junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v31
model_name: junhua024-chai-02-full_54657_v31
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-25T05:40:06+00:00
num_battles: 6703
num_wins: 3487
celo_rating: 1303.31
family_friendly_score: 0.41400000000000003
family_friendly_standard_error: 0.006965687331484238
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': 0.5271222818204117, 'latency_mean': 1.8969252932071685, 'latency_p50': 1.896854043006897, 'latency_p90': 2.0681915521621703}, {'batch_size': 2, 'throughput': 0.7004434681505337, 'latency_mean': 2.852161247730255, 'latency_p50': 2.8666200637817383, 'latency_p90': 3.094431018829346}, {'batch_size': 3, 'throughput': 0.7848612818887403, 'latency_mean': 3.813775563240051, 'latency_p50': 3.8287183046340942, 'latency_p90': 4.1092335224151615}, {'batch_size': 4, 'throughput': 0.8448765831840109, 'latency_mean': 4.723676325082779, 'latency_p50': 4.757733464241028, 'latency_p90': 5.29696409702301}, {'batch_size': 5, 'throughput': 0.8763786415059169, 'latency_mean': 5.694809974431991, 'latency_p50': 5.712554335594177, 'latency_p90': 6.3527096033096315}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v31
is_internal_developer: False
language_model: junhua024/chai_02_full_02_019
model_size: 13B
ranking_group: single
throughput_3p7s: 0.78
us_pacific_date: 2025-07-24
win_ratio: 0.5202148291809637
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 45, '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-v31-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v31-mkmlizer to finish
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junhua024-chai-02-full-54657-v31-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v31-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v31-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v31-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v31-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v31-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v31-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v31-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v31-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v31-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v31-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v31-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v31-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v31-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v31-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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-v31-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`
Failed to get response for submission junhua024-chai-02-full_54657_v30: HTTPConnectionPool(host='junhua024-chai-02-full-54657-v30-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
junhua024-chai-02-full-54657-v31-mkmlizer: Downloaded to shared memory in 77.931s
junhua024-chai-02-full-54657-v31-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v31-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpgnlzby93, device:0
junhua024-chai-02-full-54657-v31-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-54657-v31-mkmlizer: quantized model in 162.968s
junhua024-chai-02-full-54657-v31-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 240.983s
junhua024-chai-02-full-54657-v31-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v31-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v31/nvidia/config.json
junhua024-chai-02-full-54657-v31-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v31/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v31-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v31/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v31-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v31/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v31-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v31/nvidia/flywheel_model.0.safetensors
junhua024-chai-02-full-54657-v31-mkmlizer: 
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Job junhua024-chai-02-full-54657-v31-mkmlizer completed after 261.88s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v31-mkmlizer
Pipeline stage MKMLizer completed in 262.46s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-54657-v31
Waiting for inference service junhua024-chai-02-full-54657-v31 to be ready
Failed to get response for submission chaiml-next-door-annoyi_15417_v1: ('http://chaiml-next-door-annoyi-15417-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service junhua024-chai-02-full-54657-v31 ready after 190.79180550575256s
Pipeline stage MKMLDeployer completed in 191.42s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5599372386932373s
Received healthy response to inference request in 1.4127357006072998s
Received healthy response to inference request in 1.3098788261413574s
Received healthy response to inference request in 1.1730411052703857s
Received healthy response to inference request in 1.9865021705627441s
5 requests
0 failed requests
5th percentile: 1.20040864944458
10th percentile: 1.2277761936187743
20th percentile: 1.2825112819671631
30th percentile: 1.3304502010345458
40th percentile: 1.3715929508209228
50th percentile: 1.4127357006072998
60th percentile: 1.6422422885894774
70th percentile: 1.8717488765716552
80th percentile: 2.101189184188843
90th percentile: 2.33056321144104
95th percentile: 2.4452502250671384
99th percentile: 2.5369998359680177
mean time: 1.6884190082550048
Pipeline stage StressChecker completed in 10.08s
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 1.33s
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 1.12s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v31 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 3138.23s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v31 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v31 status is now torndown due to DeploymentManager action