | 127/363 [00:04<00:11, 21.24it/s]
Loading 0:  36%|███▌      | 131/363 [00:04<00:11, 20.65it/s]
Loading 0:  38%|███▊      | 138/363 [00:04<00:07, 28.50it/s]
Loading 0:  39%|███▉      | 142/363 [00:04<00:07, 28.43it/s]
Loading 0:  41%|████      | 149/363 [00:05<00:06, 35.16it/s]
Loading 0:  42%|████▏     | 153/363 [00:05<00:08, 23.74it/s]
Loading 0:  44%|████▎     | 158/363 [00:05<00:08, 24.13it/s]
Loading 0:  45%|████▌     | 165/363 [00:05<00:06, 30.29it/s]
Loading 0:  47%|████▋     | 169/363 [00:05<00:06, 28.64it/s]
Loading 0:  48%|████▊     | 174/363 [00:05<00:05, 31.74it/s]
Loading 0:  49%|████▉     | 178/363 [00:06<00:06, 30.38it/s]
Loading 0:  50%|█████     | 182/363 [00:06<00:05, 30.88it/s]
Loading 0:  52%|█████▏    | 187/363 [00:06<00:06, 28.09it/s]
Loading 0:  53%|█████▎    | 191/363 [00:06<00:06, 27.68it/s]
Loading 0:  53%|█████▎    | 194/363 [00:06<00:07, 23.65it/s]
Loading 0:  55%|█████▌    | 201/363 [00:19<02:13,  1.21it/s]
Loading 0:  56%|█████▌    | 203/363 [00:20<01:55,  1.39it/s]
Loading 0:  57%|█████▋    | 208/363 [00:20<01:14,  2.09it/s]
Loading 0:  58%|█████▊    | 211/363 [00:20<00:57,  2.64it/s]
Loading 0:  59%|█████▉    | 214/363 [00:20<00:43,  3.40it/s]
Loading 0:  60%|██████    | 218/363 [00:20<00:30,  4.77it/s]
Loading 0:  61%|██████    | 221/363 [00:20<00:23,  6.05it/s]
Loading 0:  62%|██████▏   | 224/363 [00:20<00:19,  7.24it/s]
Loading 0:  63%|██████▎   | 229/363 [00:21<00:12, 10.52it/s]
Loading 0:  64%|██████▍   | 232/363 [00:21<00:10, 12.33it/s]
Loading 0:  65%|██████▌   | 237/363 [00:21<00:07, 16.76it/s]
Loading 0:  66%|██████▋   | 241/363 [00:21<00:06, 18.68it/s]
Loading 0:  68%|██████▊   | 246/363 [00:21<00:05, 23.33it/s]
Loading 0:  69%|██████▉   | 250/363 [00:21<00:04, 24.65it/s]
Loading 0:  70%|███████   | 255/363 [00:21<00:03, 28.94it/s]
Loading 0:  71%|███████▏  | 259/363 [00:21<00:03, 28.69it/s]
Loading 0:  73%|███████▎  | 266/363 [00:22<00:02, 35.68it/s]
Loading 0:  74%|███████▍  | 270/363 [00:22<00:03, 23.63it/s]
Loading 0:  76%|███████▌  | 275/363 [00:22<00:03, 24.17it/s]
Loading 0:  78%|███████▊  | 282/363 [00:22<00:02, 31.13it/s]
Loading 0:  79%|███████▉  | 286/363 [00:22<00:02, 30.52it/s]
Loading 0:  80%|████████  | 291/363 [00:23<00:02, 32.94it/s]
Loading 0:  81%|████████▏ | 295/363 [00:23<00:02, 31.26it/s]
Loading 0:  82%|████████▏ | 299/363 [00:23<00:01, 32.03it/s]
Loading 0:  84%|████████▎ | 304/363 [00:23<00:02, 28.39it/s]
Loading 0:  85%|████████▍ | 308/363 [00:23<00:01, 27.80it/s]
Loading 0:  86%|████████▌ | 311/363 [00:23<00:02, 23.60it/s]
Loading 0:  88%|████████▊ | 318/363 [00:23<00:01, 31.14it/s]
Loading 0:  89%|████████▊ | 322/363 [00:24<00:01, 29.52it/s]
Loading 0:  90%|█████████ | 327/363 [00:24<00:01, 32.00it/s]
Loading 0:  91%|█████████ | 331/363 [00:24<00:01, 30.71it/s]
Loading 0:  92%|█████████▏| 335/363 [00:24<00:00, 31.74it/s]
Loading 0:  93%|█████████▎| 339/363 [00:24<00:00, 32.83it/s]
Loading 0:  94%|█████████▍| 343/363 [00:25<00:01, 19.91it/s]
Loading 0:  96%|█████████▌| 348/363 [00:25<00:00, 21.30it/s]
Loading 0:  98%|█████████▊| 355/363 [00:25<00:00, 28.71it/s]
Loading 0:  99%|█████████▉| 359/363 [00:25<00:00, 28.60it/s]
                                                            
Job chaiml-1110-quang-ir-mi-93966-v1-mkmlizer completed after 176.22s with status: succeeded
Stopping job with name chaiml-1110-quang-ir-mi-93966-v1-mkmlizer
Pipeline stage MKMLizer completed in 176.79s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-1110-quang-ir-mi-93966-v1
Waiting for inference service chaiml-1110-quang-ir-mi-93966-v1 to be ready
Inference service chaiml-1110-quang-ir-mi-93966-v1 ready after 170.87627053260803s
Pipeline stage MKMLDeployer completed in 171.49s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.575077533721924s
Received healthy response to inference request in 2.484853744506836s
Received healthy response to inference request in 2.4403929710388184s
Received healthy response to inference request in 2.9467039108276367s
Received healthy response to inference request in 2.337064027786255s
5 requests
0 failed requests
5th percentile: 2.3577298164367675
10th percentile: 2.37839560508728
20th percentile: 2.4197271823883058
30th percentile: 2.449285125732422
40th percentile: 2.4670694351196287
50th percentile: 2.484853744506836
60th percentile: 2.520943260192871
70th percentile: 2.5570327758789064
80th percentile: 2.6494028091430666
90th percentile: 2.7980533599853517
95th percentile: 2.872378635406494
99th percentile: 2.931838855743408
mean time: 2.556818437576294
Pipeline stage StressChecker completed in 14.16s
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 0.67s
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 0.66s
Shutdown handler de-registered
chaiml-1110-quang-ir-mi_93966_v1 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 0.08s
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-1110-quang-ir-mi-93966-v1-profiler
Waiting for inference service chaiml-1110-quang-ir-mi-93966-v1-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5770.40s
Shutdown handler de-registered
chaiml-1110-quang-ir-mi_93966_v1 status is now torndown due to DeploymentManager action