junhua024-chai-19nn5

developer_uid: junhua024
submission_id: junhua024-chai-19nn5_v2
model_name: junhua024-chai-19nn5_v2
model_group: junhua024/chai_19nn5
status: torndown
timestamp: 2025-07-28T20:40:48+00:00
num_battles: 5973
num_wins: 3130
celo_rating: 1282.44
family_friendly_score: 0.5167999999999999
family_friendly_standard_error: 0.00706707520831638
submission_type: basic
model_repo: junhua024/chai_19nn5
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: junhua024-chai-19nn5_v2
is_internal_developer: False
language_model: junhua024/chai_19nn5
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5240247781684246
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, '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-19nn5-v2-mkmlizer
Waiting for job on junhua024-chai-19nn5-v2-mkmlizer to finish
junhua024-chai-19nn5-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
junhua024-chai-19nn5-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-19nn5-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-19nn5-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19nn5-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19nn5-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19nn5-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19nn5-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19nn5-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19nn5-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19nn5-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19nn5-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19nn5-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19nn5-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19nn5-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19nn5-v2-mkmlizer: ║                                                                     ║
junhua024-chai-19nn5-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-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-19nn5-v2-mkmlizer: Downloaded to shared memory in 136.026s
junhua024-chai-19nn5-v2-mkmlizer: Checking if junhua024/chai_19nn5 already exists in ChaiML
junhua024-chai-19nn5-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpd3mldy0w, device:0
junhua024-chai-19nn5-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Unable to record family friendly update due to error: Invalid JSON input: JSON must contain 'User Safety' and 'Response Safety' fields
Failed to get response for submission junhua024-chai-12-full-20_v5: HTTPConnectionPool(host='junhua024-chai-12-full-20-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-19nn5-v2-mkmlizer: quantized model in 162.633s
junhua024-chai-19nn5-v2-mkmlizer: Processed model junhua024/chai_19nn5 in 298.744s
junhua024-chai-19nn5-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19nn5-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19nn5-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19nn5-v2/nvidia
junhua024-chai-19nn5-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19nn5-v2/nvidia/config.json
junhua024-chai-19nn5-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19nn5-v2/nvidia/special_tokens_map.json
junhua024-chai-19nn5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19nn5-v2/nvidia/tokenizer_config.json
junhua024-chai-19nn5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19nn5-v2/nvidia/tokenizer.json
junhua024-chai-19nn5-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19nn5-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-19nn5-v2-mkmlizer: 
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Failed to get response for submission junhua024-chai-12-full-20-2_v1: HTTPConnectionPool(host='junhua024-chai-12-full-20-2-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Job junhua024-chai-19nn5-v2-mkmlizer completed after 325.98s with status: succeeded
Stopping job with name junhua024-chai-19nn5-v2-mkmlizer
Pipeline stage MKMLizer completed in 326.76s
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-19nn5-v2
Waiting for inference service junhua024-chai-19nn5-v2 to be ready
Failed to get response for submission junhua024-chai-12-full-20-2_v1: HTTPConnectionPool(host='junhua024-chai-12-full-20-2-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-gy-exp241-sft-gy-_3670_v1: HTTPConnectionPool(host='chaiml-gy-exp241-sft-gy-3670-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-19nn5-v2 ready after 231.07491207122803s
Pipeline stage MKMLDeployer completed in 231.63s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.37070369720459s
Received healthy response to inference request in 1.4729323387145996s
Received healthy response to inference request in 2.3263301849365234s
Received healthy response to inference request in 2.576706647872925s
Received healthy response to inference request in 1.691246509552002s
5 requests
0 failed requests
5th percentile: 1.5165951728820801
10th percentile: 1.5602580070495606
20th percentile: 1.6475836753845214
30th percentile: 1.8182632446289062
40th percentile: 2.072296714782715
50th percentile: 2.3263301849365234
60th percentile: 2.426480770111084
70th percentile: 2.5266313552856445
80th percentile: 2.735506057739258
90th percentile: 3.053104877471924
95th percentile: 3.211904287338257
99th percentile: 3.3389438152313233
mean time: 2.2875838756561278
Pipeline stage StressChecker completed in 13.01s
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 0.75s
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-19nn5_v2 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 3402.84s
Shutdown handler de-registered
junhua024-chai-19nn5_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19nn5_v2 status is now torndown due to DeploymentManager action