junhua024-chai-06-full-_23800

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_23800_v1
model_name: junhua024-chai-06-full-_23800_v1
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T16:32:03+00:00
num_battles: 5841
num_wins: 2843
celo_rating: 1263.82
family_friendly_score: 0.5508
family_friendly_standard_error: 0.007034477379308288
submission_type: basic
model_repo: junhua024/chai_06_full_02102_1619_2124
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': 0.5917750622228105, 'latency_mean': 1.6896299493312836, 'latency_p50': 1.6820746660232544, 'latency_p90': 1.8376523733139039}, {'batch_size': 3, 'throughput': 1.064319747646306, 'latency_mean': 2.8097362864017486, 'latency_p50': 2.824817419052124, 'latency_p90': 3.058091139793396}, {'batch_size': 5, 'throughput': 1.281120751942239, 'latency_mean': 3.8806548428535463, 'latency_p50': 3.893313765525818, 'latency_p90': 4.44065248966217}, {'batch_size': 6, 'throughput': 1.341920466481734, 'latency_mean': 4.439536254405976, 'latency_p50': 4.4452550411224365, 'latency_p90': 5.009313917160034}, {'batch_size': 8, 'throughput': 1.3981528552660498, 'latency_mean': 5.672505221366882, 'latency_p50': 5.705761671066284, 'latency_p90': 6.33075602054596}, {'batch_size': 10, 'throughput': 1.4357748743429466, 'latency_mean': 6.904148757457733, 'latency_p50': 6.973112106323242, 'latency_p90': 7.820660138130188}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_23800_v1
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1619_2124
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-17
win_ratio: 0.4867317240198596
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-23800-v1-mkmlizer
Waiting for job on junhua024-chai-06-full-23800-v1-mkmlizer to finish
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junhua024-chai-06-full-23800-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-23800-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-23800-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-23800-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-23800-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-23800-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-23800-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-23800-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-23800-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-23800-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-23800-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-23800-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-23800-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-23800-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-23800-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-23800-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-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-06-full-23800-v1-mkmlizer: Downloaded to shared memory in 512.176s
junhua024-chai-06-full-23800-v1-mkmlizer: Checking if junhua024/chai_06_full_02102_1619_2124 already exists in ChaiML
junhua024-chai-06-full-23800-v1-mkmlizer: Creating repo ChaiML/chai_06_full_02102_1619_2124 and uploading /tmp/tmpaodv6fd7 to it
junhua024-chai-06-full-23800-v1-mkmlizer: 
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junhua024-chai-06-full-23800-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpaodv6fd7, device:0
junhua024-chai-06-full-23800-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-23800-v1-mkmlizer: quantized model in 31.818s
junhua024-chai-06-full-23800-v1-mkmlizer: Processed model junhua024/chai_06_full_02102_1619_2124 in 639.605s
junhua024-chai-06-full-23800-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-23800-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-23800-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v1/nvidia
junhua024-chai-06-full-23800-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v1/nvidia/config.json
junhua024-chai-06-full-23800-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v1/nvidia/special_tokens_map.json
junhua024-chai-06-full-23800-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v1/nvidia/tokenizer_config.json
junhua024-chai-06-full-23800-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v1/nvidia/tokenizer.json
junhua024-chai-06-full-23800-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-23800-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-23800-v1-mkmlizer completed after 662.41s with status: succeeded
Stopping job with name junhua024-chai-06-full-23800-v1-mkmlizer
Pipeline stage MKMLizer completed in 663.16s
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-06-full-23800-v1
Waiting for inference service junhua024-chai-06-full-23800-v1 to be ready
Failed to get response for submission zmeeks-capitanito-53_v12: HTTPConnectionPool(host='zmeeks-capitanito-53-v12-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-06-full-23800-v1 ready after 302.82432556152344s
Pipeline stage MKMLDeployer completed in 303.66s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 7.861553192138672s
Received healthy response to inference request in 2.233335018157959s
Received healthy response to inference request in 6.628870248794556s
Received healthy response to inference request in 1.57515287399292s
Received healthy response to inference request in 1.7896769046783447s
5 requests
0 failed requests
5th percentile: 1.6180576801300048
10th percentile: 1.6609624862670898
20th percentile: 1.7467720985412598
30th percentile: 1.8784085273742677
40th percentile: 2.055871772766113
50th percentile: 2.233335018157959
60th percentile: 3.9915491104125973
70th percentile: 5.749763202667236
80th percentile: 6.875406837463379
90th percentile: 7.368480014801025
95th percentile: 7.615016603469848
99th percentile: 7.8122458744049075
mean time: 4.01771764755249
%s, retrying in %s seconds...
Received healthy response to inference request in 1.5547840595245361s
Received healthy response to inference request in 1.8365669250488281s
Received healthy response to inference request in 2.141263008117676s
Received healthy response to inference request in 1.8188400268554688s
Received healthy response to inference request in 1.5151972770690918s
5 requests
0 failed requests
5th percentile: 1.5231146335601806
10th percentile: 1.5310319900512694
20th percentile: 1.5468667030334473
30th percentile: 1.6075952529907227
40th percentile: 1.7132176399230956
50th percentile: 1.8188400268554688
60th percentile: 1.8259307861328125
70th percentile: 1.8330215454101562
80th percentile: 1.8975061416625978
90th percentile: 2.019384574890137
95th percentile: 2.0803237915039063
99th percentile: 2.129075164794922
mean time: 1.7733302593231202
Pipeline stage StressChecker completed in 32.96s
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 0.74s
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 0.80s
Shutdown handler de-registered
junhua024-chai-06-full-_23800_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.21s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-23800-v1-profiler
Waiting for inference service junhua024-chai-06-full-23800-v1-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2917.25s
Shutdown handler de-registered
junhua024-chai-06-full-_23800_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_23800_v1 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_23800_v1 status is now torndown due to DeploymentManager action