junhua024-chai-12-full-01

developer_uid: junhua024
submission_id: junhua024-chai-12-full-01_v2
model_name: junhua024-chai-12-full-01_v2
model_group: junhua024/chai_12_full_0
status: torndown
timestamp: 2025-07-26T16:56:28+00:00
num_battles: 7813
num_wins: 3829
celo_rating: 1252.7
family_friendly_score: 0.6238
family_friendly_standard_error: 0.006850891328871011
submission_type: basic
model_repo: junhua024/chai_12_full_01
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': 0.5281210121958699, 'latency_mean': 1.893375302553177, 'latency_p50': 1.9001896381378174, 'latency_p90': 2.046738696098328}, {'batch_size': 2, 'throughput': 0.7077997474944571, 'latency_mean': 2.8232670617103577, 'latency_p50': 2.8423678874969482, 'latency_p90': 3.054015469551086}, {'batch_size': 3, 'throughput': 0.8036898147335116, 'latency_mean': 3.722594735622406, 'latency_p50': 3.733315587043762, 'latency_p90': 4.085322594642639}, {'batch_size': 4, 'throughput': 0.8585600086545747, 'latency_mean': 4.650461089611054, 'latency_p50': 4.658783555030823, 'latency_p90': 5.184915161132812}, {'batch_size': 5, 'throughput': 0.8926342636410628, 'latency_mean': 5.585894222259522, 'latency_p50': 5.606378555297852, 'latency_p90': 6.273411798477173}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: junhua024-chai-12-full-01_v2
is_internal_developer: False
language_model: junhua024/chai_12_full_01
model_size: 13B
ranking_group: single
throughput_3p7s: 0.8
us_pacific_date: 2025-07-26
win_ratio: 0.49008063483937025
generation_params: {'temperature': 1.0, 'top_p': 0.88, 'min_p': 0.0, 'top_k': 10, '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': "{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-12-full-01-v2-mkmlizer
Waiting for job on junhua024-chai-12-full-01-v2-mkmlizer to finish
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junhua024-chai-12-full-01-v2-mkmlizer: ║                                                                     ║
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junhua024-chai-12-full-01-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-01-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
junhua024-chai-12-full-01-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
junhua024-chai-12-full-01-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
junhua024-chai-12-full-01-v2-mkmlizer: ║  https://mk1.ai                                                     ║
junhua024-chai-12-full-01-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-01-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
junhua024-chai-12-full-01-v2-mkmlizer: ║  belonging to:                                                      ║
junhua024-chai-12-full-01-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-01-v2-mkmlizer: ║  Chai Research Corp.                                                ║
junhua024-chai-12-full-01-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
junhua024-chai-12-full-01-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
junhua024-chai-12-full-01-v2-mkmlizer: ║                                                                     ║
junhua024-chai-12-full-01-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
junhua024-chai-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-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-12-full-01-v2-mkmlizer: Downloaded to shared memory in 236.751s
junhua024-chai-12-full-01-v2-mkmlizer: Checking if junhua024/chai_12_full_01 already exists in ChaiML
junhua024-chai-12-full-01-v2-mkmlizer: Creating repo ChaiML/chai_12_full_01 and uploading /tmp/tmp2j4q_ahh to it
junhua024-chai-12-full-01-v2-mkmlizer: 
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junhua024-chai-12-full-01-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmp2j4q_ahh, device:0
junhua024-chai-12-full-01-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
junhua024-chai-12-full-01-v2-mkmlizer: quantized model in 161.418s
junhua024-chai-12-full-01-v2-mkmlizer: Processed model junhua024/chai_12_full_01 in 479.635s
junhua024-chai-12-full-01-v2-mkmlizer: creating bucket guanaco-mkml-models
junhua024-chai-12-full-01-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
junhua024-chai-12-full-01-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/junhua024-chai-12-full-01-v2/nvidia
junhua024-chai-12-full-01-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/junhua024-chai-12-full-01-v2/nvidia/config.json
junhua024-chai-12-full-01-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/junhua024-chai-12-full-01-v2/nvidia/special_tokens_map.json
junhua024-chai-12-full-01-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/junhua024-chai-12-full-01-v2/nvidia/flywheel_model.0.safetensors
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Job junhua024-chai-12-full-01-v2-mkmlizer completed after 503.92s with status: succeeded
Stopping job with name junhua024-chai-12-full-01-v2-mkmlizer
Pipeline stage MKMLizer completed in 504.44s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service junhua024-chai-12-full-01-v2
Waiting for inference service junhua024-chai-12-full-01-v2 to be ready
Inference service junhua024-chai-12-full-01-v2 ready after 180.63398480415344s
Pipeline stage MKMLDeployer completed in 181.16s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9914321899414062s
Received healthy response to inference request in 2.7219016551971436s
Received healthy response to inference request in 1.6728920936584473s
Received healthy response to inference request in 1.4048588275909424s
Received healthy response to inference request in 1.213113784790039s
5 requests
0 failed requests
5th percentile: 1.2514627933502198
10th percentile: 1.2898118019104003
20th percentile: 1.3665098190307616
30th percentile: 1.4584654808044433
40th percentile: 1.5656787872314453
50th percentile: 1.6728920936584473
60th percentile: 1.8003081321716308
70th percentile: 1.9277241706848145
80th percentile: 2.137526082992554
90th percentile: 2.4297138690948485
95th percentile: 2.575807762145996
99th percentile: 2.692682876586914
mean time: 1.8008397102355957
Pipeline stage StressChecker completed in 10.82s
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 0.72s
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 0.85s
Shutdown handler de-registered
junhua024-chai-12-full-01_v2 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 3244.61s
Shutdown handler de-registered
junhua024-chai-12-full-01_v2 status is now inactive due to auto deactivation removed underperforming models
junhua024-chai-12-full-01_v2 status is now torndown due to DeploymentManager action