developer_uid: junhua024
submission_id: junhua024-chai-12-full-06-06_v2
model_name: junhua024-chai-12-full-06-06_v2
model_group: junhua024/chai_12_full_0
status: torndown
timestamp: 2025-07-27T09:38:19+00:00
num_battles: 5193
num_wins: 1544
celo_rating: 1098.77
family_friendly_score: 0.7006
family_friendly_standard_error: 0.006477030801223659
submission_type: basic
model_repo: junhua024/chai_12_full_06_06
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-12-full-06-06_v2
is_internal_developer: False
language_model: junhua024/chai_12_full_06_06
model_size: 13B
ranking_group: single
us_pacific_date: 2025-07-27
win_ratio: 0.2973233198536491
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
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Running pipeline stage MKMLizer
Starting job with name junhua024-chai-12-full-06-06-v2-mkmlizer
Waiting for job on junhua024-chai-12-full-06-06-v2-mkmlizer to finish
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junhua024-chai-12-full-06-06-v2-mkmlizer: ║ ║
junhua024-chai-12-full-06-06-v2-mkmlizer: ║ Version: 0.29.15 ║
junhua024-chai-12-full-06-06-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
junhua024-chai-12-full-06-06-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
junhua024-chai-12-full-06-06-v2-mkmlizer: ║ https://mk1.ai ║
junhua024-chai-12-full-06-06-v2-mkmlizer: ║ ║
junhua024-chai-12-full-06-06-v2-mkmlizer: ║ The license key for the current software has been verified as ║
junhua024-chai-12-full-06-06-v2-mkmlizer: ║ belonging to: ║
junhua024-chai-12-full-06-06-v2-mkmlizer: ║ ║
junhua024-chai-12-full-06-06-v2-mkmlizer: ║ Chai Research Corp. ║
junhua024-chai-12-full-06-06-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
junhua024-chai-12-full-06-06-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
junhua024-chai-12-full-06-06-v2-mkmlizer: ║ ║
junhua024-chai-12-full-06-06-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-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-06-06-v2-mkmlizer: Downloaded to shared memory in 112.974s
junhua024-chai-12-full-06-06-v2-mkmlizer: Checking if junhua024/chai_12_full_06_06 already exists in ChaiML
junhua024-chai-12-full-06-06-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpxbzn1jus, device:0
junhua024-chai-12-full-06-06-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Unable to record family friendly update due to error: HTTPConnectionPool(host='chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x7fe2e025ccd0>, 'Connection to chaiml-nemo-guard-merged-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com timed out. (connect timeout=12.0)'))
junhua024-chai-12-full-06-06-v2-mkmlizer: quantized model in 165.098s
junhua024-chai-12-full-06-06-v2-mkmlizer: Processed model junhua024/chai_12_full_06_06 in 278.147s
junhua024-chai-12-full-06-06-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-06-06-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-06-06-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-06-06-v2/nvidia
junhua024-chai-12-full-06-06-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-06-v2/nvidia/special_tokens_map.json
junhua024-chai-12-full-06-06-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-06-v2/nvidia/config.json
junhua024-chai-12-full-06-06-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-06-v2/nvidia/tokenizer_config.json
junhua024-chai-12-full-06-06-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-12-full-06-06-v2/nvidia/tokenizer.json
junhua024-chai-12-full-06-06-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-06-06-v2/nvidia/flywheel_model.0.safetensors
Job junhua024-chai-12-full-06-06-v2-mkmlizer completed after 306.86s with status: succeeded
Stopping job with name junhua024-chai-12-full-06-06-v2-mkmlizer
Pipeline stage MKMLizer completed in 307.88s
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Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-12-full-06-06-v2
Waiting for inference service junhua024-chai-12-full-06-06-v2 to be ready
Failed to get response for submission chaiml-gy-exp236-sft-gy_42234_v1: HTTPConnectionPool(host='chaiml-gy-exp236-sft-gy-42234-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service junhua024-chai-12-full-06-06-v2 ready after 191.3829107284546s
Pipeline stage MKMLDeployer completed in 192.16s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.1027450561523438s
Received healthy response to inference request in 1.3953170776367188s
Received healthy response to inference request in 0.3192265033721924s
Received healthy response to inference request in 1.7883327007293701s
Received healthy response to inference request in 2.616182804107666s
5 requests
0 failed requests
5th percentile: 0.5344446182250977
10th percentile: 0.749662733078003
20th percentile: 1.1800989627838134
30th percentile: 1.4739202022552491
40th percentile: 1.6311264514923096
50th percentile: 1.7883327007293701
60th percentile: 2.1194727420806885
70th percentile: 2.450612783432007
80th percentile: 2.7134952545166016
90th percentile: 2.9081201553344727
95th percentile: 3.005432605743408
99th percentile: 3.0832825660705567
mean time: 1.8443608283996582
Pipeline stage StressChecker completed in 11.01s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.71s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.69s
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junhua024-chai-12-full-06-06_v2 status is now deployed due to DeploymentManager action
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Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Creating inference service junhua024-chai-12-full-06-06-v2-profiler
Waiting for inference service junhua024-chai-12-full-06-06-v2-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2942.06s
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junhua024-chai-12-full-06-06_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-06-06_v2 status is now torndown due to DeploymentManager action