junhua024-chai-1-full-066126

developer_uid: junhua024

submission_id: junhua024-chai-1-full-066126_v77

model_name: junhua024-chai-1-full-066126_v77

model_group: junhua024/chai-1-full-06

status: torndown

timestamp: 2025-07-15T16:53:34+00:00

num_battles: 8316

num_wins: 4043

celo_rating: 1270.82

family_friendly_score: 0.5542

family_friendly_standard_error: 0.007029400543431851

submission_type: basic

model_repo: junhua024/chai-1-full-066126

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': 0.5969345156899825, 'latency_mean': 1.6750469076633454, 'latency_p50': 1.6644306182861328, 'latency_p90': 1.8610683917999267}, {'batch_size': 3, 'throughput': 1.079316348918189, 'latency_mean': 2.774073588848114, 'latency_p50': 2.7892913818359375, 'latency_p90': 3.08102662563324}, {'batch_size': 5, 'throughput': 1.3025970960975937, 'latency_mean': 3.8124794685840606, 'latency_p50': 3.816961884498596, 'latency_p90': 4.31320698261261}, {'batch_size': 6, 'throughput': 1.350940617798666, 'latency_mean': 4.408401592969894, 'latency_p50': 4.403110861778259, 'latency_p90': 5.010925197601318}, {'batch_size': 8, 'throughput': 1.4255974418247108, 'latency_mean': 5.571324729919434, 'latency_p50': 5.592392444610596, 'latency_p90': 6.221854805946349}, {'batch_size': 10, 'throughput': 1.443457880982484, 'latency_mean': 6.854504162073136, 'latency_p50': 6.850637197494507, 'latency_p90': 7.688884687423706}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: junhua024-chai-1-full-066126_v77

is_internal_developer: False

language_model: junhua024/chai-1-full-066126

model_size: 13B

ranking_group: single

throughput_3p7s: 1.29

us_pacific_date: 2025-07-15

win_ratio: 0.4861712361712362

generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.2, '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-1-full-066126-v77-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v77-mkmlizer to finish
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junhua024-chai-1-full-066126-v77-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v77-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v77-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v77-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v77-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v77-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v77-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v77-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v77-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v77-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v77-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v77-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v77-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v77-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v77-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v77-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-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-1-full-066126-v77-mkmlizer: Downloaded to shared memory in 86.235s
junhua024-chai-1-full-066126-v77-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v77-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpn6mqvuzp, device:0
junhua024-chai-1-full-066126-v77-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v77-mkmlizer: quantized model in 32.851s
junhua024-chai-1-full-066126-v77-mkmlizer: Processed model junhua024/chai-1-full-066126 in 119.192s
junhua024-chai-1-full-066126-v77-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v77-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v77/nvidia
junhua024-chai-1-full-066126-v77-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v77/nvidia/config.json
junhua024-chai-1-full-066126-v77-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v77/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v77-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v77/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v77-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v77/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v77-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v77/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v77-mkmlizer: 
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Job junhua024-chai-1-full-066126-v77-mkmlizer completed after 152.39s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v77-mkmlizer
Pipeline stage MKMLizer completed in 153.06s
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-1-full-066126-v77
Waiting for inference service junhua024-chai-1-full-066126-v77 to be ready
Inference service junhua024-chai-1-full-066126-v77 ready after 241.12646508216858s
Pipeline stage MKMLDeployer completed in 241.59s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.476252555847168s
Received healthy response to inference request in 1.5703554153442383s
Received healthy response to inference request in 1.538947582244873s
Received healthy response to inference request in 2.2186808586120605s
Received healthy response to inference request in 1.614471673965454s
5 requests
0 failed requests
5th percentile: 1.545229148864746
10th percentile: 1.551510715484619
20th percentile: 1.5640738487243653
30th percentile: 1.5791786670684815
40th percentile: 1.5968251705169678
50th percentile: 1.614471673965454
60th percentile: 1.8561553478240966
70th percentile: 2.097839021682739
80th percentile: 2.270195198059082
90th percentile: 2.373223876953125
95th percentile: 2.4247382164001463
99th percentile: 2.465949687957764
mean time: 1.8837416172027588
Pipeline stage StressChecker completed in 11.24s
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 0.69s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.98s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v77 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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3517.93s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v77 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v77 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v77 status is now torndown due to DeploymentManager action