junhua024-chai-02-full-02-016

developer_uid: junhua024
submission_id: junhua024-chai-02-full-02-016_v2
model_name: junhua024-chai-02-full-02-016_v2
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-23T13:14:15+00:00
num_battles: 6616
num_wins: 2925
celo_rating: 1243.32
family_friendly_score: 0.5804
family_friendly_standard_error: 0.006979052084631551
submission_type: basic
model_repo: junhua024/chai_02_full_02_016
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': 0.6663586847873383, 'latency_mean': 1.5005860686302186, 'latency_p50': 1.4969464540481567, 'latency_p90': 1.6724674224853515}, {'batch_size': 3, 'throughput': 1.1261980247977437, 'latency_mean': 2.658624600172043, 'latency_p50': 2.6385087966918945, 'latency_p90': 2.9665996074676513}, {'batch_size': 5, 'throughput': 1.3040839811995937, 'latency_mean': 3.8141731035709383, 'latency_p50': 3.84189772605896, 'latency_p90': 4.268204236030579}, {'batch_size': 6, 'throughput': 1.3516553228525303, 'latency_mean': 4.421349238157273, 'latency_p50': 4.42325496673584, 'latency_p90': 4.974574899673462}, {'batch_size': 8, 'throughput': 1.3987590204997122, 'latency_mean': 5.687797359228134, 'latency_p50': 5.710302472114563, 'latency_p90': 6.374705457687378}, {'batch_size': 10, 'throughput': 1.4372548035209314, 'latency_mean': 6.903907091617584, 'latency_p50': 6.939567923545837, 'latency_p90': 7.694283390045166}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full-02-016_v2
is_internal_developer: False
language_model: junhua024/chai_02_full_02_016
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-07-23
win_ratio: 0.4421100362756953
generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.1, '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-02-016-v2-mkmlizer
Waiting for job on junhua024-chai-02-full-02-016-v2-mkmlizer to finish
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junhua024-chai-02-full-02-016-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-02-016-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-02-016-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-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-02-full-02-016-v2-mkmlizer: Downloaded to shared memory in 249.393s
junhua024-chai-02-full-02-016-v2-mkmlizer: Checking if junhua024/chai_02_full_02_016 already exists in ChaiML
junhua024-chai-02-full-02-016-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpmnpt73dq, device:0
junhua024-chai-02-full-02-016-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-02-016-v2-mkmlizer: quantized model in 164.369s
junhua024-chai-02-full-02-016-v2-mkmlizer: Processed model junhua024/chai_02_full_02_016 in 413.890s
junhua024-chai-02-full-02-016-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-02-016-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-02-016-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-02-016-v2/nvidia
junhua024-chai-02-full-02-016-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-016-v2/nvidia/config.json
junhua024-chai-02-full-02-016-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-016-v2/nvidia/special_tokens_map.json
junhua024-chai-02-full-02-016-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-016-v2/nvidia/tokenizer_config.json
junhua024-chai-02-full-02-016-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-02-016-v2/nvidia/tokenizer.json
junhua024-chai-02-full-02-016-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-02-016-v2/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-02-016-v2-mkmlizer: 
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Job junhua024-chai-02-full-02-016-v2-mkmlizer completed after 440.38s with status: succeeded
Stopping job with name junhua024-chai-02-full-02-016-v2-mkmlizer
Pipeline stage MKMLizer completed in 440.92s
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-02-full-02-016-v2
Waiting for inference service junhua024-chai-02-full-02-016-v2 to be ready
Inference service junhua024-chai-02-full-02-016-v2 ready after 180.68044662475586s
Pipeline stage MKMLDeployer completed in 181.54s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4501707553863525s
Received healthy response to inference request in 2.053764581680298s
Received healthy response to inference request in 1.8917207717895508s
Received healthy response to inference request in 2.241511583328247s
Received healthy response to inference request in 1.6170220375061035s
5 requests
0 failed requests
5th percentile: 1.671961784362793
10th percentile: 1.7269015312194824
20th percentile: 1.8367810249328613
30th percentile: 1.9241295337677002
40th percentile: 1.988947057723999
50th percentile: 2.053764581680298
60th percentile: 2.1288633823394774
70th percentile: 2.2039621829986573
80th percentile: 2.283243417739868
90th percentile: 2.3667070865631104
95th percentile: 2.4084389209747314
99th percentile: 2.4418243885040285
mean time: 2.0508379459381105
Pipeline stage StressChecker completed in 12.22s
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-02-full-02-016_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 2872.84s
Shutdown handler de-registered
junhua024-chai-02-full-02-016_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full-02-016_v2 status is now torndown due to DeploymentManager action