junhua024-chai-06-full-_31336

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_31336_v2
model_name: junhua024-chai-06-full-_31336_v2
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T12:07:25+00:00
num_battles: 5946
num_wins: 3076
celo_rating: 1285.35
family_friendly_score: 0.5569999999999999
family_friendly_standard_error: 0.007024969750824553
submission_type: basic
model_repo: junhua024/chai_06_full_02102_1619
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5980633410529078, 'latency_mean': 1.6718824899196625, 'latency_p50': 1.6603703498840332, 'latency_p90': 1.85615816116333}, {'batch_size': 3, 'throughput': 1.0752892743431237, 'latency_mean': 2.780077928304672, 'latency_p50': 2.803292751312256, 'latency_p90': 3.0515533685684204}, {'batch_size': 5, 'throughput': 1.2904655225864725, 'latency_mean': 3.8517867398262022, 'latency_p50': 3.865080714225769, 'latency_p90': 4.280472826957703}, {'batch_size': 6, 'throughput': 1.3542994409455753, 'latency_mean': 4.402426325082779, 'latency_p50': 4.386261582374573, 'latency_p90': 4.9799930334091185}, {'batch_size': 8, 'throughput': 1.4281178085783808, 'latency_mean': 5.555890716314316, 'latency_p50': 5.546216011047363, 'latency_p90': 6.166656565666199}, {'batch_size': 10, 'throughput': 1.4563916695177357, 'latency_mean': 6.797980431318283, 'latency_p50': 6.837803602218628, 'latency_p90': 7.524591326713562}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_31336_v2
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1619
model_size: 13B
ranking_group: single
throughput_3p7s: 1.27
us_pacific_date: 2025-07-17
win_ratio: 0.51732256979482
generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
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 junhua024-chai-06-full-31336-v2-mkmlizer
Waiting for job on junhua024-chai-06-full-31336-v2-mkmlizer to finish
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junhua024-chai-06-full-31336-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-31336-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-31336-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31336-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-31336-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-31336-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-31336-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-31336-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31336-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-31336-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-31336-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31336-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-31336-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-31336-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-31336-v2-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31336-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Xet Storage is enabled for this repo, but the 'hf_xet' package is not installed. Falling back to regular HTTP download. For better performance, install the package with: `pip install huggingface_hub[hf_xet]` or `pip install hf_xet`
junhua024-chai-06-full-31336-v2-mkmlizer: Downloaded to shared memory in 119.453s
junhua024-chai-06-full-31336-v2-mkmlizer: Checking if junhua024/chai_06_full_02102_1619 already exists in ChaiML
junhua024-chai-06-full-31336-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1hh5r720, device:0
junhua024-chai-06-full-31336-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-31336-v2-mkmlizer: quantized model in 38.787s
junhua024-chai-06-full-31336-v2-mkmlizer: Processed model junhua024/chai_06_full_02102_1619 in 158.332s
junhua024-chai-06-full-31336-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-31336-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-31336-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v2/nvidia
junhua024-chai-06-full-31336-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v2/nvidia/config.json
junhua024-chai-06-full-31336-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v2/nvidia/special_tokens_map.json
junhua024-chai-06-full-31336-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-31336-v2-mkmlizer: 
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Job junhua024-chai-06-full-31336-v2-mkmlizer completed after 190.09s with status: succeeded
Stopping job with name junhua024-chai-06-full-31336-v2-mkmlizer
Pipeline stage MKMLizer completed in 190.63s
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 junhua024-chai-06-full-31336-v2
Waiting for inference service junhua024-chai-06-full-31336-v2 to be ready
Inference service junhua024-chai-06-full-31336-v2 ready after 292.2875325679779s
Pipeline stage MKMLDeployer completed in 293.05s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.257739305496216s
Received healthy response to inference request in 1.5339605808258057s
Received healthy response to inference request in 1.8120319843292236s
Received healthy response to inference request in 1.5473992824554443s
Received healthy response to inference request in 1.6998720169067383s
5 requests
0 failed requests
5th percentile: 1.5366483211517334
10th percentile: 1.5393360614776612
20th percentile: 1.5447115421295166
30th percentile: 1.5778938293457032
40th percentile: 1.6388829231262207
50th percentile: 1.6998720169067383
60th percentile: 1.7447360038757325
70th percentile: 1.7895999908447267
80th percentile: 1.9011734485626222
90th percentile: 2.0794563770294188
95th percentile: 2.1685978412628173
99th percentile: 2.2399110126495363
mean time: 1.7702006340026855
Pipeline stage StressChecker completed in 10.51s
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 0.79s
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 0.72s
Shutdown handler de-registered
junhua024-chai-06-full-_31336_v2 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 3009.23s
Shutdown handler de-registered
junhua024-chai-06-full-_31336_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_31336_v2 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_31336_v2 status is now torndown due to DeploymentManager action