junhua024-chai-06-full_30622

developer_uid: junhua024
submission_id: junhua024-chai-06-full_30622_v19
model_name: junhua024-chai-06-full_30622_v19
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-18T15:59:12+00:00
num_battles: 6553
num_wins: 3219
celo_rating: 1290.65
family_friendly_score: 0.5546
family_friendly_standard_error: 0.007028781402206217
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': 0.593608785898697, 'latency_mean': 1.6845036768913269, 'latency_p50': 1.6890312433242798, 'latency_p90': 1.8551005840301513}, {'batch_size': 3, 'throughput': 1.0785244646377499, 'latency_mean': 2.776179537773132, 'latency_p50': 2.7817124128341675, 'latency_p90': 3.0568734407424927}, {'batch_size': 5, 'throughput': 1.2833046072720973, 'latency_mean': 3.876555949449539, 'latency_p50': 3.890138268470764, 'latency_p90': 4.356238508224488}, {'batch_size': 6, 'throughput': 1.353834169103413, 'latency_mean': 4.411467657089234, 'latency_p50': 4.427639603614807, 'latency_p90': 4.969834232330323}, {'batch_size': 8, 'throughput': 1.4229961578088648, 'latency_mean': 5.571625295877457, 'latency_p50': 5.57630729675293, 'latency_p90': 6.280767130851745}, {'batch_size': 10, 'throughput': 1.4573033669431152, 'latency_mean': 6.809501110315323, 'latency_p50': 6.850206613540649, 'latency_p90': 7.597198414802551}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full_30622_v19
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: 0.491225392949794
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-v19-mkmlizer
Waiting for job on junhua024-chai-06-full-30622-v19-mkmlizer to finish
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junhua024-chai-06-full-30622-v19-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-30622-v19-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-30622-v19-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v19-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-30622-v19-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-30622-v19-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-30622-v19-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-30622-v19-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v19-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-30622-v19-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-30622-v19-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v19-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-30622-v19-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-30622-v19-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-30622-v19-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v19-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-30622-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-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-v19-mkmlizer: Downloaded to shared memory in 90.661s
junhua024-chai-06-full-30622-v19-mkmlizer: Checking if junhua024/chai_06_full_02102_1925 already exists in ChaiML
junhua024-chai-06-full-30622-v19-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4zh2n1yx, device:0
junhua024-chai-06-full-30622-v19-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-30622-v19-mkmlizer: quantized model in 39.167s
junhua024-chai-06-full-30622-v19-mkmlizer: Processed model junhua024/chai_06_full_02102_1925 in 129.911s
junhua024-chai-06-full-30622-v19-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-30622-v19-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-30622-v19-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v19/nvidia
junhua024-chai-06-full-30622-v19-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v19/nvidia/special_tokens_map.json
junhua024-chai-06-full-30622-v19-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v19/nvidia/config.json
junhua024-chai-06-full-30622-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v19/nvidia/tokenizer_config.json
junhua024-chai-06-full-30622-v19-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v19/nvidia/tokenizer.json
junhua024-chai-06-full-30622-v19-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v19/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-30622-v19-mkmlizer: 
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Job junhua024-chai-06-full-30622-v19-mkmlizer completed after 163.97s with status: succeeded
Stopping job with name junhua024-chai-06-full-30622-v19-mkmlizer
Pipeline stage MKMLizer completed in 164.49s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.21s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-30622-v19
Waiting for inference service junhua024-chai-06-full-30622-v19 to be ready
Failed to get response for submission chaiml-pieck-pieck-fing_26592_v1: HTTPConnectionPool(host='chaiml-pieck-pieck-fing-26592-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-isaac-brown-sylu_53639_v2: HTTPConnectionPool(host='chaiml-isaac-brown-sylu-53639-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-isaac-brown-sylu_53639_v2: HTTPConnectionPool(host='chaiml-isaac-brown-sylu-53639-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-pieck-pieck-fing_26592_v1: HTTPConnectionPool(host='chaiml-pieck-pieck-fing-26592-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-30622-v19 ready after 321.4074206352234s
Pipeline stage MKMLDeployer completed in 321.98s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3367655277252197s
Received healthy response to inference request in 1.6721322536468506s
Received healthy response to inference request in 1.6564276218414307s
Received healthy response to inference request in 1.7132325172424316s
Received healthy response to inference request in 1.8503766059875488s
5 requests
0 failed requests
5th percentile: 1.6595685482025146
10th percentile: 1.6627094745635986
20th percentile: 1.6689913272857666
30th percentile: 1.6803523063659669
40th percentile: 1.6967924118041993
50th percentile: 1.7132325172424316
60th percentile: 1.7680901527404784
70th percentile: 1.8229477882385254
80th percentile: 1.9476543903350831
90th percentile: 2.1422099590301515
95th percentile: 2.2394877433776856
99th percentile: 2.317309970855713
mean time: 1.8457869052886964
Pipeline stage StressChecker completed in 10.91s
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 1.04s
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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 0.68s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v19 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
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-30622-v19-profiler
Waiting for inference service junhua024-chai-06-full-30622-v19-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 3228.59s
Shutdown handler de-registered
junhua024-chai-06-full_30622_v19 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full_30622_v19 status is now torndown due to DeploymentManager action
junhua024-chai-06-full_30622_v19 status is now torndown due to DeploymentManager action