developer_uid: chai_backend_admin
submission_id: chaiml-1102-quang-ir-mi_36509_v1
model_name: training123
model_group: ChaiML/1102-quang-ir-mix
status: inactive
timestamp: 2025-11-03T05:56:52+00:00
num_battles: 6041
num_wins: 3073
celo_rating: 1298.21
family_friendly_score: 0.49539999999999995
family_friendly_standard_error: 0.00707076855794333
submission_type: basic
model_repo: ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_1e60051e128
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': 0.37782077427075317, 'latency_mean': 2.6466312313079836, 'latency_p50': 2.655575156211853, 'latency_p90': 2.8873432159423826}, {'batch_size': 2, 'throughput': 0.5701140599673066, 'latency_mean': 3.4957254350185396, 'latency_p50': 3.515592098236084, 'latency_p90': 3.799735426902771}, {'batch_size': 3, 'throughput': 0.7054011593462094, 'latency_mean': 4.239521254301071, 'latency_p50': 4.240459442138672, 'latency_p90': 4.608279728889466}, {'batch_size': 4, 'throughput': 0.795540683770084, 'latency_mean': 5.011787338256836, 'latency_p50': 4.995836615562439, 'latency_p90': 5.67054545879364}, {'batch_size': 5, 'throughput': 0.8636802942477687, 'latency_mean': 5.7534414529800415, 'latency_p50': 5.751864194869995, 'latency_p90': 6.4854512214660645}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_1e60051e128
model_size: 24B
ranking_group: single
throughput_3p7s: 0.61
us_pacific_date: 2025-11-02
win_ratio: 0.5086906141367323
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-1102-quang-ir-mi-36509-v1-mkmlizer
Waiting for job on chaiml-1102-quang-ir-mi-36509-v1-mkmlizer to finish
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ belonging to: ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ║ ║
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: Downloaded to shared memory in 58.871s
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: Checking if ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_1e60051e128 already exists in ChaiML
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptgcqysdz, device:0
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: quantized model in 42.947s
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: Processed model ChaiML/1102-quang-ir-mixo31n1-cld-iq8-adh8-onlyh-dpo_1e60051e128 in 101.818s
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-36509-v1/nvidia
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-36509-v1/nvidia/config.json
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-36509-v1/nvidia/special_tokens_map.json
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-36509-v1/nvidia/tokenizer_config.json
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-36509-v1/nvidia/tokenizer.json
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-36509-v1/nvidia/flywheel_model.0.safetensors
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1102-quang-ir-mi-36509-v1/nvidia/flywheel_model.1.safetensors
