albertwang8192-2025-07-08-11

developer_uid: RandomForest1024

submission_id: albertwang8192-2025-07-08-11_v1

model_name: 2025-07-08_11

model_group: AlbertWang8192/2025-07-0

status: torndown

timestamp: 2025-07-09T00:32:11+00:00

num_battles: 7067

num_wins: 3233

celo_rating: 1260.4

family_friendly_score: 0.5816

family_friendly_standard_error: 0.006976266049972578

submission_type: basic

model_repo: AlbertWang8192/2025-07-08_11

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': 0.5839982535624278, 'latency_mean': 1.7122152316570283, 'latency_p50': 1.7216984033584595, 'latency_p90': 1.8854620695114135}, {'batch_size': 3, 'throughput': 1.0552086484992447, 'latency_mean': 2.83519939661026, 'latency_p50': 2.858615756034851, 'latency_p90': 3.0423640966415406}, {'batch_size': 5, 'throughput': 1.2672704523940608, 'latency_mean': 3.931707217693329, 'latency_p50': 3.9212223291397095, 'latency_p90': 4.380022597312927}, {'batch_size': 6, 'throughput': 1.3266038612498174, 'latency_mean': 4.494680556058884, 'latency_p50': 4.511457324028015, 'latency_p90': 5.008390402793884}, {'batch_size': 8, 'throughput': 1.3834442487803962, 'latency_mean': 5.743985388278961, 'latency_p50': 5.6961987018585205, 'latency_p90': 6.510976028442383}, {'batch_size': 10, 'throughput': 1.4157330616474995, 'latency_mean': 7.009682052135467, 'latency_p50': 7.001207590103149, 'latency_p90': 7.936129021644592}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 2025-07-08_11

is_internal_developer: False

language_model: AlbertWang8192/2025-07-08_11

model_size: 13B

ranking_group: single

throughput_3p7s: 1.24

us_pacific_date: 2025-07-08

win_ratio: 0.45747842082920614

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', '<|im_start|>', '<|im_end|>'], '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
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Running pipeline stage MKMLizer
Starting job with name albertwang8192-2025-07-08-11-v1-mkmlizer
Waiting for job on albertwang8192-2025-07-08-11-v1-mkmlizer to finish
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albertwang8192-2025-07-08-11-v1-mkmlizer: ║                                                                     ║
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albertwang8192-2025-07-08-11-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-11-v1-mkmlizer: ║  Version: 0.29.15                                                   ║
albertwang8192-2025-07-08-11-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
albertwang8192-2025-07-08-11-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
albertwang8192-2025-07-08-11-v1-mkmlizer: ║  https://mk1.ai                                                     ║
albertwang8192-2025-07-08-11-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-11-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
albertwang8192-2025-07-08-11-v1-mkmlizer: ║  belonging to:                                                      ║
albertwang8192-2025-07-08-11-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-11-v1-mkmlizer: ║  Chai Research Corp.                                                ║
albertwang8192-2025-07-08-11-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
albertwang8192-2025-07-08-11-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
albertwang8192-2025-07-08-11-v1-mkmlizer: ║                                                                     ║
albertwang8192-2025-07-08-11-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-08-11-v1-mkmlizer: Downloaded to shared memory in 47.376s
albertwang8192-2025-07-08-11-v1-mkmlizer: Checking if AlbertWang8192/2025-07-08_11 already exists in ChaiML
albertwang8192-2025-07-08-11-v1-mkmlizer: Creating repo ChaiML/2025-07-08_11 and uploading /tmp/tmp_42757vz to it
albertwang8192-2025-07-08-11-v1-mkmlizer: 
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albertwang8192-2025-07-08-11-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_42757vz, device:0
albertwang8192-2025-07-08-11-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-08-11-v1-mkmlizer: quantized model in 31.701s
albertwang8192-2025-07-08-11-v1-mkmlizer: Processed model AlbertWang8192/2025-07-08_11 in 133.199s
albertwang8192-2025-07-08-11-v1-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-08-11-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-08-11-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-08-11-v1/nvidia
albertwang8192-2025-07-08-11-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-11-v1/nvidia/config.json
albertwang8192-2025-07-08-11-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-11-v1/nvidia/special_tokens_map.json
albertwang8192-2025-07-08-11-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-11-v1/nvidia/tokenizer_config.json
albertwang8192-2025-07-08-11-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-08-11-v1/nvidia/flywheel_model.0.safetensors
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Job albertwang8192-2025-07-08-11-v1-mkmlizer completed after 157.67s with status: succeeded
Stopping job with name albertwang8192-2025-07-08-11-v1-mkmlizer
Pipeline stage MKMLizer completed in 158.27s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service albertwang8192-2025-07-08-11-v1
Waiting for inference service albertwang8192-2025-07-08-11-v1 to be ready
Failed to get response for submission chaiml-llama3-200m-v2-t_89339_v1: HTTPConnectionPool(host='chaiml-llama3-200m-v2-t-89339-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service albertwang8192-2025-07-08-11-v1 ready after 191.37947273254395s
Pipeline stage MKMLDeployer completed in 192.37s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1517040729522705s
Received healthy response to inference request in 1.8734664916992188s
Received healthy response to inference request in 1.4810097217559814s
Received healthy response to inference request in 1.9147775173187256s
Received healthy response to inference request in 2.0317256450653076s
5 requests
0 failed requests
5th percentile: 1.5595010757446288
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99th percentile: 2.146904935836792
mean time: 1.8905366897583007
Pipeline stage StressChecker completed in 10.89s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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albertwang8192-2025-07-08-11_v1 status is now deployed due to DeploymentManager action
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3225.87s
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albertwang8192-2025-07-08-11_v1 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-08-11_v1 status is now torndown due to DeploymentManager action