junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v23
model_name: junhua024-chai-02-full_54657_v23
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T19:14:33+00:00
num_battles: 7922
num_wins: 4122
celo_rating: 1298.97
family_friendly_score: 0.41859999999999997
family_friendly_standard_error: 0.006976733333014814
submission_type: basic
model_repo: junhua024/chai_02_full_02_019
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5264420405943159, 'latency_mean': 1.8994144582748413, 'latency_p50': 1.9038687944412231, 'latency_p90': 2.0585572719573975}, {'batch_size': 2, 'throughput': 0.7034760162070602, 'latency_mean': 2.838285275697708, 'latency_p50': 2.8181124925613403, 'latency_p90': 3.0606305599212646}, {'batch_size': 3, 'throughput': 0.7966705883292814, 'latency_mean': 3.7576344871520995, 'latency_p50': 3.746664881706238, 'latency_p90': 4.152613425254822}, {'batch_size': 4, 'throughput': 0.8504810708547954, 'latency_mean': 4.691693161725998, 'latency_p50': 4.726888656616211, 'latency_p90': 5.2777753353118895}, {'batch_size': 5, 'throughput': 0.8804319382417016, 'latency_mean': 5.651724269390106, 'latency_p50': 5.660692572593689, 'latency_p90': 6.3399121999740595}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v23
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.79
us_pacific_date: 2025-07-24
win_ratio: 0.5203231507195153
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{memory} You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity. Each of your responses should be fewer tha\u202f64\u202ftokens long.", '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-02-full-54657-v23-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v23-mkmlizer to finish
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junhua024-chai-02-full-54657-v23-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v23-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v23-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v23-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v23-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v23-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v23-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v23-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v23-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v23-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v23-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v23-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v23-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v23-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v23-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v23-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-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-02-full-54657-v23-mkmlizer: Downloaded to shared memory in 76.685s
junhua024-chai-02-full-54657-v23-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v23-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpg7sd0801, device:0
junhua024-chai-02-full-54657-v23-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission junhua024-chai-02-full_54657_v22: HTTPConnectionPool(host='junhua024-chai-02-full-54657-v22-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-02-full-54657-v23-mkmlizer: quantized model in 164.290s
junhua024-chai-02-full-54657-v23-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 241.057s
junhua024-chai-02-full-54657-v23-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v23-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v23-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v23/nvidia
junhua024-chai-02-full-54657-v23-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v23/nvidia/config.json
junhua024-chai-02-full-54657-v23-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v23/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v23/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v23/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v23-mkmlizer: 
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Job junhua024-chai-02-full-54657-v23-mkmlizer completed after 266.44s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v23-mkmlizer
Pipeline stage MKMLizer completed in 267.11s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.49s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-54657-v23
Waiting for inference service junhua024-chai-02-full-54657-v23 to be ready
Unable to record family friendly update due to error: Invalid JSON input: JSON must contain 'User Safety' and 'Response Safety' fields
Inference service junhua024-chai-02-full-54657-v23 ready after 180.80290842056274s
Pipeline stage MKMLDeployer completed in 181.35s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.380286931991577s
Received healthy response to inference request in 1.5703866481781006s
Received healthy response to inference request in 1.7905030250549316s
Received healthy response to inference request in 2.3181991577148438s
Received healthy response to inference request in 1.5796325206756592s
5 requests
0 failed requests
5th percentile: 1.5722358226776123
10th percentile: 1.574084997177124
20th percentile: 1.5777833461761475
30th percentile: 1.6218066215515137
40th percentile: 1.7061548233032227
50th percentile: 1.7905030250549316
60th percentile: 2.0015814781188963
70th percentile: 2.2126599311828614
80th percentile: 2.5306167125701906
90th percentile: 2.955451822280884
95th percentile: 3.1678693771362303
99th percentile: 3.337803421020508
mean time: 2.1278016567230225
Pipeline stage StressChecker completed in 12.00s
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 0.69s
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 1.33s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v23 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5582.14s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v23 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v23 status is now torndown due to DeploymentManager action