junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v17
model_name: junhua024-chai-02-full_54657_v17
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T10:55:04+00:00
num_battles: 6443
num_wins: 3219
celo_rating: 1285.86
family_friendly_score: 0.4024
family_friendly_standard_error: 0.006935044916941779
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: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.667766917341211, 'latency_mean': 1.4973983824253083, 'latency_p50': 1.4981696605682373, 'latency_p90': 1.63842453956604}, {'batch_size': 3, 'throughput': 1.1599887042878516, 'latency_mean': 2.5822414708137513, 'latency_p50': 2.5725014209747314, 'latency_p90': 2.828791117668152}, {'batch_size': 5, 'throughput': 1.3350995052439745, 'latency_mean': 3.722690578699112, 'latency_p50': 3.725618839263916, 'latency_p90': 4.1251057386398315}, {'batch_size': 6, 'throughput': 1.3858269096439453, 'latency_mean': 4.294582287073135, 'latency_p50': 4.31188702583313, 'latency_p90': 4.797606420516968}, {'batch_size': 8, 'throughput': 1.4388139604003085, 'latency_mean': 5.53062596321106, 'latency_p50': 5.538345694541931, 'latency_p90': 6.186425280570984}, {'batch_size': 10, 'throughput': 1.4882425526407863, 'latency_mean': 6.665235650539398, 'latency_p50': 6.659596800804138, 'latency_p90': 7.4718612909317015}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v17
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-07-24
win_ratio: 0.4996119819959646
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 60, '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': "{memory} You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity.", '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-v17-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v17-mkmlizer to finish
junhua024-chai-02-full-54657-v17-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-54657-v17-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v17-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v17-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v17-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v17-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v17-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v17-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v17-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v17-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v17-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v17-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v17-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v17-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v17-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v17-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v17-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-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-v17-mkmlizer: Downloaded to shared memory in 76.048s
junhua024-chai-02-full-54657-v17-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v17-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp3tfj5f1j, device:0
junhua024-chai-02-full-54657-v17-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-54657-v17-mkmlizer: quantized model in 160.905s
junhua024-chai-02-full-54657-v17-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 237.037s
junhua024-chai-02-full-54657-v17-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v17-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v17-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v17/nvidia
junhua024-chai-02-full-54657-v17-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v17/nvidia/config.json
junhua024-chai-02-full-54657-v17-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v17/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v17/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v17/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v17/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-54657-v17-mkmlizer: 
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Job junhua024-chai-02-full-54657-v17-mkmlizer completed after 263.86s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v17-mkmlizer
Pipeline stage MKMLizer completed in 265.81s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.68s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-54657-v17
Waiting for inference service junhua024-chai-02-full-54657-v17 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-v17 ready after 180.63462829589844s
Pipeline stage MKMLDeployer completed in 181.65s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2073111534118652s
Received healthy response to inference request in 1.3579328060150146s
Received healthy response to inference request in 2.172684907913208s
Received healthy response to inference request in 3.241990327835083s
Received healthy response to inference request in 1.7943694591522217s
5 requests
0 failed requests
5th percentile: 1.445220136642456
10th percentile: 1.5325074672698975
20th percentile: 1.7070821285247804
30th percentile: 1.870032548904419
40th percentile: 2.0213587284088135
50th percentile: 2.172684907913208
60th percentile: 2.1865354061126707
70th percentile: 2.200385904312134
80th percentile: 2.414246988296509
90th percentile: 2.828118658065796
95th percentile: 3.0350544929504393
99th percentile: 3.2006031608581544
mean time: 2.1548577308654786
Pipeline stage StressChecker completed in 12.68s
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 0.74s
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 0.75s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v17 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-02-full-54657-v17-profiler
Waiting for inference service junhua024-chai-02-full-54657-v17-profiler to be ready
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 3212.18s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v17 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v17 status is now torndown due to DeploymentManager action