junhua024-chai-06-full-_30622

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_30622_v3
model_name: junhua024-chai-06-full-_30622_v3
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T19:09:29+00:00
num_battles: 8544
num_wins: 4189
celo_rating: 1276.61
family_friendly_score: 0.5488
family_friendly_standard_error: 0.007037308576437443
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': 0.5955334088464376, 'latency_mean': 1.6790500831604005, 'latency_p50': 1.676594853401184, 'latency_p90': 1.8533472299575806}, {'batch_size': 3, 'throughput': 1.0813114414590652, 'latency_mean': 2.762542173862457, 'latency_p50': 2.7400131225585938, 'latency_p90': 3.046886610984802}, {'batch_size': 5, 'throughput': 1.282655417299377, 'latency_mean': 3.8787196493148803, 'latency_p50': 3.91180682182312, 'latency_p90': 4.345341467857361}, {'batch_size': 6, 'throughput': 1.3505620989305034, 'latency_mean': 4.42641203045845, 'latency_p50': 4.418059349060059, 'latency_p90': 4.935128879547119}, {'batch_size': 8, 'throughput': 1.4050353866968133, 'latency_mean': 5.656814421415329, 'latency_p50': 5.614352107048035, 'latency_p90': 6.36397020816803}, {'batch_size': 10, 'throughput': 1.4392828226928513, 'latency_mean': 6.90229872584343, 'latency_p50': 6.937098383903503, 'latency_p90': 7.705235576629638}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_30622_v3
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: 2025-07-17
win_ratio: 0.49028558052434457
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-v3-mkmlizer
Waiting for job on junhua024-chai-06-full-30622-v3-mkmlizer to finish
junhua024-chai-06-full-30622-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-30622-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-30622-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-30622-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-30622-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-30622-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-30622-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-30622-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-30622-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-30622-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-30622-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-30622-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-30622-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-30622-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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 junhua024-chai-06-full-_71610_v6: HTTPConnectionPool(host='junhua024-chai-06-full-71610-v6-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7abbd4678810>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution'))
junhua024-chai-06-full-30622-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-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-v3-mkmlizer: Downloaded to shared memory in 137.677s
junhua024-chai-06-full-30622-v3-mkmlizer: Checking if junhua024/chai_06_full_02102_1925 already exists in ChaiML
junhua024-chai-06-full-30622-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0zidgnv8, device:0
junhua024-chai-06-full-30622-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-30622-v3-mkmlizer: quantized model in 32.639s
junhua024-chai-06-full-30622-v3-mkmlizer: Processed model junhua024/chai_06_full_02102_1925 in 170.388s
junhua024-chai-06-full-30622-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-30622-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-30622-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v3/nvidia
junhua024-chai-06-full-30622-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v3/nvidia/special_tokens_map.json
junhua024-chai-06-full-30622-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v3/nvidia/config.json
junhua024-chai-06-full-30622-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v3/nvidia/tokenizer_config.json
junhua024-chai-06-full-30622-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-30622-v3-mkmlizer: 
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Job junhua024-chai-06-full-30622-v3-mkmlizer completed after 190.77s with status: succeeded
Stopping job with name junhua024-chai-06-full-30622-v3-mkmlizer
Pipeline stage MKMLizer completed in 191.29s
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-06-full-30622-v3
Waiting for inference service junhua024-chai-06-full-30622-v3 to be ready
Inference service junhua024-chai-06-full-30622-v3 ready after 311.2169198989868s
Pipeline stage MKMLDeployer completed in 311.79s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3749043941497803s
Received healthy response to inference request in 1.512688398361206s
Received healthy response to inference request in 1.5705609321594238s
Received healthy response to inference request in 1.6420817375183105s
Received healthy response to inference request in 1.766767978668213s
5 requests
0 failed requests
5th percentile: 1.5242629051208496
10th percentile: 1.5358374118804932
20th percentile: 1.5589864253997803
30th percentile: 1.5848650932312012
40th percentile: 1.6134734153747559
50th percentile: 1.6420817375183105
60th percentile: 1.6919562339782714
70th percentile: 1.7418307304382323
80th percentile: 1.8883952617645265
90th percentile: 2.1316498279571534
95th percentile: 2.2532771110534666
99th percentile: 2.3505789375305177
mean time: 1.7734006881713866
Pipeline stage StressChecker completed in 10.27s
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 0.70s
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 0.91s
Shutdown handler de-registered
junhua024-chai-06-full-_30622_v3 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 4838.63s
Shutdown handler de-registered
junhua024-chai-06-full-_30622_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_30622_v3 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_30622_v3 status is now torndown due to DeploymentManager action