submission_id: cycy233-l3-p-v2-c4_v2
developer_uid: shiroe40
best_of: 16
celo_rating: 1248.26
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-v2-c4
latencies: [{'batch_size': 1, 'throughput': 0.9187640763172559, 'latency_mean': 1.088347749710083, 'latency_p50': 1.0809085369110107, 'latency_p90': 1.2280253887176513}, {'batch_size': 4, 'throughput': 1.7732814760364404, 'latency_mean': 2.2527752602100373, 'latency_p50': 2.2504197359085083, 'latency_p90': 2.528057646751404}, {'batch_size': 5, 'throughput': 1.870029881638341, 'latency_mean': 2.6561617934703827, 'latency_p50': 2.6550475358963013, 'latency_p90': 2.9750905752182004}, {'batch_size': 8, 'throughput': 1.9749583171090306, 'latency_mean': 4.016916311979294, 'latency_p50': 4.0245219469070435, 'latency_p90': 4.4464311599731445}, {'batch_size': 10, 'throughput': 2.0357841568883286, 'latency_mean': 4.864982694387436, 'latency_p50': 4.871996998786926, 'latency_p90': 5.6497605562210085}, {'batch_size': 12, 'throughput': 2.0018329236889207, 'latency_mean': 5.918327317237854, 'latency_p50': 5.935218572616577, 'latency_p90': 6.823033738136291}, {'batch_size': 15, 'throughput': 1.9957425816656462, 'latency_mean': 7.370493528842926, 'latency_p50': 7.470153093338013, 'latency_p90': 8.215447759628296}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v2-c4
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v2-c4
model_size: 8B
num_battles: 10879
num_wins: 5516
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.97
timestamp: 2024-09-10T03:06:01+00:00
us_pacific_date: 2024-09-09
win_ratio: 0.5070318963139995
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name cycy233-l3-p-v2-c4-v2-mkmlizer
Waiting for job on cycy233-l3-p-v2-c4-v2-mkmlizer to finish
cycy233-l3-p-v2-c4-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v2-c4-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-l3-p-v2-c4-v2-mkmlizer: Downloaded to shared memory in 28.565s
cycy233-l3-p-v2-c4-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9eittc7o, device:0
cycy233-l3-p-v2-c4-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v2-c4-v2-mkmlizer: quantized model in 25.858s
cycy233-l3-p-v2-c4-v2-mkmlizer: Processed model cycy233/L3-p-v2-c4 in 54.423s
cycy233-l3-p-v2-c4-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v2-c4-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v2-c4-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v2-c4-v2
cycy233-l3-p-v2-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v2-c4-v2/tokenizer_config.json
cycy233-l3-p-v2-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v2-c4-v2/tokenizer.json
cycy233-l3-p-v2-c4-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v2-c4-v2/flywheel_model.0.safetensors
cycy233-l3-p-v2-c4-v2-mkmlizer: 
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Job cycy233-l3-p-v2-c4-v2-mkmlizer completed after 73.44s with status: succeeded
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Inference service cycy233-l3-p-v2-c4-v2 ready after 160.58695912361145s
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Received healthy response to inference request in 2.8382322788238525s
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Received healthy response to inference request in 1.7483727931976318s
Received healthy response to inference request in 2.6176698207855225s
Received healthy response to inference request in 2.219087600708008s
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5th percentile: 1.842515754699707
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20th percentile: 2.124944639205933
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v2-c4-v2-profiler-predictor-00001-deployment-xd624:/code/chaiverse_profiler_1725938020 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v2-c4-v2-profiler-predictor-00001-deployment-xd624 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725938020 && 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_1725938020/summary.json'
kubectl exec -it cycy233-l3-p-v2-c4-v2-profiler-predictor-00001-deployment-xd624 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725938020/summary.json'
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