junhua024-chai-06-full-_31646

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_31646_v8
model_name: junhua024-chai-06-full-_31646_v8
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T13:27:37+00:00
num_battles: 6781
num_wins: 3402
celo_rating: 1289.49
family_friendly_score: 0.5569999999999999
family_friendly_standard_error: 0.007024969750824553
submission_type: basic
model_repo: junhua024/chai_06_full_02103_1925
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': 0.5913076964757288, 'latency_mean': 1.6909843039512635, 'latency_p50': 1.692198634147644, 'latency_p90': 1.8575462341308593}, {'batch_size': 3, 'throughput': 1.07848938743143, 'latency_mean': 2.7715383672714236, 'latency_p50': 2.76203453540802, 'latency_p90': 3.0472773551940917}, {'batch_size': 5, 'throughput': 1.2764728089486712, 'latency_mean': 3.908388785123825, 'latency_p50': 3.8839222192764282, 'latency_p90': 4.434190273284912}, {'batch_size': 6, 'throughput': 1.339744978350784, 'latency_mean': 4.4574398732185365, 'latency_p50': 4.473981022834778, 'latency_p90': 4.941869902610779}, {'batch_size': 8, 'throughput': 1.4095044877467087, 'latency_mean': 5.618288624286651, 'latency_p50': 5.609454154968262, 'latency_p90': 6.207065629959106}, {'batch_size': 10, 'throughput': 1.4254449040725483, 'latency_mean': 6.950913096666336, 'latency_p50': 6.965107679367065, 'latency_p90': 7.821580076217651}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_31646_v8
is_internal_developer: False
language_model: junhua024/chai_06_full_02103_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-18
win_ratio: 0.5016959150567762
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-31646-v8-mkmlizer
Waiting for job on junhua024-chai-06-full-31646-v8-mkmlizer to finish
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junhua024-chai-06-full-31646-v8-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-31646-v8-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-31646-v8-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31646-v8-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-31646-v8-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-31646-v8-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-31646-v8-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-31646-v8-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31646-v8-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-31646-v8-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-31646-v8-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31646-v8-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-31646-v8-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-31646-v8-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-31646-v8-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31646-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-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-31646-v8-mkmlizer: Downloaded to shared memory in 79.160s
junhua024-chai-06-full-31646-v8-mkmlizer: Checking if junhua024/chai_06_full_02103_1925 already exists in ChaiML
junhua024-chai-06-full-31646-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpey64_dqv, device:0
junhua024-chai-06-full-31646-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-31646-v8-mkmlizer: quantized model in 32.760s
junhua024-chai-06-full-31646-v8-mkmlizer: Processed model junhua024/chai_06_full_02103_1925 in 112.012s
junhua024-chai-06-full-31646-v8-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-31646-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-31646-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-31646-v8/nvidia
junhua024-chai-06-full-31646-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-31646-v8/nvidia/tokenizer.json
junhua024-chai-06-full-31646-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-31646-v8/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-31646-v8-mkmlizer: 
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Job junhua024-chai-06-full-31646-v8-mkmlizer completed after 140.36s with status: succeeded
Stopping job with name junhua024-chai-06-full-31646-v8-mkmlizer
Pipeline stage MKMLizer completed in 141.05s
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-31646-v8
Waiting for inference service junhua024-chai-06-full-31646-v8 to be ready
Failed to get response for submission chaiml-bat-boys-azeril-_87348_v1: ('http://chaiml-bat-boys-azeril-87348-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service junhua024-chai-06-full-31646-v8 ready after 322.3685460090637s
Pipeline stage MKMLDeployer completed in 322.90s
run pipeline stage %s
Running pipeline stage StressChecker
Failed to get response for submission chaiml-bat-boys-azeril-_87348_v1: ('http://chaiml-bat-boys-azeril-87348-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Received healthy response to inference request in 2.3424394130706787s
Received healthy response to inference request in 1.68857741355896s
Received healthy response to inference request in 1.7161691188812256s
Received healthy response to inference request in 1.5269575119018555s
Received healthy response to inference request in 1.9291505813598633s
5 requests
0 failed requests
5th percentile: 1.5592814922332763
10th percentile: 1.5916054725646973
20th percentile: 1.6562534332275392
30th percentile: 1.694095754623413
40th percentile: 1.7051324367523193
50th percentile: 1.7161691188812256
60th percentile: 1.8013617038726806
70th percentile: 1.8865542888641358
80th percentile: 2.0118083477020265
90th percentile: 2.1771238803863526
95th percentile: 2.2597816467285154
99th percentile: 2.3259078598022462
mean time: 1.8406588077545165
Pipeline stage StressChecker completed in 11.00s
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 0.70s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.73s
Shutdown handler de-registered
junhua024-chai-06-full-_31646_v8 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.17s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.14s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-31646-v8-profiler
Waiting for inference service junhua024-chai-06-full-31646-v8-profiler to be ready
Shutdown handler registered
run pipeline %s
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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 4713.42s
Shutdown handler de-registered
junhua024-chai-06-full-_31646_v8 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_31646_v8 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_31646_v8 status is now torndown due to DeploymentManager action