junhua024-chai-06-full-_71610

developer_uid: junhua024
submission_id: junhua024-chai-06-full-_71610_v4
model_name: junhua024-chai-06-full-_71610_v4
model_group: junhua024/chai_06_full_0
status: torndown
timestamp: 2025-07-17T18:39:36+00:00
num_battles: 9282
num_wins: 4591
celo_rating: 1276.89
family_friendly_score: 0.5526
family_friendly_standard_error: 0.007031831055991035
submission_type: basic
model_repo: junhua024/chai_06_full_02102_1619_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': 0.5923154016699683, 'latency_mean': 1.6881746888160705, 'latency_p50': 1.6924171447753906, 'latency_p90': 1.8595649480819703}, {'batch_size': 3, 'throughput': 1.0773474234751585, 'latency_mean': 2.7748046100139616, 'latency_p50': 2.769465684890747, 'latency_p90': 3.0790616273880005}, {'batch_size': 5, 'throughput': 1.278316338632176, 'latency_mean': 3.8976606810092926, 'latency_p50': 3.8793370723724365, 'latency_p90': 4.379570484161377}, {'batch_size': 6, 'throughput': 1.3265694349834694, 'latency_mean': 4.4934132087230685, 'latency_p50': 4.503626346588135, 'latency_p90': 5.192415881156921}, {'batch_size': 8, 'throughput': 1.404903574386243, 'latency_mean': 5.664094405174255, 'latency_p50': 5.592267155647278, 'latency_p90': 6.402894115447998}, {'batch_size': 10, 'throughput': 1.4261422370748482, 'latency_mean': 6.959164273738861, 'latency_p50': 6.975854396820068, 'latency_p90': 7.871731638908386}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-06-full-_71610_v4
is_internal_developer: False
language_model: junhua024/chai_06_full_02102_1619_2024
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-17
win_ratio: 0.4946132299073476
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-71610-v4-mkmlizer
Waiting for job on junhua024-chai-06-full-71610-v4-mkmlizer to finish
junhua024-chai-06-full-71610-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-06-full-71610-v4-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-71610-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-71610-v4-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v4-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-71610-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-71610-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-71610-v4-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-71610-v4-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-71610-v4-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-71610-v4-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v4-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-71610-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-71610-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-71610-v4-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-71610-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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`
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-06-full-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-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-71610-v4-mkmlizer: Downloaded to shared memory in 77.537s
junhua024-chai-06-full-71610-v4-mkmlizer: Checking if junhua024/chai_06_full_02102_1619_2024 already exists in ChaiML
junhua024-chai-06-full-71610-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpyv82zkpw, device:0
junhua024-chai-06-full-71610-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-71610-v4-mkmlizer: quantized model in 31.429s
junhua024-chai-06-full-71610-v4-mkmlizer: Processed model junhua024/chai_06_full_02102_1619_2024 in 109.040s
junhua024-chai-06-full-71610-v4-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-71610-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-71610-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v4/nvidia
junhua024-chai-06-full-71610-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-71610-v4/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-06-full-71610-v4-mkmlizer completed after 139.68s with status: succeeded
Stopping job with name junhua024-chai-06-full-71610-v4-mkmlizer
Pipeline stage MKMLizer completed in 140.31s
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-71610-v4
Waiting for inference service junhua024-chai-06-full-71610-v4 to be ready
Retrying (%r) after connection broken by '%r': %s
Retrying (%r) after connection broken by '%r': %s
Inference service junhua024-chai-06-full-71610-v4 ready after 311.1415762901306s
Pipeline stage MKMLDeployer completed in 311.89s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.148808240890503s
Received healthy response to inference request in 15.887682437896729s
Received healthy response to inference request in 9.608911991119385s
Received healthy response to inference request in 4.194952726364136s
Received healthy response to inference request in 1.671330451965332s
5 requests
0 failed requests
5th percentile: 2.166826009750366
10th percentile: 2.6623215675354004
20th percentile: 3.6533126831054688
30th percentile: 4.15803713798523
40th percentile: 4.176494932174682
50th percentile: 4.194952726364136
60th percentile: 6.360536432266235
70th percentile: 8.526120138168334
80th percentile: 10.864666080474855
90th percentile: 13.376174259185792
95th percentile: 14.631928348541258
99th percentile: 15.636531620025634
mean time: 7.102337169647217
%s, retrying in %s seconds...
Received healthy response to inference request in 6.930593490600586s
Received healthy response to inference request in 1.691535234451294s
Received healthy response to inference request in 1.6769351959228516s
Received healthy response to inference request in 2.8032445907592773s
Received healthy response to inference request in 2.205904006958008s
5 requests
0 failed requests
5th percentile: 1.6798552036285401
10th percentile: 1.6827752113342285
20th percentile: 1.6886152267456054
30th percentile: 1.7944089889526367
40th percentile: 2.0001564979553224
50th percentile: 2.205904006958008
60th percentile: 2.4448402404785154
70th percentile: 2.6837764739990235
80th percentile: 3.6287143707275398
90th percentile: 5.279653930664063
95th percentile: 6.1051237106323235
99th percentile: 6.765499534606933
mean time: 3.0616425037384034
Pipeline stage StressChecker completed in 54.81s
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 0.92s
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 0.75s
Shutdown handler de-registered
junhua024-chai-06-full-_71610_v4 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 5257.59s
Shutdown handler de-registered
junhua024-chai-06-full-_71610_v4 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_71610_v4 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_71610_v4 status is now torndown due to DeploymentManager action