junhua024-chai-02-full_54657

developer_uid: junhua024
submission_id: junhua024-chai-02-full_54657_v13
model_name: junhua024-chai-02-full_54657_v13
model_group: junhua024/chai_02_full_0
status: torndown
timestamp: 2025-07-24T08:40:52+00:00
num_battles: 5856
num_wins: 3055
celo_rating: 1298.5
family_friendly_score: 0.41279999999999994
family_friendly_standard_error: 0.006962702923434261
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': 0.5284440472931962, 'latency_mean': 1.8921551156044005, 'latency_p50': 1.8959879875183105, 'latency_p90': 2.0572567224502563}, {'batch_size': 2, 'throughput': 0.7088506677368444, 'latency_mean': 2.8179847979545594, 'latency_p50': 2.821474313735962, 'latency_p90': 3.074617791175842}, {'batch_size': 3, 'throughput': 0.7979468956108053, 'latency_mean': 3.7533257687091828, 'latency_p50': 3.7655558586120605, 'latency_p90': 4.055787539482116}, {'batch_size': 4, 'throughput': 0.8564023357470896, 'latency_mean': 4.661917804479599, 'latency_p50': 4.6750301122665405, 'latency_p90': 5.2593879938125605}, {'batch_size': 5, 'throughput': 0.8915082310826623, 'latency_mean': 5.589598562717438, 'latency_p50': 5.582963943481445, 'latency_p90': 6.250831079483032}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-02-full_54657_v13
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: 0.5216871584699454
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': 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-v13-mkmlizer
Waiting for job on junhua024-chai-02-full-54657-v13-mkmlizer to finish
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junhua024-chai-02-full-54657-v13-mkmlizer: ║                                                                     ║
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junhua024-chai-02-full-54657-v13-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
junhua024-chai-02-full-54657-v13-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v13-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-02-full-54657-v13-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-02-full-54657-v13-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-02-full-54657-v13-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-02-full-54657-v13-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v13-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-02-full-54657-v13-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-02-full-54657-v13-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v13-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-02-full-54657-v13-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-02-full-54657-v13-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-02-full-54657-v13-mkmlizer: ║                                                                     ║
junhua024-chai-02-full-54657-v13-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-02-full-54657-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-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-v13-mkmlizer: Downloaded to shared memory in 78.968s
junhua024-chai-02-full-54657-v13-mkmlizer: Checking if junhua024/chai_02_full_02_019 already exists in ChaiML
junhua024-chai-02-full-54657-v13-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpnjv1hugg, device:0
junhua024-chai-02-full-54657-v13-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-02-full-54657-v13-mkmlizer: quantized model in 159.455s
junhua024-chai-02-full-54657-v13-mkmlizer: Processed model junhua024/chai_02_full_02_019 in 238.507s
junhua024-chai-02-full-54657-v13-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-02-full-54657-v13-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-02-full-54657-v13-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v13/nvidia
junhua024-chai-02-full-54657-v13-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v13/nvidia/special_tokens_map.json
junhua024-chai-02-full-54657-v13-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v13/nvidia/config.json
junhua024-chai-02-full-54657-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v13/nvidia/tokenizer_config.json
junhua024-chai-02-full-54657-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v13/nvidia/tokenizer.json
junhua024-chai-02-full-54657-v13-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-02-full-54657-v13/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-02-full-54657-v13-mkmlizer completed after 263.92s with status: succeeded
Stopping job with name junhua024-chai-02-full-54657-v13-mkmlizer
Pipeline stage MKMLizer completed in 264.78s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-02-full-54657-v13
Waiting for inference service junhua024-chai-02-full-54657-v13 to be ready
Inference service junhua024-chai-02-full-54657-v13 ready after 180.62902116775513s
Pipeline stage MKMLDeployer completed in 181.10s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 3.4665396213531494s
Received healthy response to inference request in 3.000504970550537s
Received healthy response to inference request in 2.7503247261047363s
Received healthy response to inference request in 1.4074766635894775s
5 requests
1 failed requests
5th percentile: 1.6760462760925292
10th percentile: 1.944615888595581
20th percentile: 2.4817551136016847
30th percentile: 2.8003607749938966
40th percentile: 2.9004328727722166
50th percentile: 3.000504970550537
60th percentile: 3.186918830871582
70th percentile: 3.3733326911926267
80th percentile: 6.808944511413577
90th percentile: 13.493754291534426
95th percentile: 16.836159181594844
99th percentile: 19.51008309364319
mean time: 6.160682010650635
%s, retrying in %s seconds...
Received healthy response to inference request in 2.329265832901001s
Received healthy response to inference request in 1.7772276401519775s
Received healthy response to inference request in 3.3434407711029053s
Received healthy response to inference request in 1.19925856590271s
Received healthy response to inference request in 1.8412847518920898s
5 requests
0 failed requests
5th percentile: 1.3148523807525634
10th percentile: 1.430446195602417
20th percentile: 1.6616338253021241
30th percentile: 1.7900390625
40th percentile: 1.815661907196045
50th percentile: 1.8412847518920898
60th percentile: 2.0364771842956544
70th percentile: 2.2316696166992185
80th percentile: 2.532100820541382
90th percentile: 2.9377707958221437
95th percentile: 3.140605783462524
99th percentile: 3.302873773574829
mean time: 2.098095512390137
Pipeline stage StressChecker completed in 44.75s
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 0.68s
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 0.93s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v13 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 6126.73s
Shutdown handler de-registered
junhua024-chai-02-full_54657_v13 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-02-full_54657_v13 status is now torndown due to DeploymentManager action