junhua024-chai-06-full-_30622

developer_uid: junhua024

submission_id: junhua024-chai-06-full-_30622_v5

model_name: junhua024-chai-06-full-_30622_v5

model_group: junhua024/chai_06_full_0

status: torndown

timestamp: 2025-07-17T20:29:09+00:00

num_battles: 9108

num_wins: 4613

celo_rating: 1285.77

family_friendly_score: 0.5589999999999999

family_friendly_standard_error: 0.007021666468866205

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': 0.5961098271908565, 'latency_mean': 1.677372099161148, 'latency_p50': 1.6735045909881592, 'latency_p90': 1.8487181663513184}, {'batch_size': 3, 'throughput': 1.090468569188931, 'latency_mean': 2.742497876882553, 'latency_p50': 2.7170060873031616, 'latency_p90': 3.05226993560791}, {'batch_size': 5, 'throughput': 1.3028598242871723, 'latency_mean': 3.8226039361953736, 'latency_p50': 3.8556389808654785, 'latency_p90': 4.254878234863281}, {'batch_size': 6, 'throughput': 1.370312498956066, 'latency_mean': 4.35559744477272, 'latency_p50': 4.341039180755615, 'latency_p90': 4.890930414199829}, {'batch_size': 8, 'throughput': 1.4309799776740997, 'latency_mean': 5.561111810207367, 'latency_p50': 5.5598719120025635, 'latency_p90': 6.228906464576721}, {'batch_size': 10, 'throughput': 1.475796291848169, 'latency_mean': 6.714348338842392, 'latency_p50': 6.6928428411483765, 'latency_p90': 7.614837718009949}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-06-full-_30622_v5

is_internal_developer: False

language_model: junhua024/chai_06_full_02102_1925

model_size: 13B

ranking_group: single

throughput_3p7s: 1.29

us_pacific_date: 2025-07-17

win_ratio: 0.506477821695213

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-v5-mkmlizer
Waiting for job on junhua024-chai-06-full-30622-v5-mkmlizer to finish
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junhua024-chai-06-full-30622-v5-mkmlizer: ║                                                                     ║
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junhua024-chai-06-full-30622-v5-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-06-full-30622-v5-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v5-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-06-full-30622-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-06-full-30622-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-06-full-30622-v5-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-06-full-30622-v5-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-06-full-30622-v5-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-06-full-30622-v5-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v5-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-06-full-30622-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-06-full-30622-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-06-full-30622-v5-mkmlizer: ║                                                                     ║
junhua024-chai-06-full-30622-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-06-full-30622-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-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-v5-mkmlizer: Downloaded to shared memory in 79.233s
junhua024-chai-06-full-30622-v5-mkmlizer: Checking if junhua024/chai_06_full_02102_1925 already exists in ChaiML
junhua024-chai-06-full-30622-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6n1icjne, device:0
junhua024-chai-06-full-30622-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-06-full-30622-v5-mkmlizer: quantized model in 30.909s
junhua024-chai-06-full-30622-v5-mkmlizer: Processed model junhua024/chai_06_full_02102_1925 in 110.230s
junhua024-chai-06-full-30622-v5-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-06-full-30622-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-06-full-30622-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v5/nvidia
junhua024-chai-06-full-30622-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v5/nvidia/config.json
junhua024-chai-06-full-30622-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v5/nvidia/special_tokens_map.json
junhua024-chai-06-full-30622-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v5/nvidia/tokenizer_config.json
junhua024-chai-06-full-30622-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v5/nvidia/tokenizer.json
junhua024-chai-06-full-30622-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-06-full-30622-v5/nvidia/flywheel_model.0.safetensors
junhua024-chai-06-full-30622-v5-mkmlizer: 
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Job junhua024-chai-06-full-30622-v5-mkmlizer completed after 135.56s with status: succeeded
Stopping job with name junhua024-chai-06-full-30622-v5-mkmlizer
Pipeline stage MKMLizer completed in 137.68s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.32s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-06-full-30622-v5
Waiting for inference service junhua024-chai-06-full-30622-v5 to be ready
Inference service junhua024-chai-06-full-30622-v5 ready after 312.44187235832214s
Pipeline stage MKMLDeployer completed in 313.37s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.737575054168701s
Received healthy response to inference request in 1.810662031173706s
Received healthy response to inference request in 1.980973243713379s
Received healthy response to inference request in 1.5989508628845215s
Received healthy response to inference request in 2.014909505844116s
5 requests
0 failed requests
5th percentile: 1.6412930965423584
10th percentile: 1.6836353302001954
20th percentile: 1.768319797515869
30th percentile: 1.8447242736816407
40th percentile: 1.9128487586975098
50th percentile: 1.980973243713379
60th percentile: 1.9945477485656737
70th percentile: 2.0081222534179686
80th percentile: 2.1594426155090334
90th percentile: 2.4485088348388673
95th percentile: 2.593041944503784
99th percentile: 2.7086684322357177
mean time: 2.028614139556885
Pipeline stage StressChecker completed in 11.79s
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 0.94s
Shutdown handler de-registered
junhua024-chai-06-full-_30622_v5 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.14s
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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-30622-v5-profiler
Shutdown handler registered
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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 4811.72s
Shutdown handler de-registered
junhua024-chai-06-full-_30622_v5 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-06-full-_30622_v5 status is now torndown due to DeploymentManager action
junhua024-chai-06-full-_30622_v5 status is now torndown due to DeploymentManager action