junhua024-chai-06-full-_31336

developer_uid: junhua024

submission_id: junhua024-chai-06-full-_31336_v3

model_name: junhua024-chai-06-full-_31336_v3

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-17T12:07:55+00:00

num_battles: 5979

num_wins: 3019

celo_rating: 1280.63

family_friendly_score: 0.5482

family_friendly_standard_error: 0.007038135548566822

submission_type: basic

model_repo: junhua024/chai_06_full_02102_1619

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': 0.5979601939634291, 'latency_mean': 1.6721721255779267, 'latency_p50': 1.675899624824524, 'latency_p90': 1.8342925071716307}, {'batch_size': 3, 'throughput': 1.0875190089743245, 'latency_mean': 2.7512749671936034, 'latency_p50': 2.7553865909576416, 'latency_p90': 3.048664903640747}, {'batch_size': 5, 'throughput': 1.294328746146893, 'latency_mean': 3.845766257047653, 'latency_p50': 3.823479413986206, 'latency_p90': 4.325411462783814}, {'batch_size': 6, 'throughput': 1.3666086968772755, 'latency_mean': 4.371450568437576, 'latency_p50': 4.363497734069824, 'latency_p90': 4.85627052783966}, {'batch_size': 8, 'throughput': 1.4147009008330356, 'latency_mean': 5.618973675966263, 'latency_p50': 5.680344581604004, 'latency_p90': 6.395160770416259}, {'batch_size': 10, 'throughput': 1.4618595481204508, 'latency_mean': 6.78061638712883, 'latency_p50': 6.734174370765686, 'latency_p90': 7.658776640892029}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full-_31336_v3

is_internal_developer: False

language_model: junhua024/chai_06_full_02102_1619

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-07-17

win_ratio: 0.5049339354407092

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-31336-v3-mkmlizer
Waiting for job on junhua024-chai-06-full-31336-v3-mkmlizer to finish
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junhua024-chai-06-full-31336-v3-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-31336-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-31336-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31336-v3-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-31336-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-31336-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-31336-v3-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-31336-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31336-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-31336-v3-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-31336-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31336-v3-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-31336-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-31336-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-31336-v3-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-31336-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-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-31336-v3-mkmlizer: Downloaded to shared memory in 86.666s
junhua024-chai-06-full-31336-v3-mkmlizer: Checking if junhua024/chai_06_full_02102_1619 already exists in ChaiML
junhua024-chai-06-full-31336-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4evuun97, device:0
junhua024-chai-06-full-31336-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-31336-v3-mkmlizer: quantized model in 31.902s
junhua024-chai-06-full-31336-v3-mkmlizer: Processed model junhua024/chai_06_full_02102_1619 in 118.641s
junhua024-chai-06-full-31336-v3-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-31336-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v3/nvidia/config.json
junhua024-chai-06-full-31336-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v3/nvidia/special_tokens_map.json
junhua024-chai-06-full-31336-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v3/nvidia/tokenizer_config.json
junhua024-chai-06-full-31336-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v3/nvidia/tokenizer.json
junhua024-chai-06-full-31336-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-31336-v3/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-31336-v3-mkmlizer: 
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Job junhua024-chai-06-full-31336-v3-mkmlizer completed after 139.38s with status: succeeded
Stopping job with name junhua024-chai-06-full-31336-v3-mkmlizer
Pipeline stage MKMLizer completed in 140.39s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-31336-v3
Waiting for inference service junhua024-chai-06-full-31336-v3 to be ready
Inference service junhua024-chai-06-full-31336-v3 ready after 301.25029587745667s
Pipeline stage MKMLDeployer completed in 301.87s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1704983711242676s
Received healthy response to inference request in 1.5833392143249512s
Received healthy response to inference request in 1.5943241119384766s
Received healthy response to inference request in 1.7205805778503418s
Received healthy response to inference request in 2.006065845489502s
5 requests
0 failed requests
5th percentile: 1.5855361938476562
10th percentile: 1.5877331733703612
20th percentile: 1.5921271324157715
30th percentile: 1.6195754051208495
40th percentile: 1.6700779914855957
50th percentile: 1.7205805778503418
60th percentile: 1.8347746849060058
70th percentile: 1.9489687919616698
80th percentile: 2.038952350616455
90th percentile: 2.1047253608703613
95th percentile: 2.1376118659973145
99th percentile: 2.163921070098877
mean time: 1.8149616241455078
Pipeline stage StressChecker completed in 10.97s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.77s
Shutdown handler de-registered
junhua024-chai-06-full-_31336_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-06-full-31336-v3-profiler
Waiting for inference service junhua024-chai-06-full-31336-v3-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3083.20s
Shutdown handler de-registered
junhua024-chai-06-full-_31336_v3 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_31336_v3 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_31336_v3 status is now torndown due to DeploymentManager action