junhua024-chai-06-full-_75415

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_75415_v6
model_name: junhua024-chai-06-full-_75415_v6
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T20:28:02+00:00
num_battles: 5724
num_wins: 2766
celo_rating: 1277.04
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: junhua024/chai_06_full_02102_20241
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': 0.5979281743653149, 'latency_mean': 1.672328530550003, 'latency_p50': 1.665871262550354, 'latency_p90': 1.843137526512146}, {'batch_size': 3, 'throughput': 1.0884868521363051, 'latency_mean': 2.7458597576618193, 'latency_p50': 2.749297618865967, 'latency_p90': 3.0327540397644044}, {'batch_size': 5, 'throughput': 1.298724224124022, 'latency_mean': 3.8317236983776093, 'latency_p50': 3.8155288696289062, 'latency_p90': 4.312128257751465}, {'batch_size': 6, 'throughput': 1.3703090069673676, 'latency_mean': 4.360558871030808, 'latency_p50': 4.336303234100342, 'latency_p90': 4.949091529846191}, {'batch_size': 8, 'throughput': 1.4396461031089736, 'latency_mean': 5.5272917664051056, 'latency_p50': 5.529712677001953, 'latency_p90': 6.244169044494629}, {'batch_size': 10, 'throughput': 1.4634414348143523, 'latency_mean': 6.776061369180679, 'latency_p50': 6.792210102081299, 'latency_p90': 7.662591981887817}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_75415_v6
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_20241
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-17
win_ratio: 0.4832285115303983
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-75415-v6-mkmlizer
Waiting for job on junhua024-chai-06-full-75415-v6-mkmlizer to finish
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junhua024-chai-06-full-75415-v6-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-75415-v6-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-75415-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v6-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-75415-v6-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-75415-v6-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-75415-v6-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-75415-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-75415-v6-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-75415-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v6-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-75415-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-75415-v6-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-75415-v6-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-75415-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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`
Failed to get response for submission zmeeks-capitanito-54-3000_v4: HTTPConnectionPool(host='zmeeks-capitanito-54-3000-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x718a56694310>, 'Connection to zmeeks-capitanito-54-3000-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
junhua024-chai-06-full-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-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-75415-v6-mkmlizer: Downloaded to shared memory in 78.549s
junhua024-chai-06-full-75415-v6-mkmlizer: Checking if junhua024/chai_06_full_02102_20241 already exists in ChaiML
junhua024-chai-06-full-75415-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpq0ghgk7k, device:0
junhua024-chai-06-full-75415-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-75415-v6-mkmlizer: quantized model in 32.069s
junhua024-chai-06-full-75415-v6-mkmlizer: Processed model junhua024/chai_06_full_02102_20241 in 110.696s
junhua024-chai-06-full-75415-v6-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-75415-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-75415-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v6/nvidia
junhua024-chai-06-full-75415-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v6/nvidia/config.json
junhua024-chai-06-full-75415-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v6/nvidia/special_tokens_map.json
junhua024-chai-06-full-75415-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v6/nvidia/tokenizer_config.json
junhua024-chai-06-full-75415-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v6/nvidia/tokenizer.json
junhua024-chai-06-full-75415-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-75415-v6/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-75415-v6-mkmlizer: 
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Job junhua024-chai-06-full-75415-v6-mkmlizer completed after 140.02s with status: succeeded
Stopping job with name junhua024-chai-06-full-75415-v6-mkmlizer
Pipeline stage MKMLizer completed in 140.66s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-75415-v6
Waiting for inference service junhua024-chai-06-full-75415-v6 to be ready
Inference service junhua024-chai-06-full-75415-v6 ready after 311.87636637687683s
Pipeline stage MKMLDeployer completed in 312.69s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.266195297241211s
Received healthy response to inference request in 1.9276838302612305s
Received healthy response to inference request in 1.8264422416687012s
Received healthy response to inference request in 2.0934700965881348s
Received healthy response to inference request in 1.638286828994751s
5 requests
0 failed requests
5th percentile: 1.675917911529541
10th percentile: 1.7135489940643311
20th percentile: 1.788811159133911
30th percentile: 1.846690559387207
40th percentile: 1.8871871948242187
50th percentile: 1.9276838302612305
60th percentile: 1.9939983367919922
70th percentile: 2.060312843322754
80th percentile: 2.12801513671875
90th percentile: 2.1971052169799803
95th percentile: 2.2316502571105956
99th percentile: 2.259286289215088
mean time: 1.9504156589508057
Pipeline stage StressChecker completed in 11.13s
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 0.91s
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 0.74s
Shutdown handler de-registered
junhua024-chai-06-full-_75415_v6 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
%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
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
junhua024-chai-06-full-_75415_v6 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_75415_v6 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_75415_v6 status is now torndown due to DeploymentManager action