junhua024-chai-06-full-_72764

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_72764_v1
model_name: junhua024-chai-06-full-_72764_v1
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T11:30:39+00:00
num_battles: 5825
num_wins: 2980
celo_rating: 1291.83
family_friendly_score: 0.5466
family_friendly_standard_error: 0.007040290334922275
submission_type: basic
model_repo: junhua024/chai_06_full_02102_2024
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': 0.5912009076066294, 'latency_mean': 1.6913327276706696, 'latency_p50': 1.6893740892410278, 'latency_p90': 1.8537779331207276}, {'batch_size': 3, 'throughput': 1.0761239043258437, 'latency_mean': 2.777035549879074, 'latency_p50': 2.763755679130554, 'latency_p90': 3.0672372817993163}, {'batch_size': 5, 'throughput': 1.2769187029703413, 'latency_mean': 3.9000916504859924, 'latency_p50': 3.9126588106155396, 'latency_p90': 4.353834795951843}, {'batch_size': 6, 'throughput': 1.3386196081785344, 'latency_mean': 4.461448394060135, 'latency_p50': 4.437654256820679, 'latency_p90': 4.998198866844177}, {'batch_size': 8, 'throughput': 1.4013886618075984, 'latency_mean': 5.668701491355896, 'latency_p50': 5.676735281944275, 'latency_p90': 6.367373013496399}, {'batch_size': 10, 'throughput': 1.4477390625602182, 'latency_mean': 6.852910628318787, 'latency_p50': 6.902905225753784, 'latency_p90': 7.7106773853302}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_72764_v1
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_2024
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-17
win_ratio: 0.511587982832618
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-72764-v1-mkmlizer
Waiting for job on junhua024-chai-06-full-72764-v1-mkmlizer to finish
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junhua024-chai-06-full-72764-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-72764-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-72764-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-72764-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-72764-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-72764-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-72764-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-72764-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-72764-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-72764-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-72764-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-72764-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-72764-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-72764-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-72764-v1-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-72764-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-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-72764-v1-mkmlizer: Downloaded to shared memory in 123.969s
junhua024-chai-06-full-72764-v1-mkmlizer: Checking if junhua024/chai_06_full_02102_2024 already exists in ChaiML
junhua024-chai-06-full-72764-v1-mkmlizer: Creating repo ChaiML/chai_06_full_02102_2024 and uploading /tmp/tmpdvpi8kly to it
junhua024-chai-06-full-72764-v1-mkmlizer: 
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junhua024-chai-06-full-72764-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdvpi8kly, device:0
junhua024-chai-06-full-72764-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-72764-v1-mkmlizer: quantized model in 31.906s
junhua024-chai-06-full-72764-v1-mkmlizer: Processed model junhua024/chai_06_full_02102_2024 in 262.755s
junhua024-chai-06-full-72764-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-72764-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-72764-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-72764-v1/nvidia
junhua024-chai-06-full-72764-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-72764-v1/nvidia/config.json
junhua024-chai-06-full-72764-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-72764-v1/nvidia/special_tokens_map.json
junhua024-chai-06-full-72764-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-72764-v1/nvidia/tokenizer_config.json
junhua024-chai-06-full-72764-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-72764-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-72764-v1-mkmlizer completed after 284.54s with status: succeeded
Stopping job with name junhua024-chai-06-full-72764-v1-mkmlizer
Pipeline stage MKMLizer completed in 285.16s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.20s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-72764-v1
Waiting for inference service junhua024-chai-06-full-72764-v1 to be ready
Failed to get response for submission chaiml-gy-exp180-dpo3-e_53353_v2: HTTPConnectionPool(host='chaiml-gy-exp180-dpo3-e-53353-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 0x76d080747090>, 'Connection to chaiml-gy-exp180-dpo3-e-53353-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
Inference service junhua024-chai-06-full-72764-v1 ready after 291.5260407924652s
Pipeline stage MKMLDeployer completed in 292.18s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.559459686279297s
Received healthy response to inference request in 1.659449577331543s
Received healthy response to inference request in 1.6091408729553223s
Received healthy response to inference request in 1.6394481658935547s
Received healthy response to inference request in 1.5186562538146973s
5 requests
0 failed requests
5th percentile: 1.5367531776428223
10th percentile: 1.5548501014709473
20th percentile: 1.5910439491271973
30th percentile: 1.6152023315429687
40th percentile: 1.6273252487182617
50th percentile: 1.6394481658935547
60th percentile: 1.64744873046875
70th percentile: 1.6554492950439452
80th percentile: 1.839451599121094
90th percentile: 2.1994556427001952
95th percentile: 2.379457664489746
99th percentile: 2.5234592819213866
mean time: 1.7972309112548828
Pipeline stage StressChecker completed in 11.04s
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 0.83s
Shutdown handler de-registered
junhua024-chai-06-full-_72764_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.13s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-72764-v1-profiler
Waiting for inference service junhua024-chai-06-full-72764-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 2947.02s
Shutdown handler de-registered
junhua024-chai-06-full-_72764_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_72764_v1 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_72764_v1 status is now torndown due to DeploymentManager action