junhua024-chai-02-full-_15178

developer_uid: junhua024
submission_id: junhua024-chai-02-full-_15178_v1
model_name: junhua024-chai-02-full-_15178_v1
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T12:01:53+00:00
num_battles: 5715
num_wins: 2795
celo_rating: 1275.48
family_friendly_score: 0.358
family_friendly_standard_error: 0.006779911503847229
submission_type: basic
model_repo: junhua024/chai_02_full_02_0191
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': 0.6612000228571978, 'latency_mean': 1.5122989773750306, 'latency_p50': 1.5084285736083984, 'latency_p90': 1.658412218093872}, {'batch_size': 3, 'throughput': 1.1213982166651875, 'latency_mean': 2.6593665897846224, 'latency_p50': 2.6346418857574463, 'latency_p90': 2.956619572639465}, {'batch_size': 5, 'throughput': 1.3013981481016208, 'latency_mean': 3.826646432876587, 'latency_p50': 3.851706027984619, 'latency_p90': 4.299858093261719}, {'batch_size': 6, 'throughput': 1.3533496206867257, 'latency_mean': 4.406815763711929, 'latency_p50': 4.401798963546753, 'latency_p90': 4.9235203742980955}, {'batch_size': 8, 'throughput': 1.4062280518052406, 'latency_mean': 5.653228628635406, 'latency_p50': 5.65766167640686, 'latency_p90': 6.350375771522522}, {'batch_size': 10, 'throughput': 1.439609359662999, 'latency_mean': 6.888651922941208, 'latency_p50': 6.880934000015259, 'latency_p90': 7.803817319869995}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-_15178_v1
is_internal_developer: False
language_model: junhua024/chai_02_full_02_0191
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-07-24
win_ratio: 0.4890638670166229
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-02-full-15178-v1-mkmlizer
Waiting for job on junhua024-chai-02-full-15178-v1-mkmlizer to finish
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junhua024-chai-02-full-15178-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-15178-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-15178-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-15178-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-15178-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-15178-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-15178-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-15178-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-15178-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-15178-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-15178-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-15178-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-15178-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-15178-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-15178-v1-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-15178-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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`
Retrying (%r) after connection broken by '%r': %s
junhua024-chai-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-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-02-full-15178-v1-mkmlizer: Downloaded to shared memory in 147.634s
junhua024-chai-02-full-15178-v1-mkmlizer: Checking if junhua024/chai_02_full_02_0191 already exists in ChaiML
junhua024-chai-02-full-15178-v1-mkmlizer: Creating repo ChaiML/chai_02_full_02_0191 and uploading /tmp/tmp5c1zxmwk to it
junhua024-chai-02-full-15178-v1-mkmlizer: 
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junhua024-chai-02-full-15178-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp5c1zxmwk, device:0
junhua024-chai-02-full-15178-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-15178-v1-mkmlizer: quantized model in 164.809s
junhua024-chai-02-full-15178-v1-mkmlizer: Processed model junhua024/chai_02_full_02_0191 in 423.493s
junhua024-chai-02-full-15178-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-15178-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-15178-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-15178-v1/nvidia
junhua024-chai-02-full-15178-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-15178-v1/nvidia/config.json
junhua024-chai-02-full-15178-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-15178-v1/nvidia/special_tokens_map.json
junhua024-chai-02-full-15178-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-15178-v1/nvidia/tokenizer_config.json
junhua024-chai-02-full-15178-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-15178-v1/nvidia/tokenizer.json
junhua024-chai-02-full-15178-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-15178-v1/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-15178-v1-mkmlizer completed after 447.39s with status: succeeded
Stopping job with name junhua024-chai-02-full-15178-v1-mkmlizer
Pipeline stage MKMLizer completed in 448.03s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.59s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-15178-v1
Waiting for inference service junhua024-chai-02-full-15178-v1 to be ready
Inference service junhua024-chai-02-full-15178-v1 ready after 171.49571132659912s
Pipeline stage MKMLDeployer completed in 172.06s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3985166549682617s
Received healthy response to inference request in 3.3463339805603027s
Received healthy response to inference request in 1.7202224731445312s
Received healthy response to inference request in 1.5781629085540771s
Received healthy response to inference request in 1.7633750438690186s
5 requests
0 failed requests
5th percentile: 1.606574821472168
10th percentile: 1.6349867343902589
20th percentile: 1.6918105602264404
30th percentile: 1.7288529872894287
40th percentile: 1.7461140155792236
50th percentile: 1.7633750438690186
60th percentile: 2.017431688308716
70th percentile: 2.271488332748413
80th percentile: 2.58808012008667
90th percentile: 2.9672070503234864
95th percentile: 3.1567705154418944
99th percentile: 3.3084212875366212
mean time: 2.1613222122192384
Pipeline stage StressChecker completed in 12.91s
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 0.77s
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 0.74s
Shutdown handler de-registered
junhua024-chai-02-full-_15178_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service junhua024-chai-02-full-15178-v1-profiler
Waiting for inference service junhua024-chai-02-full-15178-v1-profiler to be ready
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 3180.42s
Shutdown handler de-registered
junhua024-chai-02-full-_15178_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-_15178_v1 status is now torndown due to DeploymentManager action