junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v45
model_name: junhua024-chai-1-full-066126_v45
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T06:01:58+00:00
num_battles: 7301
num_wins: 3383
celo_rating: 1266.67
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': 0.6016890616502343, 'latency_mean': 1.6618831610679627, 'latency_p50': 1.6545759439468384, 'latency_p90': 1.8379565000534057}, {'batch_size': 3, 'throughput': 1.0651618035373158, 'latency_mean': 2.8086777925491333, 'latency_p50': 2.8405070304870605, 'latency_p90': 3.0779575824737546}, {'batch_size': 5, 'throughput': 1.2918435457760211, 'latency_mean': 3.845274350643158, 'latency_p50': 3.867283344268799, 'latency_p90': 4.362620449066162}, {'batch_size': 6, 'throughput': 1.3642523387714174, 'latency_mean': 4.379352262020111, 'latency_p50': 4.410154581069946, 'latency_p90': 4.876897072792053}, {'batch_size': 8, 'throughput': 1.4211088704104329, 'latency_mean': 5.5999464309215545, 'latency_p50': 5.554630160331726, 'latency_p90': 6.25539755821228}, {'batch_size': 10, 'throughput': 1.4430428960975958, 'latency_mean': 6.866934294700623, 'latency_p50': 6.8877503871917725, 'latency_p90': 7.775340747833252}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v45
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-14
win_ratio: 0.4633611833995343
generation_params: {'temperature': 1.0, 'top_p': 0.89, '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-1-full-066126-v45-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v45-mkmlizer to finish
junhua024-chai-1-full-066126-v45-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v45-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v45-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v45-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v45-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v45-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v45-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v45-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v45-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v45-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v45-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v45-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v45-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v45-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v45-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v45-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v45-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-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-v45-mkmlizer: Downloaded to shared memory in 79.026s
junhua024-chai-1-full-066126-v45-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v45-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5cl6r93g, device:0
junhua024-chai-1-full-066126-v45-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v45-mkmlizer: quantized model in 31.588s
junhua024-chai-1-full-066126-v45-mkmlizer: Processed model junhua024/chai-1-full-066126 in 110.694s
junhua024-chai-1-full-066126-v45-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v45-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v45-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v45/nvidia
junhua024-chai-1-full-066126-v45-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v45/nvidia/config.json
junhua024-chai-1-full-066126-v45-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v45/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v45-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v45/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v45-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v45/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v45-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v45/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v45-mkmlizer: 
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Job junhua024-chai-1-full-066126-v45-mkmlizer completed after 138.48s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v45-mkmlizer
Pipeline stage MKMLizer completed in 139.03s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.40s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v45
Waiting for inference service junhua024-chai-1-full-066126-v45 to be ready
Inference service junhua024-chai-1-full-066126-v45 ready after 240.87357306480408s
Pipeline stage MKMLDeployer completed in 241.45s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4325358867645264s
Received healthy response to inference request in 1.7892816066741943s
Received healthy response to inference request in 1.49031400680542s
Received healthy response to inference request in 2.2483935356140137s
Received healthy response to inference request in 1.6190097332000732s
5 requests
0 failed requests
5th percentile: 1.5160531520843505
10th percentile: 1.5417922973632812
20th percentile: 1.5932705879211426
30th percentile: 1.6530641078948975
40th percentile: 1.721172857284546
50th percentile: 1.7892816066741943
60th percentile: 1.972926378250122
70th percentile: 2.15657114982605
80th percentile: 2.2852220058441164
90th percentile: 2.3588789463043214
95th percentile: 2.3957074165344237
99th percentile: 2.4251701927185056
mean time: 1.9159069538116456
Pipeline stage StressChecker completed in 11.13s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.72s
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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 0.69s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v45 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-1-full-066126-v45-profiler
Waiting for inference service junhua024-chai-1-full-066126-v45-profiler to be ready
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 5403.33s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v45 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v45 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v45 status is now torndown due to DeploymentManager action