albertwang8192-2025-07-08-3

developer_uid: RandomForest1024

submission_id: albertwang8192-2025-07-08-3_v1

model_name: 2025-07-08_3

model_group: AlbertWang8192/2025-07-0

status: torndown

timestamp: 2025-07-08T12:44:05+00:00

num_battles: 5996

num_wins: 2694

celo_rating: 1252.32

family_friendly_score: 0.5594

family_friendly_standard_error: 0.007020991952708677

submission_type: basic

model_repo: AlbertWang8192/2025-07-08_3

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': 0.5989492716476139, 'latency_mean': 1.6694192683696747, 'latency_p50': 1.6542826890945435, 'latency_p90': 1.8616236686706542}, {'batch_size': 3, 'throughput': 1.0701684339995143, 'latency_mean': 2.797991443872452, 'latency_p50': 2.8094342947006226, 'latency_p90': 3.0984392166137695}, {'batch_size': 5, 'throughput': 1.2910233549281867, 'latency_mean': 3.8627644097805023, 'latency_p50': 3.8631428480148315, 'latency_p90': 4.318506979942322}, {'batch_size': 6, 'throughput': 1.3502892126600945, 'latency_mean': 4.4231032705307, 'latency_p50': 4.435524344444275, 'latency_p90': 4.918998765945434}, {'batch_size': 8, 'throughput': 1.4163690475486959, 'latency_mean': 5.601783673763276, 'latency_p50': 5.661816477775574, 'latency_p90': 6.26297869682312}, {'batch_size': 10, 'throughput': 1.4397074781361905, 'latency_mean': 6.887735074758529, 'latency_p50': 6.847870588302612, 'latency_p90': 7.734981894493103}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 2025-07-08_3

is_internal_developer: False

language_model: AlbertWang8192/2025-07-08_3

model_size: 13B

ranking_group: single

throughput_3p7s: 1.27

us_pacific_date: 2025-07-08

win_ratio: 0.4492995330220147

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 albertwang8192-2025-07-08-3-v1-mkmlizer
Waiting for job on albertwang8192-2025-07-08-3-v1-mkmlizer to finish
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albertwang8192-2025-07-08-3-v1-mkmlizer: ║                                                                     ║
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albertwang8192-2025-07-08-3-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-3-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-08-3-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-08-3-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-08-3-v1-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-08-3-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-3-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-08-3-v1-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-08-3-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-3-v1-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-08-3-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-08-3-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-08-3-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-08-3-v1-mkmlizer: Downloaded to shared memory in 42.485s
albertwang8192-2025-07-08-3-v1-mkmlizer: Checking if AlbertWang8192/2025-07-08_3 already exists in ChaiML
albertwang8192-2025-07-08-3-v1-mkmlizer: Creating repo ChaiML/2025-07-08_3 and uploading /tmp/tmp7qwo4bo7 to it
albertwang8192-2025-07-08-3-v1-mkmlizer: 
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albertwang8192-2025-07-08-3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7qwo4bo7, device:0
albertwang8192-2025-07-08-3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-08-3-v1-mkmlizer: quantized model in 30.625s
albertwang8192-2025-07-08-3-v1-mkmlizer: Processed model AlbertWang8192/2025-07-08_3 in 127.288s
albertwang8192-2025-07-08-3-v1-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-08-3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-3-v1/nvidia/config.json
albertwang8192-2025-07-08-3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-3-v1/nvidia/special_tokens_map.json
albertwang8192-2025-07-08-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-3-v1/nvidia/tokenizer_config.json
albertwang8192-2025-07-08-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-3-v1/nvidia/tokenizer.json
albertwang8192-2025-07-08-3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-08-3-v1/nvidia/flywheel_model.0.safetensors
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Job albertwang8192-2025-07-08-3-v1-mkmlizer completed after 156.88s with status: succeeded
Stopping job with name albertwang8192-2025-07-08-3-v1-mkmlizer
Pipeline stage MKMLizer completed in 157.44s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.31s
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Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-08-3-v1
Waiting for inference service albertwang8192-2025-07-08-3-v1 to be ready
Inference service albertwang8192-2025-07-08-3-v1 ready after 190.98140740394592s
Pipeline stage MKMLDeployer completed in 191.80s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3472883701324463s
Received healthy response to inference request in 1.6404023170471191s
Received healthy response to inference request in 1.8860673904418945s
Received healthy response to inference request in 1.8378236293792725s
Received healthy response to inference request in 1.7564208507537842s
5 requests
0 failed requests
5th percentile: 1.6636060237884522
10th percentile: 1.6868097305297851
20th percentile: 1.733217144012451
30th percentile: 1.7727014064788817
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60th percentile: 1.8571211338043212
70th percentile: 1.8764186382293702
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mean time: 1.8936005115509034
Pipeline stage StressChecker completed in 12.07s
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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 3115.83s
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albertwang8192-2025-07-08-3_v1 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-08-3_v1 status is now torndown due to DeploymentManager action