chaiml-1102-quang-ir-mi-36509-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:19, 18.34it/s] Loading 0: 3%|▎ | 10/363 [00:00<00:13, 26.30it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:14, 23.95it/s] Loading 0: 4%|▍ | 16/363 [00:00<00:18, 19.22it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:17, 19.67it/s] Loading 0: 6%|▌ | 22/363 [00:01<00:15, 21.99it/s] Loading 0: 7%|▋ | 25/363 [00:01<00:15, 22.06it/s] Loading 0: 8%|▊ | 29/363 [00:01<00:12, 26.34it/s] Loading 0: 9%|▉ | 32/363 [00:01<00:12, 26.55it/s] Loading 0: 10%|▉ | 35/363 [00:01<00:17, 18.39it/s] Loading 0: 10%|█ | 38/363 [00:01<00:15, 20.49it/s] Loading 0: 11%|█▏ | 41/363 [00:01<00:17, 18.73it/s] Loading 0: 13%|█▎ | 48/363 [00:02<00:11, 28.18it/s] Loading 0: 14%|█▍ | 52/363 [00:02<00:11, 27.25it/s] Loading 0: 16%|█▌ | 57/363 [00:02<00:09, 31.64it/s] Loading 0: 17%|█▋ | 61/363 [00:02<00:09, 30.33it/s] Loading 0: 18%|█▊ | 65/363 [00:02<00:09, 31.99it/s] Loading 0: 19%|█▉ | 70/363 [00:02<00:10, 29.23it/s] Loading 0: 20%|██ | 74/363 [00:02<00:11, 26.24it/s] Loading 0: 22%|██▏ | 79/363 [00:03<00:09, 30.39it/s] Loading 0: 23%|██▎ | 83/363 [00:03<00:08, 31.58it/s] Loading 0: 24%|██▍ | 87/363 [00:03<00:09, 27.79it/s] Loading 0: 25%|██▌ | 92/363 [00:03<00:10, 26.29it/s] Loading 0: 27%|██▋ | 99/363 [00:03<00:07, 33.58it/s] Loading 0: 28%|██▊ | 103/363 [00:03<00:08, 31.71it/s] Loading 0: 29%|██▉ | 107/363 [00:04<00:09, 27.54it/s] Loading 0: 31%|███ | 112/363 [00:04<00:08, 29.89it/s] Loading 0: 32%|███▏ | 116/363 [00:04<00:08, 30.78it/s] Loading 0: 33%|███▎ | 120/363 [00:04<00:07, 32.67it/s] Loading 0: 34%|███▍ | 124/363 [00:04<00:07, 30.77it/s] Loading 0: 36%|███▌ | 129/363 [00:04<00:06, 34.27it/s] Loading 0: 37%|███▋ | 133/363 [00:04<00:07, 32.30it/s] Loading 0: 38%|███▊ | 138/363 [00:04<00:06, 35.41it/s] Loading 0: 39%|███▉ | 142/363 [00:05<00:06, 32.74it/s] Loading 0: 41%|████ | 149/363 [00:05<00:05, 39.02it/s] Loading 0: 42%|████▏ | 153/363 [00:05<00:08, 24.76it/s] Loading 0: 44%|████▎ | 158/363 [00:05<00:08, 25.06it/s] Loading 0: 45%|████▌ | 165/363 [00:05<00:06, 32.03it/s] Loading 0: 47%|████▋ | 169/363 [00:06<00:06, 30.60it/s] Loading 0: 48%|████▊ | 174/363 [00:06<00:05, 33.54it/s] Loading 0: 49%|████▉ | 178/363 [00:06<00:05, 31.22it/s] Loading 0: 50%|█████ | 182/363 [00:06<00:05, 32.15it/s] Loading 0: 52%|█████▏ | 187/363 [00:06<00:06, 29.25it/s] Loading 0: 53%|█████▎ | 191/363 [00:06<00:06, 28.48it/s] Loading 0: 53%|█████▎ | 194/363 [00:06<00:07, 24.07it/s] Loading 0: 55%|█████▌ | 200/363 [00:20<00:06, 24.07it/s] Loading 0: 55%|█████▌ | 201/363 [00:20<02:13, 1.21it/s] Loading 0: 56%|█████▌ | 203/363 [00:20<01:54, 1.39it/s] Loading 0: 57%|█████▋ | 208/363 [00:20<01:13, 2.10it/s] Loading 0: 58%|█████▊ | 211/363 [00:20<00:57, 2.65it/s] Loading 0: 59%|█████▉ | 214/363 [00:20<00:43, 3.41it/s] Loading 0: 60%|██████ | 218/363 [00:20<00:30, 4.79it/s] Loading 0: 61%|██████ | 221/363 [00:20<00:23, 6.07it/s] Loading 0: 62%|██████▏ | 224/363 [00:21<00:19, 7.27it/s] Loading 0: 63%|██████▎ | 229/363 [00:21<00:12, 10.59it/s] Loading 0: 64%|██████▍ | 232/363 [00:21<00:10, 12.47it/s] Loading 0: 65%|██████▌ | 237/363 [00:21<00:07, 17.02it/s] Loading 0: 66%|██████▋ | 241/363 [00:21<00:06, 19.22it/s] Loading 0: 68%|██████▊ | 246/363 [00:21<00:04, 23.87it/s] Loading 0: 69%|██████▉ | 250/363 [00:21<00:04, 24.89it/s] Loading 0: 70%|███████ | 255/363 [00:21<00:03, 29.29it/s] Loading 0: 71%|███████▏ | 259/363 [00:22<00:03, 28.49it/s] Loading 0: 73%|███████▎ | 266/363 [00:22<00:02, 35.38it/s] Loading 0: 74%|███████▍ | 270/363 [00:22<00:03, 24.01it/s] Loading 0: 76%|███████▌ | 275/363 [00:22<00:03, 23.87it/s] Loading 0: 78%|███████▊ | 282/363 [00:22<00:02, 30.45it/s] Loading 0: 79%|███████▉ | 286/363 [00:23<00:02, 29.66it/s] Loading 0: 80%|████████ | 291/363 [00:23<00:02, 32.95it/s] Loading 0: 81%|████████▏ | 295/363 [00:23<00:02, 31.25it/s] Loading 0: 82%|████████▏ | 299/363 [00:23<00:01, 32.30it/s] Loading 0: 84%|████████▎ | 304/363 [00:23<00:01, 29.78it/s] Loading 0: 85%|████████▍ | 308/363 [00:23<00:01, 28.90it/s] Loading 0: 86%|████████▌ | 312/363 [00:23<00:01, 25.89it/s] Loading 0: 88%|████████▊ | 318/363 [00:24<00:01, 31.55it/s] Loading 0: 89%|████████▊ | 322/363 [00:24<00:01, 29.66it/s] Loading 0: 90%|█████████ | 327/363 [00:24<00:01, 33.14it/s] Loading 0: 91%|█████████ | 331/363 [00:24<00:01, 31.75it/s] Loading 0: 92%|█████████▏| 335/363 [00:24<00:00, 32.73it/s] Loading 0: 93%|█████████▎| 339/363 [00:24<00:00, 33.51it/s] Loading 0: 94%|█████████▍| 343/363 [00:25<00:00, 20.13it/s] Loading 0: 96%|█████████▌| 348/363 [00:25<00:00, 21.67it/s] Loading 0: 98%|█████████▊| 355/363 [00:25<00:00, 29.05it/s] Loading 0: 99%|█████████▉| 359/363 [00:25<00:00, 28.51it/s]
Job chaiml-1102-quang-ir-mi-36509-v1-mkmlizer completed after 215.79s with status: succeeded
Stopping job with name chaiml-1102-quang-ir-mi-36509-v1-mkmlizer
Pipeline stage MKMLizer completed in 216.28s
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-1102-quang-ir-mi-36509-v1
Waiting for inference service chaiml-1102-quang-ir-mi-36509-v1 to be ready
Inference service chaiml-1102-quang-ir-mi-36509-v1 ready after 130.54252672195435s
Pipeline stage MKMLDeployer completed in 131.11s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5690104961395264s
Received healthy response to inference request in 2.359787702560425s
Received healthy response to inference request in 2.239501714706421s
Received healthy response to inference request in 2.2235422134399414s
Received healthy response to inference request in 2.2977731227874756s
5 requests
0 failed requests
5th percentile: 2.2267341136932375
10th percentile: 2.229926013946533
20th percentile: 2.236309814453125
30th percentile: 2.2511559963226317
40th percentile: 2.274464559555054
50th percentile: 2.2977731227874756
60th percentile: 2.322578954696655
70th percentile: 2.347384786605835
80th percentile: 2.4016322612762453
90th percentile: 2.485321378707886
95th percentile: 2.527165937423706
99th percentile: 2.5606415843963624
mean time: 2.337923049926758
Pipeline stage StressChecker completed in 12.97s
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 0.68s
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 0.64s
Shutdown handler de-registered
chaiml-1102-quang-ir-mi_36509_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 0.10s
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-1102-quang-ir-mi-36509-v1-profiler
Waiting for inference service chaiml-1102-quang-ir-mi-36509-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3078.85s
Shutdown handler de-registered
chaiml-1102-quang-ir-mi_36509_v1 status is now inactive due to auto deactivation removed underperforming models