junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v30
model_name: junhua024-chai-1-full-066126_v30
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-14T11:58:22+00:00
num_battles: 9658
num_wins: 4706
celo_rating: 1264.58
family_friendly_score: 0.55
family_friendly_standard_error: 0.007035623639735145
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': 0.5898738341544456, 'latency_mean': 1.695159546136856, 'latency_p50': 1.698177456855774, 'latency_p90': 1.8577505826950074}, {'batch_size': 3, 'throughput': 1.0720123226782692, 'latency_mean': 2.787218097448349, 'latency_p50': 2.8091702461242676, 'latency_p90': 3.0264296054840085}, {'batch_size': 5, 'throughput': 1.2981738314601987, 'latency_mean': 3.822279233932495, 'latency_p50': 3.824805498123169, 'latency_p90': 4.269274592399597}, {'batch_size': 6, 'throughput': 1.3635477427079183, 'latency_mean': 4.361344169378281, 'latency_p50': 4.361279129981995, 'latency_p90': 4.879522800445557}, {'batch_size': 8, 'throughput': 1.4172263302512977, 'latency_mean': 5.602248433828354, 'latency_p50': 5.616022706031799, 'latency_p90': 6.265631127357483}, {'batch_size': 10, 'throughput': 1.4516515693732248, 'latency_mean': 6.828160142898559, 'latency_p50': 6.889526128768921, 'latency_p90': 7.629389142990112}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v30
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-14
win_ratio: 0.4872644439842618
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 10, 'presence_penalty': 0.1, '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-v30-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v30-mkmlizer to finish
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junhua024-chai-1-full-066126-v30-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v30-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v30-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v30-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v30-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v30-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v30-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v30-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v30-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v30-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v30-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v30-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v30-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v30-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v30-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v30-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-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-v30-mkmlizer: Downloaded to shared memory in 83.250s
junhua024-chai-1-full-066126-v30-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v30-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpuad7rb0v, device:0
junhua024-chai-1-full-066126-v30-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v30-mkmlizer: quantized model in 39.987s
junhua024-chai-1-full-066126-v30-mkmlizer: Processed model junhua024/chai-1-full-066126 in 123.322s
junhua024-chai-1-full-066126-v30-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v30-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v30-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v30/nvidia
junhua024-chai-1-full-066126-v30-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v30/nvidia/config.json
junhua024-chai-1-full-066126-v30-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v30/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v30-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v30/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v30-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v30/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v30-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v30/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-1-full-066126-v30-mkmlizer completed after 147.76s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v30-mkmlizer
Pipeline stage MKMLizer completed in 148.33s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v30
Waiting for inference service junhua024-chai-1-full-066126-v30 to be ready
Inference service junhua024-chai-1-full-066126-v30 ready after 231.24196195602417s
Pipeline stage MKMLDeployer completed in 231.85s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.223461627960205s
Received healthy response to inference request in 1.5553312301635742s
Received healthy response to inference request in 1.549771785736084s
Received healthy response to inference request in 1.9098806381225586s
Received healthy response to inference request in 1.7054994106292725s
5 requests
0 failed requests
5th percentile: 1.550883674621582
10th percentile: 1.5519955635070801
20th percentile: 1.5542193412780763
30th percentile: 1.585364866256714
40th percentile: 1.645432138442993
50th percentile: 1.7054994106292725
60th percentile: 1.7872519016265869
70th percentile: 1.8690043926239013
80th percentile: 1.9725968360900878
90th percentile: 2.0980292320251466
95th percentile: 2.1607454299926756
99th percentile: 2.210918388366699
mean time: 1.7887889385223388
Pipeline stage StressChecker completed in 10.44s
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
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.72s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v30 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
Pipeline stage MKMLProfilerDeleter completed in 0.13s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v30-profiler
Waiting for inference service junhua024-chai-1-full-066126-v30-profiler to be ready
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 5725.42s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v30 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v30 status is now torndown due to DeploymentManager action