albertwang8192-2025-07-08-8

developer_uid: RandomForest1024

submission_id: albertwang8192-2025-07-08-8_v1

model_name: 2025-07-08_8

model_group: AlbertWang8192/2025-07-0

status: torndown

timestamp: 2025-07-08T22:02:48+00:00

num_battles: 9275

num_wins: 4355

celo_rating: 1266.02

family_friendly_score: 0.6002000000000001

family_friendly_standard_error: 0.006927625278549642

submission_type: basic

model_repo: AlbertWang8192/2025-07-08_8

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': 0.5974259909418851, 'latency_mean': 1.6736742305755614, 'latency_p50': 1.6602953672409058, 'latency_p90': 1.8525293827056883}, {'batch_size': 3, 'throughput': 1.0791979629564155, 'latency_mean': 2.769855237007141, 'latency_p50': 2.7538859844207764, 'latency_p90': 3.0412923097610474}, {'batch_size': 5, 'throughput': 1.2950444181316914, 'latency_mean': 3.840187658071518, 'latency_p50': 3.8518049716949463, 'latency_p90': 4.249714517593384}, {'batch_size': 6, 'throughput': 1.3558605553040681, 'latency_mean': 4.40760223865509, 'latency_p50': 4.395978212356567, 'latency_p90': 4.907093715667725}, {'batch_size': 8, 'throughput': 1.4228405223495202, 'latency_mean': 5.570372602939606, 'latency_p50': 5.589436054229736, 'latency_p90': 6.305025815963745}, {'batch_size': 10, 'throughput': 1.463819962370862, 'latency_mean': 6.768447068929672, 'latency_p50': 6.735854148864746, 'latency_p90': 7.746569991111755}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 2025-07-08_8

is_internal_developer: False

language_model: AlbertWang8192/2025-07-08_8

model_size: 13B

ranking_group: single

throughput_3p7s: 1.28

us_pacific_date: 2025-07-08

win_ratio: 0.46954177897574123

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': ['\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 albertwang8192-2025-07-08-8-v1-mkmlizer
Waiting for job on albertwang8192-2025-07-08-8-v1-mkmlizer to finish
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albertwang8192-2025-07-08-8-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-8-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-08-8-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-08-8-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-08-8-v1-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-08-8-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-8-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-08-8-v1-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-08-8-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-8-v1-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-08-8-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-08-8-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-08-8-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-8-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-08-8-v1-mkmlizer: Downloaded to shared memory in 47.046s
albertwang8192-2025-07-08-8-v1-mkmlizer: Checking if AlbertWang8192/2025-07-08_8 already exists in ChaiML
albertwang8192-2025-07-08-8-v1-mkmlizer: Creating repo ChaiML/2025-07-08_8 and uploading /tmp/tmp1tv1azf6 to it
albertwang8192-2025-07-08-8-v1-mkmlizer: 
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albertwang8192-2025-07-08-8-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1tv1azf6, device:0
albertwang8192-2025-07-08-8-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-08-8-v1-mkmlizer: quantized model in 31.939s
albertwang8192-2025-07-08-8-v1-mkmlizer: Processed model AlbertWang8192/2025-07-08_8 in 132.774s
albertwang8192-2025-07-08-8-v1-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-08-8-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-08-8-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-08-8-v1/nvidia
albertwang8192-2025-07-08-8-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-8-v1/nvidia/config.json
albertwang8192-2025-07-08-8-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-8-v1/nvidia/special_tokens_map.json
albertwang8192-2025-07-08-8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-8-v1/nvidia/tokenizer_config.json
albertwang8192-2025-07-08-8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-8-v1/nvidia/tokenizer.json
albertwang8192-2025-07-08-8-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-08-8-v1/nvidia/flywheel_model.0.safetensors
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Job albertwang8192-2025-07-08-8-v1-mkmlizer completed after 157.86s with status: succeeded
Stopping job with name albertwang8192-2025-07-08-8-v1-mkmlizer
Pipeline stage MKMLizer completed in 158.43s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-08-8-v1
Waiting for inference service albertwang8192-2025-07-08-8-v1 to be ready
Inference service albertwang8192-2025-07-08-8-v1 ready after 190.93970823287964s
Pipeline stage MKMLDeployer completed in 191.47s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.349372148513794s
Received healthy response to inference request in 1.7239115238189697s
Received healthy response to inference request in 1.8106582164764404s
Received healthy response to inference request in 1.6095755100250244s
Received healthy response to inference request in 1.8413589000701904s
5 requests
0 failed requests
5th percentile: 1.6324427127838135
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mean time: 1.8669752597808837
Pipeline stage StressChecker completed in 10.58s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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albertwang8192-2025-07-08-8_v1 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-08-8_v1 status is now torndown due to DeploymentManager action