junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v14
model_name: junhua024-chai-02-full_54657_v14
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T08:46:27+00:00
num_battles: 7155
num_wins: 3573
celo_rating: 1284.34
family_friendly_score: 0.4256
family_friendly_standard_error: 0.006992347817435857
submission_type: basic
model_repo: junhua024/chai_02_full_02_019
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5272383904443352, 'latency_mean': 1.8965491914749146, 'latency_p50': 1.9040682315826416, 'latency_p90': 2.0634786605834963}, {'batch_size': 2, 'throughput': 0.6992337820094993, 'latency_mean': 2.859876650571823, 'latency_p50': 2.8744595050811768, 'latency_p90': 3.081218934059143}, {'batch_size': 3, 'throughput': 0.7938050733681725, 'latency_mean': 3.7743860483169556, 'latency_p50': 3.7700496912002563, 'latency_p90': 4.082509708404541}, {'batch_size': 4, 'throughput': 0.850318980917626, 'latency_mean': 4.694495948553086, 'latency_p50': 4.6864800453186035, 'latency_p90': 5.281287050247192}, {'batch_size': 5, 'throughput': 0.8745656201036528, 'latency_mean': 5.694912301301956, 'latency_p50': 5.701866149902344, 'latency_p90': 6.435847425460815}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v14
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.79
us_pacific_date: 2025-07-24
win_ratio: 0.49937106918238994
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '{memory} in a highly family‑friendly manner.', '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-v14-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v14-mkmlizer to finish
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junhua024-chai-02-full-54657-v14-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v14-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v14-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v14-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v14-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v14-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v14-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v14-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v14-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v14-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v14-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v14-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v14-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v14-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v14-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v14-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-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-v14-mkmlizer: Downloaded to shared memory in 79.526s
junhua024-chai-02-full-54657-v14-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v14-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpj8r6_rfq, device:0
junhua024-chai-02-full-54657-v14-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-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 0x7a51e6421190>, 'Connection to chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
junhua024-chai-02-full-54657-v14-mkmlizer: quantized model in 164.388s
junhua024-chai-02-full-54657-v14-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 244.015s
junhua024-chai-02-full-54657-v14-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v14-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v14/nvidia/config.json
junhua024-chai-02-full-54657-v14-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v14/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v14/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v14/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v14-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v14/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-54657-v14-mkmlizer: 
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Job junhua024-chai-02-full-54657-v14-mkmlizer completed after 274.1s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v14-mkmlizer
Pipeline stage MKMLizer completed in 274.63s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-54657-v14
Waiting for inference service junhua024-chai-02-full-54657-v14 to be ready
Inference service junhua024-chai-02-full-54657-v14 ready after 170.59096121788025s
Pipeline stage MKMLDeployer completed in 171.09s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.1632158756256104s
Received healthy response to inference request in 1.8194050788879395s
Received healthy response to inference request in 2.5226147174835205s
Received healthy response to inference request in 2.1396446228027344s
5 requests
1 failed requests
5th percentile: 1.8834529876708985
10th percentile: 1.9475008964538574
20th percentile: 2.0755967140197753
30th percentile: 2.1443588733673096
40th percentile: 2.15378737449646
50th percentile: 2.1632158756256104
60th percentile: 2.3069754123687742
70th percentile: 2.4507349491119386
80th percentile: 6.047911882400516
90th percentile: 13.098506212234499
95th percentile: 16.623803377151486
99th percentile: 19.44404110908508
mean time: 5.758796167373657
%s, retrying in %s seconds...
Received healthy response to inference request in 2.065706491470337s
Received healthy response to inference request in 1.71950101852417s
Received healthy response to inference request in 3.301077365875244s
Received healthy response to inference request in 1.3784899711608887s
Received healthy response to inference request in 2.1003432273864746s
5 requests
0 failed requests
5th percentile: 1.4466921806335449
10th percentile: 1.514894390106201
20th percentile: 1.6512988090515137
30th percentile: 1.7887421131134034
40th percentile: 1.92722430229187
50th percentile: 2.065706491470337
60th percentile: 2.079561185836792
70th percentile: 2.093415880203247
80th percentile: 2.3404900550842287
90th percentile: 2.8207837104797364
95th percentile: 3.06093053817749
99th percentile: 3.2530480003356934
mean time: 2.113023614883423
Pipeline stage StressChecker completed in 42.77s
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 0.78s
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 0.88s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v14 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 5109.16s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v14 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v14 status is now torndown due to DeploymentManager action