albertwang8192-2025-07-08-12

developer_uid: RandomForest1024

submission_id: albertwang8192-2025-07-08-12_v1

model_name: 2025-07-08_12

model_group: AlbertWang8192/2025-07-0

status: torndown

timestamp: 2025-07-09T04:14:19+00:00

num_battles: 7667

num_wins: 3463

celo_rating: 1251.58

family_friendly_score: 0.5602

family_friendly_standard_error: 0.007019629050028214

submission_type: basic

model_repo: AlbertWang8192/2025-07-08_12

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': 0.5891124812211622, 'latency_mean': 1.6973491048812865, 'latency_p50': 1.6974914073944092, 'latency_p90': 1.8625097274780273}, {'batch_size': 3, 'throughput': 1.0594976728357768, 'latency_mean': 2.823225139379501, 'latency_p50': 2.8136494159698486, 'latency_p90': 3.139528942108154}, {'batch_size': 5, 'throughput': 1.2629233078004196, 'latency_mean': 3.9342903220653533, 'latency_p50': 3.949741244316101, 'latency_p90': 4.35608069896698}, {'batch_size': 6, 'throughput': 1.3329812301767676, 'latency_mean': 4.475145145654678, 'latency_p50': 4.416922211647034, 'latency_p90': 5.092293000221252}, {'batch_size': 8, 'throughput': 1.3828831399859767, 'latency_mean': 5.736590464115142, 'latency_p50': 5.751026749610901, 'latency_p90': 6.434594941139221}, {'batch_size': 10, 'throughput': 1.412989590167987, 'latency_mean': 7.019298161268234, 'latency_p50': 7.032718062400818, 'latency_p90': 7.945549821853637}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 2025-07-08_12

is_internal_developer: False

language_model: AlbertWang8192/2025-07-08_12

model_size: 13B

ranking_group: single

throughput_3p7s: 1.24

us_pacific_date: 2025-07-08

win_ratio: 0.45167601408634406

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_end|>', '\n', '<|im_start|>'], '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 albertwang8192-2025-07-08-12-v1-mkmlizer
Waiting for job on albertwang8192-2025-07-08-12-v1-mkmlizer to finish
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albertwang8192-2025-07-08-12-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-12-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-08-12-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-08-12-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-08-12-v1-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-08-12-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-12-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-08-12-v1-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-08-12-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-12-v1-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-08-12-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-08-12-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-08-12-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-12-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-08-12-v1-mkmlizer: Downloaded to shared memory in 51.382s
albertwang8192-2025-07-08-12-v1-mkmlizer: Checking if AlbertWang8192/2025-07-08_12 already exists in ChaiML
albertwang8192-2025-07-08-12-v1-mkmlizer: Creating repo ChaiML/2025-07-08_12 and uploading /tmp/tmp8n2616if to it
albertwang8192-2025-07-08-12-v1-mkmlizer: 
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albertwang8192-2025-07-08-12-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8n2616if, device:0
albertwang8192-2025-07-08-12-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-08-12-v1-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-08-12-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-08-12-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-08-12-v1/nvidia
albertwang8192-2025-07-08-12-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-12-v1/nvidia/config.json
albertwang8192-2025-07-08-12-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-12-v1/nvidia/special_tokens_map.json
albertwang8192-2025-07-08-12-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-12-v1/nvidia/tokenizer_config.json
albertwang8192-2025-07-08-12-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-12-v1/nvidia/tokenizer.json
albertwang8192-2025-07-08-12-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-08-12-v1/nvidia/flywheel_model.0.safetensors
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Job albertwang8192-2025-07-08-12-v1-mkmlizer completed after 167.32s with status: succeeded
Stopping job with name albertwang8192-2025-07-08-12-v1-mkmlizer
Pipeline stage MKMLizer completed in 167.90s
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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 albertwang8192-2025-07-08-12-v1
Waiting for inference service albertwang8192-2025-07-08-12-v1 to be ready
Inference service albertwang8192-2025-07-08-12-v1 ready after 190.90283393859863s
Pipeline stage MKMLDeployer completed in 191.62s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.0181102752685547s
Received healthy response to inference request in 1.7547402381896973s
Received healthy response to inference request in 1.2634649276733398s
Received healthy response to inference request in 1.8493707180023193s
Received healthy response to inference request in 1.6278164386749268s
5 requests
0 failed requests
5th percentile: 1.3363352298736573
10th percentile: 1.4092055320739747
20th percentile: 1.5549461364746093
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70th percentile: 1.830444622039795
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mean time: 1.9027005195617677
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3100.28s
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albertwang8192-2025-07-08-12_v1 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-08-12_v1 status is now torndown due to DeploymentManager action