cycy233-nemo-p-e-v1-c3

submission_id: cycy233-nemo-p-e-v1-c3_v1

developer_uid: shiroe40

best_of: 8

celo_rating: 1263.48

display_name: auto

family_friendly_score: 0.0

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}

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': ['\n', '</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: cycy233/nemo-p-e-v1-c3

latencies: [{'batch_size': 1, 'throughput': 0.6155846563010595, 'latency_mean': 1.624373379945755, 'latency_p50': 1.6229028701782227, 'latency_p90': 1.7857540845870972}, {'batch_size': 3, 'throughput': 1.0727448516656457, 'latency_mean': 2.787091611623764, 'latency_p50': 2.808196783065796, 'latency_p90': 3.0717400789260862}, {'batch_size': 5, 'throughput': 1.2243535031867678, 'latency_mean': 4.068292338848114, 'latency_p50': 4.091710329055786, 'latency_p90': 4.505200362205505}, {'batch_size': 6, 'throughput': 1.2469159813975343, 'latency_mean': 4.785473554134369, 'latency_p50': 4.767965793609619, 'latency_p90': 5.360003876686096}, {'batch_size': 8, 'throughput': 1.2373261766429569, 'latency_mean': 6.430367133617401, 'latency_p50': 6.440223336219788, 'latency_p90': 7.3214757442474365}, {'batch_size': 10, 'throughput': 1.1895169575416615, 'latency_mean': 8.352566895484925, 'latency_p50': 8.447237014770508, 'latency_p90': 9.472878980636596}]

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: cycy233/nemo-p-e-v1-c3

model_name: auto

model_num_parameters: 12772070400.0

model_repo: cycy233/nemo-p-e-v1-c3

model_size: 13B

num_battles: 64641

num_wins: 33964

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 1.2

timestamp: 2024-09-23T06:38:07+00:00

us_pacific_date: 2024-09-22

win_ratio: 0.5254250398353986

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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 cycy233-nemo-p-e-v1-c3-v1-mkmlizer
Waiting for job on cycy233-nemo-p-e-v1-c3-v1-mkmlizer to finish
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║       /___/                                                         ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-nemo-p-e-v1-c3-v1-mkmlizer: Downloaded to shared memory in 49.214s
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmps4c12usw, device:0
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: quantized model in 38.808s
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: Processed model cycy233/nemo-p-e-v1-c3 in 88.023s
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c3-v1
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c3-v1/config.json
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c3-v1/special_tokens_map.json
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c3-v1/tokenizer_config.json
cycy233-nemo-p-e-v1-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c3-v1/tokenizer.json
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Job cycy233-nemo-p-e-v1-c3-v1-mkmlizer completed after 126.15s with status: succeeded
Stopping job with name cycy233-nemo-p-e-v1-c3-v1-mkmlizer
Pipeline stage MKMLizer completed in 127.78s
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Creating inference service cycy233-nemo-p-e-v1-c3-v1
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Inference service cycy233-nemo-p-e-v1-c3-v1 ready after 191.20775175094604s
Pipeline stage MKMLDeployer completed in 191.57s
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Running pipeline stage StressChecker
Received healthy response to inference request in 6.573538541793823s
Received healthy response to inference request in 1.7853705883026123s
Received healthy response to inference request in 1.989959716796875s
Received healthy response to inference request in 1.8729212284088135s
Received healthy response to inference request in 3.0607097148895264s
5 requests
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mean time: 3.05649995803833
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Inference service cycy233-nemo-p-e-v1-c3-v1-profiler ready after 190.46017837524414s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-e-v1-c3-v1-profiler-predictor-00001-deploymhfnc4:/code/chaiverse_profiler_1727074064 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-e-v1-c3-v1-profiler-predictor-00001-deploymhfnc4 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727074064 && python profiles.py profile --best_of_n 8 --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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1727074064/summary.json'
kubectl exec -it cycy233-nemo-p-e-v1-c3-v1-profiler-predictor-00001-deploymhfnc4 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727074064/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1169.83s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-nemo-p-e-v1-c3-v1-profiler is running
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Pipeline stage MKMLProfilerDeleter completed in 1.86s
Shutdown handler de-registered
cycy233-nemo-p-e-v1-c3_v1 status is now inactive due to auto deactivation removed underperforming models
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cycy233-nemo-p-e-v1-c4_v1 status is now torndown due to DeploymentManager action