junhua024-chai-06-full_30622

developer_uid: junhua024
submission_id: junhua024-chai-06-full_30622_v15
model_name: junhua024-chai-06-full_30622_v15
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T12:22:41+00:00
num_battles: 5632
num_wins: 2818
celo_rating: 1277.42
family_friendly_score: 0.5566
family_friendly_standard_error: 0.007025616556573523
submission_type: basic
model_repo: junhua024/chai_06_full_02102_1925
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': 0.588666835847695, 'latency_mean': 1.698564110994339, 'latency_p50': 1.6917526721954346, 'latency_p90': 1.8571460723876954}, {'batch_size': 3, 'throughput': 1.0656606042027914, 'latency_mean': 2.811404625177383, 'latency_p50': 2.8073185682296753, 'latency_p90': 3.0772754430770872}, {'batch_size': 5, 'throughput': 1.278175705313369, 'latency_mean': 3.8823926198482512, 'latency_p50': 3.8810428380966187, 'latency_p90': 4.266757321357727}, {'batch_size': 6, 'throughput': 1.3394278910167678, 'latency_mean': 4.458684495687485, 'latency_p50': 4.474146366119385, 'latency_p90': 5.048645305633545}, {'batch_size': 8, 'throughput': 1.4036602396225757, 'latency_mean': 5.664965903759002, 'latency_p50': 5.657151699066162, 'latency_p90': 6.339292287826538}, {'batch_size': 10, 'throughput': 1.4346247833748316, 'latency_mean': 6.917299534082413, 'latency_p50': 6.844101786613464, 'latency_p90': 7.895274448394775}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full_30622_v15
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1925
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-18
win_ratio: 0.5003551136363636
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-30622-v15-mkmlizer
Waiting for job on junhua024-chai-06-full-30622-v15-mkmlizer to finish
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junhua024-chai-06-full-30622-v15-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-30622-v15-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-30622-v15-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v15-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-30622-v15-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-30622-v15-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-30622-v15-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-30622-v15-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v15-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-30622-v15-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-30622-v15-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v15-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-30622-v15-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-30622-v15-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-30622-v15-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v15-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-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-30622-v15-mkmlizer: Downloaded to shared memory in 86.628s
junhua024-chai-06-full-30622-v15-mkmlizer: Checking if junhua024/chai_06_full_02102_1925 already exists in ChaiML
junhua024-chai-06-full-30622-v15-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2hkyv906, device:0
junhua024-chai-06-full-30622-v15-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-30622-v15-mkmlizer: quantized model in 38.979s
junhua024-chai-06-full-30622-v15-mkmlizer: Processed model junhua024/chai_06_full_02102_1925 in 125.690s
junhua024-chai-06-full-30622-v15-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-30622-v15-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-30622-v15-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v15/nvidia
junhua024-chai-06-full-30622-v15-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v15/nvidia/config.json
junhua024-chai-06-full-30622-v15-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v15/nvidia/special_tokens_map.json
junhua024-chai-06-full-30622-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v15/nvidia/tokenizer_config.json
junhua024-chai-06-full-30622-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v15/nvidia/tokenizer.json
junhua024-chai-06-full-30622-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v15/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-30622-v15-mkmlizer: 
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Job junhua024-chai-06-full-30622-v15-mkmlizer completed after 150.09s with status: succeeded
Stopping job with name junhua024-chai-06-full-30622-v15-mkmlizer
Pipeline stage MKMLizer completed in 150.78s
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-30622-v15
Waiting for inference service junhua024-chai-06-full-30622-v15 to be ready
Failed to get response for submission zmeeks-capitanito-54-2800_v10: HTTPConnectionPool(host='zmeeks-capitanito-54-2800-v10-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission zmeeks-capitanito-54-2800_v10: HTTPConnectionPool(host='zmeeks-capitanito-54-2800-v10-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-30622-v15 ready after 332.4678039550781s
Pipeline stage MKMLDeployer completed in 333.06s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4358150959014893s
Received healthy response to inference request in 2.1189420223236084s
Received healthy response to inference request in 1.8329060077667236s
Received healthy response to inference request in 1.752410650253296s
Received healthy response to inference request in 1.6186151504516602s
5 requests
0 failed requests
5th percentile: 1.6453742504119873
10th percentile: 1.6721333503723144
20th percentile: 1.7256515502929688
30th percentile: 1.7685097217559815
40th percentile: 1.8007078647613526
50th percentile: 1.8329060077667236
60th percentile: 1.9473204135894775
70th percentile: 2.0617348194122314
80th percentile: 2.1823166370391847
90th percentile: 2.3090658664703367
95th percentile: 2.372440481185913
99th percentile: 2.423140172958374
mean time: 1.9517377853393554
Pipeline stage StressChecker completed in 11.41s
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 1.16s
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 0.99s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v15 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 2924.95s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v15 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full_30622_v15 status is now torndown due to DeploymentManager action
junhua024-chai-06-full_30622_v15 status is now torndown due to DeploymentManager action