junhua024-chai-06-full-_21065

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_21065_v1
model_name: junhua024-chai-06-full-_21065_v1
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T12:12:09+00:00
num_battles: 5369
num_wins: 2642
celo_rating: 1265.3
family_friendly_score: 0.5566
family_friendly_standard_error: 0.007025616556573523
submission_type: basic
model_repo: junhua024/chai_06_full_02102_811
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': 0.5965421174657355, 'latency_mean': 1.6762004959583283, 'latency_p50': 1.6717565059661865, 'latency_p90': 1.8517887830734252}, {'batch_size': 3, 'throughput': 1.0741283493443023, 'latency_mean': 2.780307255983353, 'latency_p50': 2.7688242197036743, 'latency_p90': 3.1142499446868896}, {'batch_size': 5, 'throughput': 1.2840602625808737, 'latency_mean': 3.875507973432541, 'latency_p50': 3.8792989253997803, 'latency_p90': 4.336301732063293}, {'batch_size': 6, 'throughput': 1.328680345219734, 'latency_mean': 4.490547449588775, 'latency_p50': 4.510791540145874, 'latency_p90': 4.962390351295471}, {'batch_size': 8, 'throughput': 1.3869197665795394, 'latency_mean': 5.7266417145729065, 'latency_p50': 5.718498110771179, 'latency_p90': 6.426478528976441}, {'batch_size': 10, 'throughput': 1.4257584500068226, 'latency_mean': 6.956046615839004, 'latency_p50': 6.957613706588745, 'latency_p90': 7.952872967720031}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_21065_v1
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_811
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-17
win_ratio: 0.49208418699944123
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-21065-v1-mkmlizer
Waiting for job on junhua024-chai-06-full-21065-v1-mkmlizer to finish
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junhua024-chai-06-full-21065-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-21065-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-21065-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-21065-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-21065-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-21065-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-21065-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-21065-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-21065-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-21065-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-21065-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-21065-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-21065-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-21065-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-21065-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-21065-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-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-21065-v1-mkmlizer: 
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junhua024-chai-06-full-21065-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkhkhfb6j, device:0
junhua024-chai-06-full-21065-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-21065-v1-mkmlizer: quantized model in 32.364s
junhua024-chai-06-full-21065-v1-mkmlizer: Processed model junhua024/chai_06_full_02102_811 in 245.281s
junhua024-chai-06-full-21065-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-21065-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-21065-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-21065-v1/nvidia
junhua024-chai-06-full-21065-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-21065-v1/nvidia/config.json
junhua024-chai-06-full-21065-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-21065-v1/nvidia/special_tokens_map.json
junhua024-chai-06-full-21065-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-21065-v1/nvidia/tokenizer_config.json
junhua024-chai-06-full-21065-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-21065-v1/nvidia/tokenizer.json
junhua024-chai-06-full-21065-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-21065-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-21065-v1-mkmlizer completed after 267.17s with status: succeeded
Stopping job with name junhua024-chai-06-full-21065-v1-mkmlizer
Pipeline stage MKMLizer completed in 267.93s
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 junhua024-chai-06-full-21065-v1
Waiting for inference service junhua024-chai-06-full-21065-v1 to be ready
Inference service junhua024-chai-06-full-21065-v1 ready after 302.51099705696106s
Pipeline stage MKMLDeployer completed in 303.10s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.51287579536438s
Received healthy response to inference request in 1.7001962661743164s
Received healthy response to inference request in 1.6469120979309082s
Received healthy response to inference request in 1.5077157020568848s
Received healthy response to inference request in 1.629714012145996s
5 requests
0 failed requests
5th percentile: 1.532115364074707
10th percentile: 1.5565150260925293
20th percentile: 1.605314350128174
30th percentile: 1.6331536293029785
40th percentile: 1.6400328636169434
50th percentile: 1.6469120979309082
60th percentile: 1.6682257652282715
70th percentile: 1.6895394325256348
80th percentile: 1.8627321720123293
90th percentile: 2.1878039836883545
95th percentile: 2.350339889526367
99th percentile: 2.4803686141967773
mean time: 1.799482774734497
Pipeline stage StressChecker completed in 10.48s
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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 0.74s
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 0.71s
Shutdown handler de-registered
junhua024-chai-06-full-_21065_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 3070.43s
Shutdown handler de-registered
junhua024-chai-06-full-_21065_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_21065_v1 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_21065_v1 status is now torndown due to DeploymentManager action