junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v80
model_name: junhua024-chai-1-full-066126_v80
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T18:03:55+00:00
num_battles: 7885
num_wins: 3739
celo_rating: 1273.03
family_friendly_score: 0.556
family_friendly_standard_error: 0.007026578114559035
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': 0.5948825142584291, 'latency_mean': 1.6808228933811187, 'latency_p50': 1.6821740865707397, 'latency_p90': 1.8481114864349366}, {'batch_size': 3, 'throughput': 1.0682359043843412, 'latency_mean': 2.7994981634616853, 'latency_p50': 2.7943631410598755, 'latency_p90': 3.09403977394104}, {'batch_size': 5, 'throughput': 1.2803144620016114, 'latency_mean': 3.8855232751369475, 'latency_p50': 3.9108577966690063, 'latency_p90': 4.334754490852356}, {'batch_size': 6, 'throughput': 1.3407025050992667, 'latency_mean': 4.444171516895294, 'latency_p50': 4.453109264373779, 'latency_p90': 4.973748683929443}, {'batch_size': 8, 'throughput': 1.4124534184719466, 'latency_mean': 5.631180132627487, 'latency_p50': 5.6588134765625, 'latency_p90': 6.281282210350036}, {'batch_size': 10, 'throughput': 1.4426712874112775, 'latency_mean': 6.870887407064438, 'latency_p50': 6.87445604801178, 'latency_p90': 7.671111536026}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v80
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.26
us_pacific_date: 2025-07-15
win_ratio: 0.47419150285351935
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.4, '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-v80-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v80-mkmlizer to finish
junhua024-chai-1-full-066126-v80-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-1-full-066126-v80-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v80-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v80-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v80-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v80-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v80-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v80-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v80-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v80-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v80-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v80-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v80-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v80-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v80-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v80-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v80-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-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-v80-mkmlizer: Downloaded to shared memory in 76.931s
junhua024-chai-1-full-066126-v80-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v80-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpy9wl6piu, device:0
junhua024-chai-1-full-066126-v80-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v80-mkmlizer: quantized model in 32.857s
junhua024-chai-1-full-066126-v80-mkmlizer: Processed model junhua024/chai-1-full-066126 in 109.868s
junhua024-chai-1-full-066126-v80-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v80-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v80-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v80/nvidia
junhua024-chai-1-full-066126-v80-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v80/nvidia/config.json
junhua024-chai-1-full-066126-v80-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v80/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v80-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v80/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v80-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v80/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v80-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v80/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v80-mkmlizer: 
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Job junhua024-chai-1-full-066126-v80-mkmlizer completed after 139.3s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v80-mkmlizer
Pipeline stage MKMLizer completed in 139.85s
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-v80
Waiting for inference service junhua024-chai-1-full-066126-v80 to be ready
Inference service junhua024-chai-1-full-066126-v80 ready after 241.2231388092041s
Pipeline stage MKMLDeployer completed in 242.03s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.7763876914978027s
Received healthy response to inference request in 1.5533206462860107s
Received healthy response to inference request in 1.81284499168396s
Received healthy response to inference request in 1.8539128303527832s
Received healthy response to inference request in 2.2851765155792236s
5 requests
0 failed requests
5th percentile: 1.6052255153656005
10th percentile: 1.6571303844451903
20th percentile: 1.7609401226043702
30th percentile: 1.8210585594177247
40th percentile: 1.8374856948852538
50th percentile: 1.8539128303527832
60th percentile: 2.0264183044433595
70th percentile: 2.1989237785339353
80th percentile: 2.3834187507629396
90th percentile: 2.579903221130371
95th percentile: 2.6781454563140867
99th percentile: 2.7567392444610594
mean time: 2.056328535079956
Pipeline stage StressChecker completed in 11.82s
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 0.71s
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 0.99s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v80 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 3291.70s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v80 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v80 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v80 status is now torndown due to DeploymentManager action