junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v10
model_name: junhua024-chai-02-full_54657_v10
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T06:06:22+00:00
num_battles: 7861
num_wins: 3993
celo_rating: 1290.13
family_friendly_score: 0.4184
family_friendly_standard_error: 0.006976266049972578
submission_type: basic
model_repo: junhua024/chai_02_full_02_019
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 5
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5483300936223946, 'latency_mean': 1.823542630672455, 'latency_p50': 1.8282859325408936, 'latency_p90': 1.9671667098999024}, {'batch_size': 3, 'throughput': 0.8781047510765553, 'latency_mean': 3.4116419982910156, 'latency_p50': 3.401581645011902, 'latency_p90': 3.7255002975463865}, {'batch_size': 5, 'throughput': 0.9902609628262532, 'latency_mean': 5.032923738956452, 'latency_p50': 4.994645833969116, 'latency_p90': 5.6731772184371945}, {'batch_size': 6, 'throughput': 1.0241058371878444, 'latency_mean': 5.841349687576294, 'latency_p50': 5.834473729133606, 'latency_p90': 6.547856426239013}, {'batch_size': 10, 'throughput': 1.0699502667473417, 'latency_mean': 9.27237385392189, 'latency_p50': 9.280538439750671, 'latency_p90': 10.387052059173584}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v10
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.91
us_pacific_date: 2025-07-23
win_ratio: 0.5079506424119069
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 15, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 5, '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-02-full-54657-v10-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v10-mkmlizer to finish
junhua024-chai-02-full-54657-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-02-full-54657-v10-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v10-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v10-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v10-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v10-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v10-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v10-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v10-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v10-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v10-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v10-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v10-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v10-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v10-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v10-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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-v10-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
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-02-full-54657-v10-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-v10-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-v10-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-v10-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-v10-mkmlizer: Downloaded to shared memory in 77.599s
junhua024-chai-02-full-54657-v10-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v10-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpna0ukjm3, device:0
junhua024-chai-02-full-54657-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-54657-v10-mkmlizer: quantized model in 165.541s
junhua024-chai-02-full-54657-v10-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 243.217s
junhua024-chai-02-full-54657-v10-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v10/nvidia
junhua024-chai-02-full-54657-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v10/nvidia/config.json
junhua024-chai-02-full-54657-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v10/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v10/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v10/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v10/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-54657-v10-mkmlizer completed after 273.01s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v10-mkmlizer
Pipeline stage MKMLizer completed in 273.61s
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-02-full-54657-v10
Waiting for inference service junhua024-chai-02-full-54657-v10 to be ready
Inference service junhua024-chai-02-full-54657-v10 ready after 171.26262545585632s
Pipeline stage MKMLDeployer completed in 171.85s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.117319107055664s
Received healthy response to inference request in 1.993420124053955s
Received healthy response to inference request in 1.3143844604492188s
Received healthy response to inference request in 1.5398380756378174s
Received healthy response to inference request in 1.4463419914245605s
5 requests
0 failed requests
5th percentile: 1.340775966644287
10th percentile: 1.3671674728393555
20th percentile: 1.4199504852294922
30th percentile: 1.465041208267212
40th percentile: 1.5024396419525146
50th percentile: 1.5398380756378174
60th percentile: 1.7212708950042723
70th percentile: 1.9027037143707275
80th percentile: 2.018199920654297
90th percentile: 2.0677595138549805
95th percentile: 2.0925393104553223
99th percentile: 2.1123631477355955
mean time: 1.6822607517242432
Pipeline stage StressChecker completed in 10.02s
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 0.73s
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 0.71s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v10 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5889.83s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v10 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v10 status is now torndown due to DeploymentManager action