developer_uid: junhua024
submission_id: junhua024-chai-12-full-22-2_v1
model_name: junhua024-chai-12-full-22-2_v1
model_group: junhua024/chai_12_full_2
status: torndown
timestamp: 2025-07-29T02:45:24+00:00
num_battles: 6925
num_wins: 3873
celo_rating: 1303.16
family_friendly_score: 0.5304
family_friendly_standard_error: 0.007057986115033097
submission_type: basic
model_repo: junhua024/chai_12_full_22_2
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-22-2_v1
is_internal_developer: False
language_model: junhua024/chai_12_full_22_2
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-28
win_ratio: 0.5592779783393502
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.1, '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-22-2-v1-mkmlizer
Waiting for job on junhua024-chai-12-full-22-2-v1-mkmlizer to finish
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junhua024-chai-12-full-22-2-v1-mkmlizer: ║ ║
junhua024-chai-12-full-22-2-v1-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-12-full-22-2-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-12-full-22-2-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-12-full-22-2-v1-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-12-full-22-2-v1-mkmlizer: ║ ║
junhua024-chai-12-full-22-2-v1-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-12-full-22-2-v1-mkmlizer: ║ belonging to: ║
junhua024-chai-12-full-22-2-v1-mkmlizer: ║ ║
junhua024-chai-12-full-22-2-v1-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-12-full-22-2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-12-full-22-2-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-12-full-22-2-v1-mkmlizer: ║ ║
junhua024-chai-12-full-22-2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-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-22-2-v1-mkmlizer: Downloaded to shared memory in 160.935s
junhua024-chai-12-full-22-2-v1-mkmlizer: Checking if junhua024/chai_12_full_22_2 already exists in ChaiML
junhua024-chai-12-full-22-2-v1-mkmlizer: Creating repo ChaiML/chai_12_full_22_2 and uploading /tmp/tmpegujndih to it
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junhua024-chai-12-full-22-2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpegujndih, device:0
junhua024-chai-12-full-22-2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-22-2-v1-mkmlizer: quantized model in 159.632s
junhua024-chai-12-full-22-2-v1-mkmlizer: Processed model junhua024/chai_12_full_22_2 in 397.781s
junhua024-chai-12-full-22-2-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-22-2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-22-2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-22-2-v1/nvidia
junhua024-chai-12-full-22-2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-2-v1/nvidia/config.json
junhua024-chai-12-full-22-2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-2-v1/nvidia/special_tokens_map.json
junhua024-chai-12-full-22-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-2-v1/nvidia/tokenizer_config.json
junhua024-chai-12-full-22-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-22-2-v1/nvidia/tokenizer.json
junhua024-chai-12-full-22-2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-22-2-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-22-2-v1-mkmlizer completed after 427.4s with status: succeeded
Stopping job with name junhua024-chai-12-full-22-2-v1-mkmlizer
Pipeline stage MKMLizer completed in 427.90s
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-12-full-22-2-v1
Waiting for inference service junhua024-chai-12-full-22-2-v1 to be ready
Inference service junhua024-chai-12-full-22-2-v1 ready after 241.13813042640686s
Pipeline stage MKMLDeployer completed in 241.67s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.239734172821045s
Received healthy response to inference request in 2.629312515258789s
Received healthy response to inference request in 1.5443382263183594s
Received healthy response to inference request in 1.4915788173675537s
Received healthy response to inference request in 1.6597445011138916s
5 requests
0 failed requests
5th percentile: 1.5021306991577148
10th percentile: 1.5126825809478759
20th percentile: 1.5337863445281983
30th percentile: 1.5674194812774658
40th percentile: 1.6135819911956788
50th percentile: 1.6597445011138916
60th percentile: 1.891740369796753
70th percentile: 2.1237362384796143
80th percentile: 2.3176498413085938
90th percentile: 2.4734811782836914
95th percentile: 2.5513968467712402
99th percentile: 2.613729381561279
mean time: 1.9129416465759277
Pipeline stage StressChecker completed in 10.92s
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 0.68s
Shutdown handler de-registered
junhua024-chai-12-full-22-2_v1 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 3283.69s
Shutdown handler de-registered
junhua024-chai-12-full-22-2_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-22-2_v1 status is now torndown due to DeploymentManager action