junhua024-chai-06-full-_28726

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_28726_v3
model_name: junhua024-chai-06-full-_28726_v3
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T15:53:52+00:00
num_battles: 6228
num_wins: 3140
celo_rating: 1267.43
family_friendly_score: 0.5554
family_friendly_standard_error: 0.007027529295563271
submission_type: basic
model_repo: junhua024/chai_06_full_02102_2124
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': 0.5970158456946998, 'latency_mean': 1.674859449863434, 'latency_p50': 1.6784417629241943, 'latency_p90': 1.8481688499450684}, {'batch_size': 3, 'throughput': 1.0949697706345045, 'latency_mean': 2.7324755859375, 'latency_p50': 2.7439866065979004, 'latency_p90': 3.0260494470596315}, {'batch_size': 5, 'throughput': 1.2949544175970291, 'latency_mean': 3.8458384120464326, 'latency_p50': 3.860812544822693, 'latency_p90': 4.233947110176087}, {'batch_size': 6, 'throughput': 1.3851288010453866, 'latency_mean': 4.310540996789932, 'latency_p50': 4.302205204963684, 'latency_p90': 4.837111949920654}, {'batch_size': 8, 'throughput': 1.4565744437973622, 'latency_mean': 5.4582894575595855, 'latency_p50': 5.486027956008911, 'latency_p90': 6.140443897247314}, {'batch_size': 10, 'throughput': 1.4573247676088135, 'latency_mean': 6.804416633844376, 'latency_p50': 6.762181520462036, 'latency_p90': 7.708756589889526}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_28726_v3
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_2124
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-17
win_ratio: 0.50417469492614
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-28726-v3-mkmlizer
Waiting for job on junhua024-chai-06-full-28726-v3-mkmlizer to finish
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junhua024-chai-06-full-28726-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-28726-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-28726-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-28726-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-28726-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-28726-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-28726-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-28726-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-28726-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-28726-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-28726-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-28726-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-28726-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-28726-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-28726-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-28726-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-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-28726-v3-mkmlizer: Downloaded to shared memory in 80.619s
junhua024-chai-06-full-28726-v3-mkmlizer: Checking if junhua024/chai_06_full_02102_2124 already exists in ChaiML
junhua024-chai-06-full-28726-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfdj7fqtg, device:0
junhua024-chai-06-full-28726-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-28726-v3-mkmlizer: quantized model in 32.164s
junhua024-chai-06-full-28726-v3-mkmlizer: Processed model junhua024/chai_06_full_02102_2124 in 112.867s
junhua024-chai-06-full-28726-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-28726-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-28726-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-28726-v3/nvidia
junhua024-chai-06-full-28726-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-28726-v3/nvidia/config.json
junhua024-chai-06-full-28726-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-28726-v3/nvidia/special_tokens_map.json
junhua024-chai-06-full-28726-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-28726-v3/nvidia/tokenizer_config.json
junhua024-chai-06-full-28726-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-28726-v3/nvidia/tokenizer.json
junhua024-chai-06-full-28726-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-28726-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-28726-v3-mkmlizer: 
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Job junhua024-chai-06-full-28726-v3-mkmlizer completed after 139.03s with status: succeeded
Stopping job with name junhua024-chai-06-full-28726-v3-mkmlizer
Pipeline stage MKMLizer completed in 139.61s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-28726-v3
Waiting for inference service junhua024-chai-06-full-28726-v3 to be ready
Failed to get response for submission zmeeks-capitanito-53_v13: HTTPConnectionPool(host='zmeeks-capitanito-53-v13-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-53_v13: HTTPConnectionPool(host='zmeeks-capitanito-53-v13-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-53_v13: HTTPConnectionPool(host='zmeeks-capitanito-53-v13-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-28726-v3 ready after 291.37709760665894s
Pipeline stage MKMLDeployer completed in 292.00s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9398996829986572s
Received healthy response to inference request in 1.555969476699829s
Received healthy response to inference request in 1.6749918460845947s
Received healthy response to inference request in 1.5837960243225098s
Received healthy response to inference request in 1.8660881519317627s
5 requests
0 failed requests
5th percentile: 1.5615347862243651
10th percentile: 1.5671000957489014
20th percentile: 1.5782307147979737
30th percentile: 1.6020351886749267
40th percentile: 1.6385135173797607
50th percentile: 1.6749918460845947
60th percentile: 1.751430368423462
70th percentile: 1.827868890762329
80th percentile: 2.0808504581451417
90th percentile: 2.5103750705718997
95th percentile: 2.7251373767852782
99th percentile: 2.8969472217559815
mean time: 1.9241490364074707
Pipeline stage StressChecker completed in 11.31s
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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
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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 0.77s
Shutdown handler de-registered
junhua024-chai-06-full-_28726_v3 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 0.22s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-28726-v3-profiler
Waiting for inference service junhua024-chai-06-full-28726-v3-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3006.72s
Shutdown handler de-registered
junhua024-chai-06-full-_28726_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_28726_v3 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_28726_v3 status is now torndown due to DeploymentManager action