developer_uid: chai_backend_admin
submission_id: chaiml-1113-quang-ir-cl_54814_v1
model_name: training123
model_group: ChaiML/1113-quang-ir-cld
status: torndown
timestamp: 2025-11-16T21:21:32+00:00
num_battles: 6277
num_wins: 3229
celo_rating: 1296.04
family_friendly_score: 0.5025999999999999
family_friendly_standard_error: 0.007070972210382389
submission_type: basic
model_repo: ChaiML/1113-quang-ir-cld-freev2-rm-fs05-dporm_freev22rm_0164641ep_5e6ct
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': 0.3845906245354805, 'latency_mean': 2.6000665867328645, 'latency_p50': 2.568045973777771, 'latency_p90': 2.858501601219177}, {'batch_size': 2, 'throughput': 0.5694860787877244, 'latency_mean': 3.50863706111908, 'latency_p50': 3.4965200424194336, 'latency_p90': 3.806828236579895}, {'batch_size': 3, 'throughput': 0.707631231974711, 'latency_mean': 4.2348758363723755, 'latency_p50': 4.226419925689697, 'latency_p90': 4.60335144996643}, {'batch_size': 4, 'throughput': 0.8046140500064364, 'latency_mean': 4.944784133434296, 'latency_p50': 4.897950291633606, 'latency_p90': 5.801423048973083}, {'batch_size': 5, 'throughput': 0.862935428205997, 'latency_mean': 5.771741224527359, 'latency_p50': 5.7431347370147705, 'latency_p90': 6.5378056287765505}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/1113-quang-ir-cld-freev2-rm-fs05-dporm_freev22rm_0164641ep_5e6ct
model_size: 24B
ranking_group: single
throughput_3p7s: 0.61
us_pacific_date: 2025-11-13
win_ratio: 0.5144177154691731
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-1113-quang-ir-cl-54814-v1-mkmlizer
Waiting for job on chaiml-1113-quang-ir-cl-54814-v1-mkmlizer to finish
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ Version: 0.30.2 ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ belonging to: ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ║ ║
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: Downloaded to shared memory in 51.888s
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: Checking if ChaiML/1113-quang-ir-cld-freev2-rm-fs05-dporm_freev22rm_0164641ep_5e6ct already exists in ChaiML
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp54c25zzb, device:0
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: quantized model in 42.771s
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: Processed model ChaiML/1113-quang-ir-cld-freev2-rm-fs05-dporm_freev22rm_0164641ep_5e6ct in 94.660s
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1113-quang-ir-cl-54814-v1/nvidia
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1113-quang-ir-cl-54814-v1/nvidia/special_tokens_map.json
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1113-quang-ir-cl-54814-v1/nvidia/config.json
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1113-quang-ir-cl-54814-v1/nvidia/tokenizer_config.json
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1113-quang-ir-cl-54814-v1/nvidia/tokenizer.json
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1113-quang-ir-cl-54814-v1/nvidia/flywheel_model.1.safetensors
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1113-quang-ir-cl-54814-v1/nvidia/flywheel_model.0.safetensors
