albertwang8192-2025-07-05-5

developer_uid: RandomForest1024

submission_id: albertwang8192-2025-07-05-5_v2

model_name: 2025-07-05_5

model_group: AlbertWang8192/2025-07-0

status: torndown

timestamp: 2025-07-06T02:02:47+00:00

num_battles: 8728

num_wins: 3832

celo_rating: 1243.05

family_friendly_score: 0.5992

family_friendly_standard_error: 0.0069305030120475385

submission_type: basic

model_repo: AlbertWang8192/2025-07-05_5

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': 0.5862097101553542, 'latency_mean': 1.7056864309310913, 'latency_p50': 1.7057658433914185, 'latency_p90': 1.8745985269546508}, {'batch_size': 3, 'throughput': 1.065532236699752, 'latency_mean': 2.8107472467422485, 'latency_p50': 2.801528215408325, 'latency_p90': 3.088018226623535}, {'batch_size': 5, 'throughput': 1.2840050275102628, 'latency_mean': 3.880442966222763, 'latency_p50': 3.8556504249572754, 'latency_p90': 4.35305814743042}, {'batch_size': 6, 'throughput': 1.3346526238208845, 'latency_mean': 4.46895969748497, 'latency_p50': 4.454838871955872, 'latency_p90': 5.006248664855957}, {'batch_size': 8, 'throughput': 1.4009834879341059, 'latency_mean': 5.660762956142426, 'latency_p50': 5.67980420589447, 'latency_p90': 6.328336572647094}, {'batch_size': 10, 'throughput': 1.4306407883369996, 'latency_mean': 6.9324981570243835, 'latency_p50': 6.983452320098877, 'latency_p90': 7.800886154174805}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 2025-07-05_5

is_internal_developer: False

language_model: AlbertWang8192/2025-07-05_5

model_size: 13B

ranking_group: single

throughput_3p7s: 1.26

us_pacific_date: 2025-07-05

win_ratio: 0.4390467461044913

generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_start|>', '<|im_end|>', '\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 albertwang8192-2025-07-05-5-v2-mkmlizer
Waiting for job on albertwang8192-2025-07-05-5-v2-mkmlizer to finish
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albertwang8192-2025-07-05-5-v2-mkmlizer: ║                                                                     ║
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albertwang8192-2025-07-05-5-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-05-5-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-05-5-v2-mkmlizer: Downloaded to shared memory in 68.955s
albertwang8192-2025-07-05-5-v2-mkmlizer: Checking if AlbertWang8192/2025-07-05_5 already exists in ChaiML
albertwang8192-2025-07-05-5-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpzc_1empv, device:0
albertwang8192-2025-07-05-5-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-05-5-v2-mkmlizer: quantized model in 36.860s
albertwang8192-2025-07-05-5-v2-mkmlizer: Processed model AlbertWang8192/2025-07-05_5 in 105.964s
albertwang8192-2025-07-05-5-v2-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-05-5-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-05-5-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-05-5-v2/nvidia
albertwang8192-2025-07-05-5-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-05-5-v2/nvidia/config.json
albertwang8192-2025-07-05-5-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-05-5-v2/nvidia/special_tokens_map.json
albertwang8192-2025-07-05-5-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-05-5-v2/nvidia/flywheel_model.0.safetensors
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Job albertwang8192-2025-07-05-5-v2-mkmlizer completed after 125.5s with status: succeeded
Stopping job with name albertwang8192-2025-07-05-5-v2-mkmlizer
Pipeline stage MKMLizer completed in 126.07s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-05-5-v2
Waiting for inference service albertwang8192-2025-07-05-5-v2 to be ready
Inference service albertwang8192-2025-07-05-5-v2 ready after 221.1595013141632s
Pipeline stage MKMLDeployer completed in 221.94s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.632474660873413s
Received healthy response to inference request in 1.6528456211090088s
Received healthy response to inference request in 1.5601661205291748s
Received healthy response to inference request in 1.5782742500305176s
Received healthy response to inference request in 1.6155593395233154s
5 requests
0 failed requests
5th percentile: 1.5637877464294434
10th percentile: 1.567409372329712
20th percentile: 1.574652624130249
30th percentile: 1.5857312679290771
40th percentile: 1.6006453037261963
50th percentile: 1.6155593395233154
60th percentile: 1.6304738521575928
70th percentile: 1.6453883647918701
80th percentile: 1.8487714290618897
90th percentile: 2.2406230449676516
95th percentile: 2.436548852920532
99th percentile: 2.593289499282837
mean time: 1.807863998413086
Pipeline stage StressChecker completed in 10.69s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.72s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3259.88s
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albertwang8192-2025-07-05-5_v2 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-05-5_v2 status is now torndown due to DeploymentManager action