junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v48
model_name: junhua024-chai-02-full_54657_v48
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-25T15:10:35+00:00
num_battles: 7704
num_wins: 3900
celo_rating: 1288.5
family_friendly_score: 0.4182
family_friendly_standard_error: 0.006975797588806602
submission_type: basic
model_repo: junhua024/chai_02_full_02_019
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.535302643468141, 'latency_mean': 1.8679832601547242, 'latency_p50': 1.8828121423721313, 'latency_p90': 2.020278573036194}, {'batch_size': 2, 'throughput': 0.7091562597884717, 'latency_mean': 2.8160559272766115, 'latency_p50': 2.8269572257995605, 'latency_p90': 3.0458419561386108}, {'batch_size': 3, 'throughput': 0.806890911452941, 'latency_mean': 3.713806930780411, 'latency_p50': 3.707878828048706, 'latency_p90': 4.1676992893219}, {'batch_size': 4, 'throughput': 0.8650625052077361, 'latency_mean': 4.608713119029999, 'latency_p50': 4.607625484466553, 'latency_p90': 5.0401033639907835}, {'batch_size': 5, 'throughput': 0.891067240964405, 'latency_mean': 5.592301765680313, 'latency_p50': 5.596197485923767, 'latency_p90': 6.3248772621154785}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v48
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.81
us_pacific_date: 2025-07-25
win_ratio: 0.5062305295950156
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-02-full-54657-v48-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v48-mkmlizer to finish
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junhua024-chai-02-full-54657-v48-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v48-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v48-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v48-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v48-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v48-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v48-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v48-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v48-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v48-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v48-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v48-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v48-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v48-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v48-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v48-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-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-54657-v48-mkmlizer: Downloaded to shared memory in 73.804s
junhua024-chai-02-full-54657-v48-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v48-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp9m6gtsvw, device:0
junhua024-chai-02-full-54657-v48-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-54657-v48-mkmlizer: quantized model in 161.217s
junhua024-chai-02-full-54657-v48-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 235.096s
junhua024-chai-02-full-54657-v48-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v48-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v48-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v48/nvidia
junhua024-chai-02-full-54657-v48-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v48/nvidia/config.json
junhua024-chai-02-full-54657-v48-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v48/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v48-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v48/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v48-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v48/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v48-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v48/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-54657-v48-mkmlizer: 
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Job junhua024-chai-02-full-54657-v48-mkmlizer completed after 262.0s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v48-mkmlizer
Pipeline stage MKMLizer completed in 262.54s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.29s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-54657-v48
Waiting for inference service junhua024-chai-02-full-54657-v48 to be ready
Inference service junhua024-chai-02-full-54657-v48 ready after 191.2240047454834s
Pipeline stage MKMLDeployer completed in 191.91s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.170985460281372s
Received healthy response to inference request in 6.6007585525512695s
Received healthy response to inference request in 1.3980698585510254s
Received healthy response to inference request in 1.2076282501220703s
Received healthy response to inference request in 1.2670528888702393s
5 requests
0 failed requests
5th percentile: 1.219513177871704
10th percentile: 1.231398105621338
20th percentile: 1.2551679611206055
30th percentile: 1.2932562828063965
40th percentile: 1.345663070678711
50th percentile: 1.3980698585510254
60th percentile: 1.7072360992431639
70th percentile: 2.0164023399353024
80th percentile: 3.0569400787353525
90th percentile: 4.8288493156433105
95th percentile: 5.714803934097289
99th percentile: 6.423567628860473
mean time: 2.528899002075195
Pipeline stage StressChecker completed in 14.37s
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 0.78s
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_54657_v48 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
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
Pipeline stage OfflineFamilyFriendlyScorer completed in 5575.09s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v48 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v48 status is now torndown due to DeploymentManager action