junhua024-chai-02-full-061

developer_uid: junhua024
submission_id: junhua024-chai-02-full-061_v1
model_name: junhua024-chai-02-full-061_v1
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-16T13:10:19+00:00
num_battles: 7742
num_wins: 3866
celo_rating: 1274.63
family_friendly_score: 0.5606
family_friendly_standard_error: 0.007018940660812
submission_type: basic
model_repo: junhua024/chai_02_full_061
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': 0.6042504966097546, 'latency_mean': 1.6548406827449798, 'latency_p50': 1.6542731523513794, 'latency_p90': 1.8280969858169556}, {'batch_size': 3, 'throughput': 1.0774633084828122, 'latency_mean': 2.77256933093071, 'latency_p50': 2.7684725522994995, 'latency_p90': 3.084251570701599}, {'batch_size': 5, 'throughput': 1.3070223581864604, 'latency_mean': 3.8119992530345916, 'latency_p50': 3.811772108078003, 'latency_p90': 4.1931504011154175}, {'batch_size': 6, 'throughput': 1.3791732810903707, 'latency_mean': 4.318964629173279, 'latency_p50': 4.328031659126282, 'latency_p90': 4.801978588104248}, {'batch_size': 8, 'throughput': 1.4329790621145437, 'latency_mean': 5.533509474992752, 'latency_p50': 5.558136343955994, 'latency_p90': 6.293229556083679}, {'batch_size': 10, 'throughput': 1.4560072058315603, 'latency_mean': 6.802280666828156, 'latency_p50': 6.813680052757263, 'latency_p90': 7.723926997184753}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-061_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_061
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-16
win_ratio: 0.49935417204856625
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-02-full-061-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-061-v1-mkmlizer to finish
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junhua024-chai-02-full-061-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-061-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-061-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-061-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-061-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-061-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-061-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-061-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-061-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-061-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-061-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-061-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-061-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-061-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-061-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-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-061-v1-mkmlizer: Downloaded to shared memory in 128.330s
junhua024-chai-02-full-061-v1-mkmlizer: Checking if junhua024/chai_02_full_061 already exists in ChaiML
junhua024-chai-02-full-061-v1-mkmlizer: Creating repo ChaiML/chai_02_full_061 and uploading /tmp/tmp763w3p4r to it
junhua024-chai-02-full-061-v1-mkmlizer: 
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junhua024-chai-02-full-061-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp763w3p4r, device:0
junhua024-chai-02-full-061-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-061-v1-mkmlizer: quantized model in 31.620s
junhua024-chai-02-full-061-v1-mkmlizer: Processed model junhua024/chai_02_full_061 in 250.114s
junhua024-chai-02-full-061-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-061-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-061-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-061-v1/nvidia
junhua024-chai-02-full-061-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-061-v1/nvidia/config.json
junhua024-chai-02-full-061-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-061-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-061-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-061-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-061-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-061-v1/nvidia/tokenizer.json
junhua024-chai-02-full-061-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-061-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-061-v1-mkmlizer: 
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Job junhua024-chai-02-full-061-v1-mkmlizer completed after 273.09s with status: succeeded
Stopping job with name junhua024-chai-02-full-061-v1-mkmlizer
Pipeline stage MKMLizer completed in 273.71s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-061-v1
Waiting for inference service junhua024-chai-02-full-061-v1 to be ready
Inference service junhua024-chai-02-full-061-v1 ready after 261.1536512374878s
Pipeline stage MKMLDeployer completed in 261.70s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2036545276641846s
Received healthy response to inference request in 1.7833359241485596s
Received healthy response to inference request in 1.5958514213562012s
Received healthy response to inference request in 1.7354819774627686s
Received healthy response to inference request in 2.0450050830841064s
5 requests
0 failed requests
5th percentile: 1.6237775325775146
10th percentile: 1.6517036437988282
20th percentile: 1.7075558662414552
30th percentile: 1.7450527667999267
40th percentile: 1.7641943454742433
50th percentile: 1.7833359241485596
60th percentile: 1.8880035877227783
70th percentile: 1.992671251296997
80th percentile: 2.0767349720001222
90th percentile: 2.1401947498321534
95th percentile: 2.1719246387481688
99th percentile: 2.1973085498809812
mean time: 1.872665786743164
Pipeline stage StressChecker completed in 10.89s
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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 0.95s
Shutdown handler de-registered
junhua024-chai-02-full-061_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5036.17s
Shutdown handler de-registered
junhua024-chai-02-full-061_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-061_v1 status is now torndown due to DeploymentManager action
junhua024-chai-02-full-061_v1 status is now torndown due to DeploymentManager action