junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v9
model_name: junhua024-chai-1-full-066126_v9
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-14T03:46:58+00:00
num_battles: 7684
num_wins: 3701
celo_rating: 1273.39
family_friendly_score: 0.5548
family_friendly_standard_error: 0.007028470103799261
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': 0.5934846540555526, 'latency_mean': 1.6848272633552552, 'latency_p50': 1.6769590377807617, 'latency_p90': 1.8590877294540404}, {'batch_size': 3, 'throughput': 1.0874157714577732, 'latency_mean': 2.753111788034439, 'latency_p50': 2.7591731548309326, 'latency_p90': 3.0482176303863526}, {'batch_size': 5, 'throughput': 1.293500650534481, 'latency_mean': 3.849763664007187, 'latency_p50': 3.8855570554733276, 'latency_p90': 4.277627778053284}, {'batch_size': 6, 'throughput': 1.3666029283620948, 'latency_mean': 4.359648498296738, 'latency_p50': 4.383305668830872, 'latency_p90': 4.932702374458313}, {'batch_size': 8, 'throughput': 1.4253130974204022, 'latency_mean': 5.577025307416916, 'latency_p50': 5.5943533182144165, 'latency_p90': 6.304966592788697}, {'batch_size': 10, 'throughput': 1.4514769650811477, 'latency_mean': 6.836669164896011, 'latency_p50': 6.834845662117004, 'latency_p90': 7.691032123565674}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v9
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.28
us_pacific_date: 2025-07-13
win_ratio: 0.4816501821967725
generation_params: {'temperature': 1.05, 'top_p': 1.0, '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-v9-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v9-mkmlizer to finish
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junhua024-chai-1-full-066126-v9-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v9-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v9-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v9-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v9-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v9-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v9-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v9-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v9-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v9-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v9-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v9-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v9-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v9-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v9-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-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-v9-mkmlizer: Downloaded to shared memory in 149.911s
junhua024-chai-1-full-066126-v9-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v9-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2ir2nu38, device:0
junhua024-chai-1-full-066126-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v9-mkmlizer: quantized model in 39.144s
junhua024-chai-1-full-066126-v9-mkmlizer: Processed model junhua024/chai-1-full-066126 in 189.147s
junhua024-chai-1-full-066126-v9-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v9/nvidia
junhua024-chai-1-full-066126-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v9/nvidia/config.json
junhua024-chai-1-full-066126-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v9/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v9/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v9/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v9/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v9-mkmlizer: 
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Job junhua024-chai-1-full-066126-v9-mkmlizer completed after 220.05s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v9-mkmlizer
Pipeline stage MKMLizer completed in 220.61s
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-v9
Waiting for inference service junhua024-chai-1-full-066126-v9 to be ready
Inference service junhua024-chai-1-full-066126-v9 ready after 220.77820754051208s
Pipeline stage MKMLDeployer completed in 221.34s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6822476387023926s
Received healthy response to inference request in 1.5965723991394043s
Received healthy response to inference request in 1.6905434131622314s
Received healthy response to inference request in 1.5408742427825928s
Received healthy response to inference request in 1.61869478225708s
5 requests
0 failed requests
5th percentile: 1.552013874053955
10th percentile: 1.5631535053253174
20th percentile: 1.585432767868042
30th percentile: 1.6009968757629394
40th percentile: 1.6098458290100097
50th percentile: 1.61869478225708
60th percentile: 1.6474342346191406
70th percentile: 1.6761736869812012
80th percentile: 1.8888842582702638
90th percentile: 2.285565948486328
95th percentile: 2.48390679359436
99th percentile: 2.6425794696807863
mean time: 1.8257864952087401
Pipeline stage StressChecker completed in 10.90s
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 0.81s
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 0.83s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v9 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5279.11s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v9 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v9 status is now torndown due to DeploymentManager action