junhua024-chai-19-full-0022

developer_uid: junhua024
submission_id: junhua024-chai-19-full-0022_v1
model_name: junhua024-chai-19-full-0022_v1
model_group: junhua024/chai_19-full_0
status: torndown
timestamp: 2025-07-21T19:23:21+00:00
num_battles: 5720
num_wins: 2550
celo_rating: 1233.77
family_friendly_score: 0.599
family_friendly_standard_error: 0.006931074952703946
submission_type: basic
model_repo: junhua024/chai_19-full_0022
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': 0.6729087521240763, 'latency_mean': 1.485942441225052, 'latency_p50': 1.4825327396392822, 'latency_p90': 1.641504716873169}, {'batch_size': 3, 'throughput': 1.1423756149583015, 'latency_mean': 2.614924850463867, 'latency_p50': 2.6077741384506226, 'latency_p90': 2.9086087465286257}, {'batch_size': 5, 'throughput': 1.3268066579374873, 'latency_mean': 3.7535591304302214, 'latency_p50': 3.8059600591659546, 'latency_p90': 4.161194086074829}, {'batch_size': 6, 'throughput': 1.3826910571426707, 'latency_mean': 4.320370240211487, 'latency_p50': 4.3265700340271, 'latency_p90': 4.862332081794738}, {'batch_size': 8, 'throughput': 1.4473183964670875, 'latency_mean': 5.484480631351471, 'latency_p50': 5.470757484436035, 'latency_p90': 6.098669314384461}, {'batch_size': 10, 'throughput': 1.4720703254104464, 'latency_mean': 6.733424127101898, 'latency_p50': 6.754535675048828, 'latency_p90': 7.53516948223114}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-19-full-0022_v1
is_internal_developer: False
language_model: junhua024/chai_19-full_0022
model_size: 13B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-07-21
win_ratio: 0.4458041958041958
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': 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-19-full-0022-v1-mkmlizer
Waiting for job on junhua024-chai-19-full-0022-v1-mkmlizer to finish
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junhua024-chai-19-full-0022-v1-mkmlizer: ║                                                                     ║
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junhua024-chai-19-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-19-full-0022-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-19-full-0022-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-19-full-0022-v1-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-19-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-19-full-0022-v1-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-19-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v1-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-19-full-0022-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-19-full-0022-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-19-full-0022-v1-mkmlizer: ║                                                                     ║
junhua024-chai-19-full-0022-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-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-19-full-0022-v1-mkmlizer: Downloaded to shared memory in 141.266s
junhua024-chai-19-full-0022-v1-mkmlizer: Checking if junhua024/chai_19-full_0022 already exists in ChaiML
junhua024-chai-19-full-0022-v1-mkmlizer: Creating repo ChaiML/chai_19-full_0022 and uploading /tmp/tmp5d53fyx5 to it
junhua024-chai-19-full-0022-v1-mkmlizer: 
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junhua024-chai-19-full-0022-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp5d53fyx5, device:0
junhua024-chai-19-full-0022-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-19-full-0022-v1-mkmlizer: quantized model in 162.849s
junhua024-chai-19-full-0022-v1-mkmlizer: Processed model junhua024/chai_19-full_0022 in 395.747s
junhua024-chai-19-full-0022-v1-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-19-full-0022-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-19-full-0022-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v1/nvidia
junhua024-chai-19-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v1/nvidia/config.json
junhua024-chai-19-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v1/nvidia/special_tokens_map.json
junhua024-chai-19-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v1/nvidia/tokenizer_config.json
junhua024-chai-19-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v1/nvidia/tokenizer.json
junhua024-chai-19-full-0022-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-19-full-0022-v1/nvidia/flywheel_model.0.safetensors
junhua024-chai-19-full-0022-v1-mkmlizer: 
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Job junhua024-chai-19-full-0022-v1-mkmlizer completed after 416.31s with status: succeeded
Stopping job with name junhua024-chai-19-full-0022-v1-mkmlizer
Pipeline stage MKMLizer completed in 416.95s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-19-full-0022-v1
Waiting for inference service junhua024-chai-19-full-0022-v1 to be ready
Inference service junhua024-chai-19-full-0022-v1 ready after 321.36367177963257s
Pipeline stage MKMLDeployer completed in 322.10s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.111175775527954s
Received healthy response to inference request in 1.0935606956481934s
Received healthy response to inference request in 1.2202086448669434s
Received healthy response to inference request in 1.3040144443511963s
Received healthy response to inference request in 1.511559009552002s
5 requests
0 failed requests
5th percentile: 1.1188902854919434
10th percentile: 1.1442198753356934
20th percentile: 1.1948790550231934
30th percentile: 1.236969804763794
40th percentile: 1.2704921245574952
50th percentile: 1.3040144443511963
60th percentile: 1.3870322704315186
70th percentile: 1.4700500965118408
80th percentile: 1.6314823627471924
90th percentile: 1.8713290691375732
95th percentile: 1.9912524223327637
99th percentile: 2.087191104888916
mean time: 1.4481037139892579
Pipeline stage StressChecker completed in 9.01s
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 0.96s
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 1.03s
Shutdown handler de-registered
junhua024-chai-19-full-0022_v1 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 2955.13s
Shutdown handler de-registered
junhua024-chai-19-full-0022_v1 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-19-full-0022_v1 status is now torndown due to DeploymentManager action