submission_id: cycy233-l3-p-v1-c2_v1
developer_uid: shiroe40
best_of: 16
celo_rating: 1255.83
display_name: auto
family_friendly_score: 0.0
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/L3-p-v1-c2
latencies: [{'batch_size': 1, 'throughput': 0.8978860415802637, 'latency_mean': 1.1136440408229829, 'latency_p50': 1.110798954963684, 'latency_p90': 1.239614152908325}, {'batch_size': 4, 'throughput': 1.7775958588832739, 'latency_mean': 2.2427354609966277, 'latency_p50': 2.2436976432800293, 'latency_p90': 2.4811306238174438}, {'batch_size': 5, 'throughput': 1.8509397329624262, 'latency_mean': 2.6889288926124575, 'latency_p50': 2.6967735290527344, 'latency_p90': 3.0012045621871946}, {'batch_size': 8, 'throughput': 1.9831545969852538, 'latency_mean': 4.002020220756531, 'latency_p50': 3.9871100187301636, 'latency_p90': 4.533236742019653}, {'batch_size': 10, 'throughput': 1.9965572023636724, 'latency_mean': 4.95833986401558, 'latency_p50': 4.931059718132019, 'latency_p90': 5.746557188034058}, {'batch_size': 12, 'throughput': 2.010464721811011, 'latency_mean': 5.88075037240982, 'latency_p50': 5.909782886505127, 'latency_p90': 6.567594814300537}, {'batch_size': 15, 'throughput': 1.9901253852290808, 'latency_mean': 7.384539743661881, 'latency_p50': 7.523588061332703, 'latency_p90': 8.283530163764954}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v1-c2
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v1-c2
model_size: 8B
num_battles: 10992
num_wins: 5669
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.98
timestamp: 2024-09-09T03:22:43+00:00
us_pacific_date: 2024-09-08
win_ratio: 0.5157387190684134
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
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run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-p-v1-c2-v1-mkmlizer
Waiting for job on cycy233-l3-p-v1-c2-v1-mkmlizer to finish
cycy233-l3-p-v1-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v1-c2-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v1-c2-v1-mkmlizer: Downloaded to shared memory in 34.642s
cycy233-l3-p-v1-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpw3m7v9vw, device:0
cycy233-l3-p-v1-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v1-c2-v1-mkmlizer: quantized model in 25.162s
cycy233-l3-p-v1-c2-v1-mkmlizer: Processed model cycy233/L3-p-v1-c2 in 59.805s
cycy233-l3-p-v1-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v1-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v1-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v1-c2-v1
cycy233-l3-p-v1-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c2-v1/config.json
cycy233-l3-p-v1-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c2-v1/special_tokens_map.json
cycy233-l3-p-v1-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c2-v1/tokenizer_config.json
cycy233-l3-p-v1-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c2-v1/tokenizer.json
cycy233-l3-p-v1-c2-v1-mkmlizer: 
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Job cycy233-l3-p-v1-c2-v1-mkmlizer completed after 84.03s with status: succeeded
Stopping job with name cycy233-l3-p-v1-c2-v1-mkmlizer
Pipeline stage MKMLizer completed in 84.80s
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Creating inference service cycy233-l3-p-v1-c2-v1
Waiting for inference service cycy233-l3-p-v1-c2-v1 to be ready
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Inference service cycy233-l3-p-v1-c2-v1 ready after 150.37843465805054s
Pipeline stage MKMLDeployer completed in 151.94s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.426102876663208s
Received healthy response to inference request in 1.9334454536437988s
Received healthy response to inference request in 2.0038769245147705s
Received healthy response to inference request in 1.7255032062530518s
Received healthy response to inference request in 1.6648437976837158s
5 requests
0 failed requests
5th percentile: 1.676975679397583
10th percentile: 1.68910756111145
20th percentile: 1.7133713245391846
30th percentile: 1.767091655731201
40th percentile: 1.8502685546875
50th percentile: 1.9334454536437988
60th percentile: 1.9616180419921876
70th percentile: 1.9897906303405761
80th percentile: 2.088322114944458
90th percentile: 2.257212495803833
95th percentile: 2.3416576862335203
99th percentile: 2.4092138385772706
mean time: 1.950754451751709
Pipeline stage StressChecker completed in 10.44s
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Inference service cycy233-l3-p-v1-c2-v1-profiler ready after 150.3778796195984s
Pipeline stage MKMLProfilerDeployer completed in 150.76s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v1-c2-v1-profiler-predictor-00001-deployment-fnlcp:/code/chaiverse_profiler_1725852604 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v1-c2-v1-profiler-predictor-00001-deployment-fnlcp --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725852604 && python profiles.py profile --best_of_n 16 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725852604/summary.json'
kubectl exec -it cycy233-l3-p-v1-c2-v1-profiler-predictor-00001-deployment-fnlcp --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725852604/summary.json'
Pipeline stage MKMLProfilerRunner completed in 849.84s
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Checking if service cycy233-l3-p-v1-c2-v1-profiler is running
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