junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v29
model_name: junhua024-chai-02-full_54657_v29
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-25T05:28:14+00:00
num_battles: 6731
num_wins: 3453
celo_rating: 1294.35
family_friendly_score: 0.41059999999999997
family_friendly_standard_error: 0.006957120668782452
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': 0.5337699056173015, 'latency_mean': 1.8732969915866853, 'latency_p50': 1.8579227924346924, 'latency_p90': 2.0445125818252565}, {'batch_size': 2, 'throughput': 0.7153975995882638, 'latency_mean': 2.7928698480129244, 'latency_p50': 2.803237199783325, 'latency_p90': 3.0084697246551513}, {'batch_size': 3, 'throughput': 0.8015089711022257, 'latency_mean': 3.7336647641658782, 'latency_p50': 3.725714325904846, 'latency_p90': 3.982615423202515}, {'batch_size': 4, 'throughput': 0.8658210698129475, 'latency_mean': 4.6037809276580814, 'latency_p50': 4.581753134727478, 'latency_p90': 5.225286555290222}, {'batch_size': 5, 'throughput': 0.8979240494461938, 'latency_mean': 5.555939636230469, 'latency_p50': 5.578661322593689, 'latency_p90': 6.17682580947876}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v29
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.8
us_pacific_date: 2025-07-24
win_ratio: 0.5129995543009954
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 35, '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': "{memory} You are an empathetic conversational AI. You understand the user's feelings and respond with warmth, compassion, and sincerity.", '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-v29-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v29-mkmlizer to finish
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junhua024-chai-02-full-54657-v29-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v29-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v29-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v29-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v29-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v29-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v29-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v29-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v29-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v29-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v29-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v29-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v29-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v29-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v29-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v29-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-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-v29-mkmlizer: Downloaded to shared memory in 76.315s
junhua024-chai-02-full-54657-v29-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v29-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpmbqrtj1m, device:0
junhua024-chai-02-full-54657-v29-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-54657-v29-mkmlizer: quantized model in 164.980s
junhua024-chai-02-full-54657-v29-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 241.378s
junhua024-chai-02-full-54657-v29-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v29-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v29-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v29/nvidia
junhua024-chai-02-full-54657-v29-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v29/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v29-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v29/nvidia/config.json
junhua024-chai-02-full-54657-v29-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v29/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v29-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v29/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v29-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v29/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-54657-v29-mkmlizer completed after 263.63s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v29-mkmlizer
Pipeline stage MKMLizer completed in 264.17s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.36s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-54657-v29
Waiting for inference service junhua024-chai-02-full-54657-v29 to be ready
Inference service junhua024-chai-02-full-54657-v29 ready after 191.1005928516388s
Pipeline stage MKMLDeployer completed in 191.61s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.435126543045044s
Received healthy response to inference request in 3.053917169570923s
Received healthy response to inference request in 1.3738937377929688s
Received healthy response to inference request in 1.491424798965454s
Received healthy response to inference request in 1.8369872570037842s
5 requests
0 failed requests
5th percentile: 1.3973999500274659
10th percentile: 1.420906162261963
20th percentile: 1.467918586730957
30th percentile: 1.56053729057312
40th percentile: 1.6987622737884522
50th percentile: 1.8369872570037842
60th percentile: 2.3237592220306396
70th percentile: 2.810531187057495
80th percentile: 3.130159044265747
90th percentile: 3.2826427936553957
95th percentile: 3.35888466835022
99th percentile: 3.419878168106079
mean time: 2.238269901275635
Pipeline stage StressChecker completed in 12.85s
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 0.86s
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_54657_v29 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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5165.97s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v29 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v29 status is now torndown due to DeploymentManager action