junhua024-chai-1-full-066126

developer_uid: junhua024
submission_id: junhua024-chai-1-full-066126_v50
model_name: junhua024-chai-1-full-066126_v50
model_group: junhua024/chai-1-full-06
status: torndown
timestamp: 2025-07-15T06:56:06+00:00
num_battles: 8067
num_wins: 3884
celo_rating: 1275.54
family_friendly_score: 0.5488
family_friendly_standard_error: 0.007037308576437443
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': 0.5893096545849821, 'latency_mean': 1.6967952811717988, 'latency_p50': 1.6954761743545532, 'latency_p90': 1.8827745914459229}, {'batch_size': 3, 'throughput': 1.0612734415945748, 'latency_mean': 2.815141748189926, 'latency_p50': 2.8050742149353027, 'latency_p90': 3.1310146331787108}, {'batch_size': 5, 'throughput': 1.2566674104006585, 'latency_mean': 3.9623889863491057, 'latency_p50': 4.003354549407959, 'latency_p90': 4.463896465301514}, {'batch_size': 6, 'throughput': 1.3255980841483508, 'latency_mean': 4.496714527606964, 'latency_p50': 4.5191792249679565, 'latency_p90': 5.03736138343811}, {'batch_size': 8, 'throughput': 1.3844661165097847, 'latency_mean': 5.7374896514415745, 'latency_p50': 5.723953723907471, 'latency_p90': 6.511409044265747}, {'batch_size': 10, 'throughput': 1.4115551263805648, 'latency_mean': 7.019089457988739, 'latency_p50': 7.026289224624634, 'latency_p90': 7.952856993675232}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-1-full-066126_v50
is_internal_developer: False
language_model: junhua024/chai-1-full-066126
model_size: 13B
ranking_group: single
throughput_3p7s: 1.23
us_pacific_date: 2025-07-14
win_ratio: 0.48146770794595267
generation_params: {'temperature': 1.0, 'top_p': 0.86, '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-v50-mkmlizer
Waiting for job on junhua024-chai-1-full-066126-v50-mkmlizer to finish
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junhua024-chai-1-full-066126-v50-mkmlizer: ║                                                                     ║
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junhua024-chai-1-full-066126-v50-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-1-full-066126-v50-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v50-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-1-full-066126-v50-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-1-full-066126-v50-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-1-full-066126-v50-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-1-full-066126-v50-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v50-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-1-full-066126-v50-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-1-full-066126-v50-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v50-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-1-full-066126-v50-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-1-full-066126-v50-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-1-full-066126-v50-mkmlizer: ║                                                                     ║
junhua024-chai-1-full-066126-v50-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-1-full-066126-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-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-v50-mkmlizer: Downloaded to shared memory in 84.203s
junhua024-chai-1-full-066126-v50-mkmlizer: Checking if junhua024/chai-1-full-066126 already exists in ChaiML
junhua024-chai-1-full-066126-v50-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8_isz7xg, device:0
junhua024-chai-1-full-066126-v50-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-1-full-066126-v50-mkmlizer: quantized model in 31.866s
junhua024-chai-1-full-066126-v50-mkmlizer: Processed model junhua024/chai-1-full-066126 in 116.183s
junhua024-chai-1-full-066126-v50-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-1-full-066126-v50-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-1-full-066126-v50-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v50/nvidia
junhua024-chai-1-full-066126-v50-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v50/nvidia/config.json
junhua024-chai-1-full-066126-v50-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v50/nvidia/special_tokens_map.json
junhua024-chai-1-full-066126-v50-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v50/nvidia/tokenizer_config.json
junhua024-chai-1-full-066126-v50-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v50/nvidia/tokenizer.json
junhua024-chai-1-full-066126-v50-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-1-full-066126-v50/nvidia/flywheel_model.0.safetensors
junhua024-chai-1-full-066126-v50-mkmlizer: 
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Job junhua024-chai-1-full-066126-v50-mkmlizer completed after 137.81s with status: succeeded
Stopping job with name junhua024-chai-1-full-066126-v50-mkmlizer
Pipeline stage MKMLizer completed in 138.30s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.45s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-1-full-066126-v50
Waiting for inference service junhua024-chai-1-full-066126-v50 to be ready
Failed to get response for submission junhua024-chai-1-full-066126_v47: HTTPConnectionPool(host='junhua024-chai-1-full-066126-v47-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-1-full-066126_v47: HTTPConnectionPool(host='junhua024-chai-1-full-066126-v47-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-1-full-066126_v47: HTTPConnectionPool(host='junhua024-chai-1-full-066126-v47-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-1-full-066126-v50 ready after 231.4675748348236s
Pipeline stage MKMLDeployer completed in 232.05s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2394468784332275s
Received healthy response to inference request in 1.7675092220306396s
Received healthy response to inference request in 1.7036876678466797s
Received healthy response to inference request in 1.6259195804595947s
Received healthy response to inference request in 1.7166492938995361s
5 requests
0 failed requests
5th percentile: 1.6414731979370116
10th percentile: 1.6570268154144288
20th percentile: 1.6881340503692628
30th percentile: 1.706279993057251
40th percentile: 1.7114646434783936
50th percentile: 1.7166492938995361
60th percentile: 1.7369932651519775
70th percentile: 1.7573372364044189
80th percentile: 1.8618967533111572
90th percentile: 2.0506718158721924
95th percentile: 2.14505934715271
99th percentile: 2.220569372177124
mean time: 1.8106425285339356
Pipeline stage StressChecker completed in 10.74s
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 0.68s
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 1.14s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v50 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 5022.86s
Shutdown handler de-registered
junhua024-chai-1-full-066126_v50 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-1-full-066126_v50 status is now torndown due to DeploymentManager action
junhua024-chai-1-full-066126_v50 status is now torndown due to DeploymentManager action