junhua024-chai-19-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19-full-0022_v5
model_name: junhua024-chai-19-full-0022_v5
model_group: junhua024/chai_19-full_0
status: torndown
timestamp: 2025-07-23T08:30:29+00:00
num_battles: 5766
num_wins: 2597
celo_rating: 1238.43
family_friendly_score: 0.5606
family_friendly_standard_error: 0.007018940660812
submission_type: basic
model_repo: junhua024/chai_19-full_0022
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': 0.6704008853854558, 'latency_mean': 1.4915394723415374, 'latency_p50': 1.5139814615249634, 'latency_p90': 1.6277854204177857}, {'batch_size': 3, 'throughput': 1.164569932595849, 'latency_mean': 2.5694159972667694, 'latency_p50': 2.5863622426986694, 'latency_p90': 2.815753173828125}, {'batch_size': 5, 'throughput': 1.3512860441004761, 'latency_mean': 3.686091239452362, 'latency_p50': 3.676966428756714, 'latency_p90': 4.107851243019104}, {'batch_size': 6, 'throughput': 1.4001015417308758, 'latency_mean': 4.26317158460617, 'latency_p50': 4.239719986915588, 'latency_p90': 4.785093021392822}, {'batch_size': 8, 'throughput': 1.457077036356839, 'latency_mean': 5.455334315299988, 'latency_p50': 5.4389073848724365, 'latency_p90': 6.084240198135376}, {'batch_size': 10, 'throughput': 1.4790460894942736, 'latency_mean': 6.71201983332634, 'latency_p50': 6.7895426750183105, 'latency_p90': 7.475991988182067}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-19-full-0022_v5
is_internal_developer: False
language_model: junhua024/chai_19-full_0022
model_size: 13B
ranking_group: single
throughput_3p7s: 1.36
us_pacific_date: 2025-07-23
win_ratio: 0.4503988900450919
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, '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-19-full-0022-v5-mkmlizer
Waiting for job on junhua024-chai-19-full-0022-v5-mkmlizer to finish
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junhua024-chai-19-full-0022-v5-mkmlizer: ║                                                                     ║
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junhua024-chai-19-full-0022-v5-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v5-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19-full-0022-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19-full-0022-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19-full-0022-v5-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19-full-0022-v5-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19-full-0022-v5-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19-full-0022-v5-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v5-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19-full-0022-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19-full-0022-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19-full-0022-v5-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-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-19-full-0022-v5-mkmlizer: Downloaded to shared memory in 123.485s
junhua024-chai-19-full-0022-v5-mkmlizer: Checking if junhua024/chai_19-full_0022 already exists in ChaiML
junhua024-chai-19-full-0022-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp42delvj8, device:0
junhua024-chai-19-full-0022-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19-full-0022-v5-mkmlizer: quantized model in 218.338s
junhua024-chai-19-full-0022-v5-mkmlizer: Processed model junhua024/chai_19-full_0022 in 341.903s
junhua024-chai-19-full-0022-v5-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19-full-0022-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19-full-0022-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v5/nvidia
junhua024-chai-19-full-0022-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v5/nvidia/config.json
junhua024-chai-19-full-0022-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v5/nvidia/special_tokens_map.json
junhua024-chai-19-full-0022-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v5/nvidia/tokenizer_config.json
junhua024-chai-19-full-0022-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v5/nvidia/flywheel_model.0.safetensors
junhua024-chai-19-full-0022-v5-mkmlizer: 
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Job junhua024-chai-19-full-0022-v5-mkmlizer completed after 365.45s with status: succeeded
Stopping job with name junhua024-chai-19-full-0022-v5-mkmlizer
Pipeline stage MKMLizer completed in 366.02s
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-19-full-0022-v5
Waiting for inference service junhua024-chai-19-full-0022-v5 to be ready
Inference service junhua024-chai-19-full-0022-v5 ready after 180.68658137321472s
Pipeline stage MKMLDeployer completed in 181.21s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.336432456970215s
Received healthy response to inference request in 2.8352556228637695s
Received healthy response to inference request in 4.132767915725708s
Received healthy response to inference request in 1.6124029159545898s
Received healthy response to inference request in 2.9668095111846924s
5 requests
0 failed requests
5th percentile: 1.8569734573364258
10th percentile: 2.101543998718262
20th percentile: 2.5906850814819338
30th percentile: 2.861566400527954
40th percentile: 2.914187955856323
50th percentile: 2.9668095111846924
60th percentile: 3.1146586894989015
70th percentile: 3.26250786781311
80th percentile: 3.495699548721314
90th percentile: 3.814233732223511
95th percentile: 3.973500823974609
99th percentile: 4.100914497375488
mean time: 2.976733684539795
Pipeline stage StressChecker completed in 16.40s
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 0.73s
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-19-full-0022_v5 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 3221.29s
Shutdown handler de-registered
junhua024-chai-19-full-0022_v5 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
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Running pipeline stage MKMLDeleter
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clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
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clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
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clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
admin requested tearing down of junhua024-chai-19-full-0022_v5
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLDeleter
%s, retrying in %s seconds...
%s, retrying in %s seconds...
clean up pipeline due to error=TeardownError("InferenceServiceAPI.__init__() missing 1 required positional argument: 'kube_config_file'")
Shutdown handler de-registered
junhua024-chai-19-full-0022_v5 status is now torndown due to DeploymentManager action