junhua024-chai-06-full-_88520

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_88520_v3
model_name: junhua024-chai-06-full-_88520_v3
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T11:37:13+00:00
num_battles: 6679
num_wins: 3380
celo_rating: 1280.97
family_friendly_score: 0.5546
family_friendly_standard_error: 0.007028781402206217
submission_type: basic
model_repo: junhua024/chai_06_full_02102_2529
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': 0.5877769840428525, 'latency_mean': 1.7012207424640655, 'latency_p50': 1.6924176216125488, 'latency_p90': 1.8622996807098389}, {'batch_size': 3, 'throughput': 1.0555442279983425, 'latency_mean': 2.8261934447288515, 'latency_p50': 2.836368680000305, 'latency_p90': 3.107960414886475}, {'batch_size': 5, 'throughput': 1.2571616622468003, 'latency_mean': 3.9475428092479707, 'latency_p50': 3.929566502571106, 'latency_p90': 4.469882082939148}, {'batch_size': 6, 'throughput': 1.3147990551869206, 'latency_mean': 4.524459241628647, 'latency_p50': 4.521965980529785, 'latency_p90': 5.020195722579956}, {'batch_size': 8, 'throughput': 1.3912591278986235, 'latency_mean': 5.723236148357391, 'latency_p50': 5.689892888069153, 'latency_p90': 6.521816968917847}, {'batch_size': 10, 'throughput': 1.4096555871001295, 'latency_mean': 7.026393294334412, 'latency_p50': 7.077669739723206, 'latency_p90': 7.882319068908691}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_88520_v3
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_2529
model_size: 13B
ranking_group: single
throughput_3p7s: 1.23
us_pacific_date: 2025-07-17
win_ratio: 0.5060637820032939
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-88520-v3-mkmlizer
Waiting for job on junhua024-chai-06-full-88520-v3-mkmlizer to finish
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junhua024-chai-06-full-88520-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-88520-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-88520-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-88520-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-88520-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-88520-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-88520-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-88520-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-88520-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-88520-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-88520-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-88520-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-88520-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-88520-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-88520-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-88520-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-88520-v3-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`
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-06-full-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-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-88520-v3-mkmlizer: Downloaded to shared memory in 87.319s
junhua024-chai-06-full-88520-v3-mkmlizer: Checking if junhua024/chai_06_full_02102_2529 already exists in ChaiML
junhua024-chai-06-full-88520-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvoll1nj0, device:0
junhua024-chai-06-full-88520-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-88520-v3-mkmlizer: quantized model in 32.770s
junhua024-chai-06-full-88520-v3-mkmlizer: Processed model junhua024/chai_06_full_02102_2529 in 120.180s
junhua024-chai-06-full-88520-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-88520-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-88520-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-88520-v3/nvidia
junhua024-chai-06-full-88520-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-88520-v3/nvidia/config.json
junhua024-chai-06-full-88520-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-88520-v3/nvidia/special_tokens_map.json
junhua024-chai-06-full-88520-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-88520-v3/nvidia/tokenizer_config.json
junhua024-chai-06-full-88520-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-88520-v3/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-88520-v3-mkmlizer completed after 141.35s with status: succeeded
Stopping job with name junhua024-chai-06-full-88520-v3-mkmlizer
Pipeline stage MKMLizer completed in 141.92s
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-88520-v3
Waiting for inference service junhua024-chai-06-full-88520-v3 to be ready
Inference service junhua024-chai-06-full-88520-v3 ready after 291.02954602241516s
Pipeline stage MKMLDeployer completed in 291.81s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.244251251220703s
Received healthy response to inference request in 1.5375781059265137s
Received healthy response to inference request in 2.088846206665039s
Received healthy response to inference request in 1.6295478343963623s
Received healthy response to inference request in 1.5064992904663086s
5 requests
0 failed requests
5th percentile: 1.5127150535583496
10th percentile: 1.5189308166503905
20th percentile: 1.5313623428344727
30th percentile: 1.5559720516204834
40th percentile: 1.592759943008423
50th percentile: 1.6295478343963623
60th percentile: 1.813267183303833
70th percentile: 1.9969865322113036
80th percentile: 2.1199272155761717
90th percentile: 2.1820892333984374
95th percentile: 2.2131702423095705
99th percentile: 2.2380350494384764
mean time: 1.8013445377349853
Pipeline stage StressChecker completed in 10.99s
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 0.88s
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-06-full-_88520_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.13s
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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-88520-v3-profiler
Waiting for inference service junhua024-chai-06-full-88520-v3-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 3018.53s
Shutdown handler de-registered
junhua024-chai-06-full-_88520_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_88520_v3 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_88520_v3 status is now torndown due to DeploymentManager action