chaiml-1113-quang-ir-cl-54814-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:15, 22.46it/s] Loading 0: 3%|▎ | 12/363 [00:00<00:08, 40.83it/s] Loading 0: 5%|▍ | 17/363 [00:00<00:09, 37.24it/s] Loading 0: 6%|▌ | 22/363 [00:00<00:09, 36.61it/s] Loading 0: 7%|▋ | 26/363 [00:00<00:09, 36.99it/s] Loading 0: 9%|▉ | 32/363 [00:00<00:07, 41.93it/s] Loading 0: 10%|█ | 37/363 [00:01<00:12, 26.32it/s] Loading 0: 11%|█▏ | 41/363 [00:01<00:12, 24.81it/s] Loading 0: 13%|█▎ | 48/363 [00:01<00:09, 32.57it/s] Loading 0: 15%|█▍ | 53/363 [00:01<00:09, 32.40it/s] Loading 0: 16%|█▌ | 58/363 [00:01<00:09, 33.26it/s] Loading 0: 17%|█▋ | 62/363 [00:01<00:08, 33.62it/s] Loading 0: 18%|█▊ | 66/363 [00:02<00:08, 34.30it/s] Loading 0: 19%|█▉ | 70/363 [00:02<00:09, 29.44it/s] Loading 0: 20%|██ | 74/363 [00:02<00:10, 26.73it/s] Loading 0: 22%|██▏ | 79/363 [00:02<00:09, 30.65it/s] Loading 0: 23%|██▎ | 83/363 [00:02<00:08, 31.69it/s] Loading 0: 24%|██▍ | 87/363 [00:02<00:09, 27.95it/s] Loading 0: 25%|██▌ | 92/363 [00:02<00:09, 27.26it/s] Loading 0: 27%|██▋ | 99/363 [00:03<00:07, 34.68it/s] Loading 0: 28%|██▊ | 103/363 [00:03<00:08, 32.46it/s] Loading 0: 29%|██▉ | 107/363 [00:03<00:08, 28.68it/s] Loading 0: 31%|███ | 112/363 [00:03<00:08, 30.67it/s] Loading 0: 32%|███▏ | 116/363 [00:03<00:08, 30.26it/s] Loading 0: 33%|███▎ | 120/363 [00:03<00:07, 32.27it/s] Loading 0: 34%|███▍ | 124/363 [00:03<00:07, 30.72it/s] Loading 0: 36%|███▌ | 129/363 [00:04<00:06, 34.15it/s] Loading 0: 37%|███▋ | 133/363 [00:04<00:07, 32.15it/s] Loading 0: 38%|███▊ | 138/363 [00:04<00:06, 35.30it/s] Loading 0: 39%|███▉ | 142/363 [00:04<00:06, 32.84it/s] Loading 0: 41%|████ | 149/363 [00:04<00:05, 39.19it/s] Loading 0: 42%|████▏ | 154/363 [00:04<00:07, 26.98it/s] Loading 0: 44%|████▎ | 158/363 [00:05<00:08, 25.03it/s] Loading 0: 45%|████▌ | 165/363 [00:05<00:06, 32.15it/s] Loading 0: 47%|████▋ | 169/363 [00:05<00:06, 31.15it/s] Loading 0: 48%|████▊ | 174/363 [00:05<00:05, 34.21it/s] Loading 0: 49%|████▉ | 178/363 [00:05<00:05, 31.63it/s] Loading 0: 50%|█████ | 182/363 [00:05<00:05, 32.15it/s] Loading 0: 52%|█████▏ | 187/363 [00:05<00:06, 29.29it/s] Loading 0: 53%|█████▎ | 191/363 [00:06<00:05, 28.96it/s] Loading 0: 54%|█████▎ | 195/363 [00:06<00:06, 25.91it/s] Loading 0: 55%|█████▌ | 201/363 [00:19<02:15, 1.20it/s] Loading 0: 56%|█████▌ | 203/363 [00:19<01:55, 1.38it/s] Loading 0: 57%|█████▋ | 208/363 [00:19<01:14, 2.09it/s] Loading 0: 58%|█████▊ | 211/363 [00:19<00:57, 2.64it/s] Loading 0: 59%|█████▉ | 214/363 [00:19<00:43, 3.39it/s] Loading 0: 60%|██████ | 218/363 [00:20<00:30, 4.76it/s] Loading 0: 61%|██████ | 221/363 [00:20<00:23, 6.00it/s] Loading 0: 62%|██████▏ | 224/363 [00:20<00:19, 7.21it/s] Loading 0: 63%|██████▎ | 229/363 [00:20<00:12, 10.54it/s] Loading 0: 64%|██████▍ | 232/363 [00:20<00:10, 12.47it/s] Loading 0: 65%|██████▌ | 237/363 [00:20<00:07, 16.96it/s] Loading 0: 66%|██████▋ | 241/363 [00:20<00:06, 19.10it/s] Loading 0: 68%|██████▊ | 246/363 [00:20<00:04, 23.75it/s] Loading 0: 69%|██████▉ | 250/363 [00:21<00:04, 24.65it/s] Loading 0: 70%|███████ | 255/363 [00:21<00:03, 28.09it/s] Loading 0: 71%|███████▏ | 259/363 [00:21<00:03, 26.09it/s] Loading 0: 72%|███████▏ | 263/363 [00:21<00:03, 27.46it/s] Loading 0: 74%|███████▎ | 267/363 [00:21<00:04, 19.44it/s] Loading 0: 74%|███████▍ | 270/363 [00:22<00:05, 17.64it/s] Loading 0: 76%|███████▌ | 275/363 [00:22<00:04, 19.92it/s] Loading 0: 78%|███████▊ | 282/363 [00:22<00:02, 27.18it/s] Loading 0: 79%|███████▉ | 286/363 [00:22<00:02, 27.35it/s] Loading 0: 80%|████████ | 291/363 [00:22<00:02, 30.80it/s] Loading 0: 81%|████████▏ | 295/363 [00:22<00:02, 29.95it/s] Loading 0: 82%|████████▏ | 299/363 [00:22<00:02, 31.15it/s] Loading 0: 84%|████████▎ | 304/363 [00:23<00:02, 28.68it/s] Loading 0: 85%|████████▍ | 308/363 [00:23<00:01, 28.09it/s] Loading 0: 86%|████████▌ | 311/363 [00:23<00:02, 23.90it/s] Loading 0: 88%|████████▊ | 318/363 [00:23<00:01, 31.94it/s] Loading 0: 89%|████████▊ | 322/363 [00:23<00:01, 30.26it/s] Loading 0: 90%|█████████ | 327/363 [00:23<00:01, 33.79it/s] Loading 0: 91%|█████████ | 331/363 [00:24<00:00, 32.28it/s] Loading 0: 92%|█████████▏| 335/363 [00:24<00:00, 33.27it/s] Loading 0: 93%|█████████▎| 339/363 [00:24<00:00, 33.68it/s] Loading 0: 94%|█████████▍| 343/363 [00:24<00:00, 20.48it/s] Loading 0: 96%|█████████▌| 348/363 [00:24<00:00, 21.90it/s] Loading 0: 98%|█████████▊| 355/363 [00:24<00:00, 29.03it/s] Loading 0: 99%|█████████▉| 359/363 [00:25<00:00, 28.93it/s]
Job chaiml-1113-quang-ir-cl-54814-v1-mkmlizer completed after 186.16s with status: succeeded
Stopping job with name chaiml-1113-quang-ir-cl-54814-v1-mkmlizer
Pipeline stage MKMLizer completed in 186.81s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-1113-quang-ir-cl-54814-v1
Waiting for inference service chaiml-1113-quang-ir-cl-54814-v1 to be ready
Failed to get response for submission chaiml-4d70-fd43-linear-w01_v8: ('http://guanaco-model-mesh-load-balancer.model-mesh.k2.chaiverse.com/models/chaiml-4d70-fd43-linear-w01_v8/predict', 'read tcp 127.0.0.1:60954->127.0.0.1:8080: read: connection reset by peer\n')
Inference service chaiml-1113-quang-ir-cl-54814-v1 ready after 151.17221999168396s
Pipeline stage MKMLDeployer completed in 151.75s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.8917057514190674s
Received healthy response to inference request in 2.255171537399292s
Received healthy response to inference request in 2.282158136367798s
Received healthy response to inference request in 2.2202229499816895s
Received healthy response to inference request in 2.3995425701141357s
5 requests
0 failed requests
5th percentile: 2.22721266746521
10th percentile: 2.2342023849487305
20th percentile: 2.2481818199157715
30th percentile: 2.260568857192993
40th percentile: 2.2713634967803955
50th percentile: 2.282158136367798
60th percentile: 2.329111909866333
70th percentile: 2.3760656833648683
80th percentile: 2.497975206375122
90th percentile: 2.6948404788970945
95th percentile: 2.793273115158081
99th percentile: 2.8720192241668703
mean time: 2.4097601890563967
Pipeline stage StressChecker completed in 13.49s
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 0.64s
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 0.75s
Shutdown handler de-registered
chaiml-1113-quang-ir-cl_54814_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 3173.01s
Shutdown handler de-registered
chaiml-1113-quang-ir-cl_54814_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-1113-quang-ir-cl_54814_v1 status is now torndown due to DeploymentManager action