junhua024-chai-12-full-19

developer_uid: junhua024
submission_id: junhua024-chai-12-full-19_v2
model_name: junhua024-chai-12-full-19_v2
model_group: junhua024/chai_12_full_1
status: torndown
timestamp: 2025-07-28T08:47:34+00:00
num_battles: 6355
num_wins: 3398
celo_rating: 1283.19
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: junhua024/chai_12_full_19
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
display_name: junhua024-chai-12-full-19_v2
is_internal_developer: False
language_model: junhua024/chai_12_full_19
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5346970889063729
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity. Each of your responses should be fewer than 64 tokens long.", '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-12-full-19-v2-mkmlizer
Waiting for job on junhua024-chai-12-full-19-v2-mkmlizer to finish
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junhua024-chai-12-full-19-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-19-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-19-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-19-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-19-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-19-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-19-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-19-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-19-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-19-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-19-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-19-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-19-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-19-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-19-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-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-12-full-19-v2-mkmlizer: Downloaded to shared memory in 120.912s
junhua024-chai-12-full-19-v2-mkmlizer: Checking if junhua024/chai_12_full_19 already exists in ChaiML
junhua024-chai-12-full-19-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpzutp6hld, device:0
junhua024-chai-12-full-19-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-19-v2-mkmlizer: quantized model in 163.822s
junhua024-chai-12-full-19-v2-mkmlizer: Processed model junhua024/chai_12_full_19 in 284.823s
junhua024-chai-12-full-19-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-19-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-19-v2/nvidia
junhua024-chai-12-full-19-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-19-v2/nvidia/config.json
junhua024-chai-12-full-19-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-19-v2/nvidia/special_tokens_map.json
junhua024-chai-12-full-19-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-19-v2/nvidia/tokenizer_config.json
junhua024-chai-12-full-19-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-19-v2/nvidia/tokenizer.json
junhua024-chai-12-full-19-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-19-v2/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-19-v2-mkmlizer completed after 303.9s with status: succeeded
Stopping job with name junhua024-chai-12-full-19-v2-mkmlizer
Pipeline stage MKMLizer completed in 304.41s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-12-full-19-v2
Waiting for inference service junhua024-chai-12-full-19-v2 to be ready
Failed to get response for submission junhua024-chai-19cl-full-0022_v7: HTTPConnectionPool(host='junhua024-chai-19cl-full-0022-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-19cl-full-0022_v7: HTTPConnectionPool(host='junhua024-chai-19cl-full-0022-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-19cl-full-0022_v7: HTTPConnectionPool(host='junhua024-chai-19cl-full-0022-v7-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission junhua024-chai-19cl100-_66731_v1: HTTPConnectionPool(host='junhua024-chai-19cl100-66731-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Tearing down inference service junhua024-chai-12-full-19-v2
%s, retrying in %s seconds...
Creating inference service junhua024-chai-12-full-19-v2
Waiting for inference service junhua024-chai-12-full-19-v2 to be ready
Failed to get response for submission junhua024-chai-19cl100-_66731_v1: HTTPConnectionPool(host='junhua024-chai-19cl100-66731-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-12-full-19-v2 ready after 241.245285987854s
Pipeline stage MKMLDeployer completed in 846.49s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5175817012786865s
Received healthy response to inference request in 2.0227296352386475s
Received healthy response to inference request in 2.891495943069458s
Received healthy response to inference request in 3.0361833572387695s
Received healthy response to inference request in 4.245348691940308s
5 requests
0 failed requests
5th percentile: 2.1217000484466553
10th percentile: 2.220670461654663
20th percentile: 2.4186112880706787
30th percentile: 2.592364549636841
40th percentile: 2.7419302463531494
50th percentile: 2.891495943069458
60th percentile: 2.9493709087371824
70th percentile: 3.0072458744049073
80th percentile: 3.2780164241790772
90th percentile: 3.7616825580596926
95th percentile: 4.0035156249999995
99th percentile: 4.196982078552246
mean time: 2.9426678657531737
Pipeline stage StressChecker completed in 17.56s
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 0.78s
Shutdown handler de-registered
junhua024-chai-12-full-19_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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
Shutdown handler de-registered
junhua024-chai-12-full-19_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-19_v2 status is now torndown due to DeploymentManager action