jic062-dpo-v1-4-nemo

developer_uid: chace9580

submission_id: jic062-dpo-v1-4-nemo_v1

model_name: jic062-dpo-v1-4-nemo_v1

model_group: jic062/dpo-v1.4-Nemo

status: torndown

timestamp: 2024-09-13T01:21:12+00:00

num_battles: 11299

num_wins: 5834

celo_rating: 1256.35

family_friendly_score: 0.0

submission_type: basic

model_repo: jic062/dpo-v1.4-Nemo

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 512

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6954093145760162, 'latency_mean': 1.4379336655139923, 'latency_p50': 1.4417091608047485, 'latency_p90': 1.6115710973739623}, {'batch_size': 3, 'throughput': 1.3239436651728167, 'latency_mean': 2.2595887684822085, 'latency_p50': 2.252263069152832, 'latency_p90': 2.504615139961243}, {'batch_size': 5, 'throughput': 1.5526127824060514, 'latency_mean': 3.2161102414131166, 'latency_p50': 3.2276936769485474, 'latency_p90': 3.5804072618484497}, {'batch_size': 6, 'throughput': 1.6085300247069791, 'latency_mean': 3.7052000510692595, 'latency_p50': 3.7128713130950928, 'latency_p90': 4.143717503547668}, {'batch_size': 8, 'throughput': 1.5984124471284038, 'latency_mean': 4.977137098312378, 'latency_p50': 5.005557179450989, 'latency_p90': 5.67095639705658}, {'batch_size': 10, 'throughput': 1.5492344983414457, 'latency_mean': 6.425411422252655, 'latency_p50': 6.41097104549408, 'latency_p90': 7.357632470130921}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: jic062-dpo-v1-4-nemo_v1

is_internal_developer: False

language_model: jic062/dpo-v1.4-Nemo

model_size: 13B

ranking_group: single

throughput_3p7s: 1.62

us_pacific_date: 2024-09-12

win_ratio: 0.5163288786618285

generation_params: {'temperature': 0.75, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '[/INST]'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '[INST]system\n{memory}[/INST]\n', 'prompt_template': '[INST]user\n{prompt}[/INST]\n', 'bot_template': '[INST]assistant\n{bot_name}: {message}[/INST]\n', 'user_template': '[INST]user\n{user_name}: {message}[/INST]\n', 'response_template': '[INST]assistant\n{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 jic062-dpo-v1-4-nemo-v1-mkmlizer
Waiting for job on jic062-dpo-v1-4-nemo-v1-mkmlizer to finish
jic062-dpo-v1-4-nemo-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║     _____            __           __                                ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║       /___/                                                         ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║                                                                     ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║  https://mk1.ai                                                     ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║                                                                     ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║  belonging to:                                                      ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║                                                                     ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║  Chai Research Corp.                                                ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║                                                                     ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jic062-dpo-v1-4-nemo-v1-mkmlizer: Downloaded to shared memory in 46.287s
jic062-dpo-v1-4-nemo-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2pytx8s3, device:0
jic062-dpo-v1-4-nemo-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
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jic062-dpo-v1-4-nemo-v1-mkmlizer: quantized model in 35.537s
jic062-dpo-v1-4-nemo-v1-mkmlizer: Processed model jic062/dpo-v1.4-Nemo in 81.824s
jic062-dpo-v1-4-nemo-v1-mkmlizer: creating bucket guanaco-mkml-models
jic062-dpo-v1-4-nemo-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-dpo-v1-4-nemo-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-v1
jic062-dpo-v1-4-nemo-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-v1/special_tokens_map.json
jic062-dpo-v1-4-nemo-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-v1/config.json
jic062-dpo-v1-4-nemo-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-v1/tokenizer_config.json
jic062-dpo-v1-4-nemo-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-v1/tokenizer.json
jic062-dpo-v1-4-nemo-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-v1/flywheel_model.0.safetensors
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Job jic062-dpo-v1-4-nemo-v1-mkmlizer completed after 107.82s with status: succeeded
Stopping job with name jic062-dpo-v1-4-nemo-v1-mkmlizer
Pipeline stage MKMLizer completed in 109.21s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.10s
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Running pipeline stage MKMLDeployer
Creating inference service jic062-dpo-v1-4-nemo-v1
Waiting for inference service jic062-dpo-v1-4-nemo-v1 to be ready
Inference service jic062-dpo-v1-4-nemo-v1 ready after 170.467139005661s
Pipeline stage MKMLDeployer completed in 170.89s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.5545859336853027s
Received healthy response to inference request in 1.6317017078399658s
Received healthy response to inference request in 2.064210891723633s
Received healthy response to inference request in 2.1355557441711426s
Received healthy response to inference request in 2.7645394802093506s
5 requests
0 failed requests
5th percentile: 1.7182035446166992
10th percentile: 1.8047053813934326
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70th percentile: 2.638742733001709
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90th percentile: 3.238567352294922
95th percentile: 3.3965766429901123
99th percentile: 3.5229840755462645
mean time: 2.430118751525879
Pipeline stage StressChecker completed in 13.56s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 9.66s
Shutdown handler de-registered
jic062-dpo-v1-4-nemo_v1 status is now deployed due to DeploymentManager action
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Creating inference service jic062-dpo-v1-4-nemo-v1-profiler
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Inference service jic062-dpo-v1-4-nemo-v1-profiler ready after 170.39950323104858s
Pipeline stage MKMLProfilerDeployer completed in 170.84s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-dpo-v1-4-nemo-v1-profiler-predictor-00001-deploymenv7ztw:/code/chaiverse_profiler_1726190989 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-dpo-v1-4-nemo-v1-profiler-predictor-00001-deploymenv7ztw --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726190989 && 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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1726190989/summary.json'
kubectl exec -it jic062-dpo-v1-4-nemo-v1-profiler-predictor-00001-deploymenv7ztw --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726190989/summary.json'
Pipeline stage MKMLProfilerRunner completed in 953.53s
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Running pipeline stage MKMLProfilerDeleter
Checking if service jic062-dpo-v1-4-nemo-v1-profiler is running
Tearing down inference service jic062-dpo-v1-4-nemo-v1-profiler
Service jic062-dpo-v1-4-nemo-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.98s
Shutdown handler de-registered
jic062-dpo-v1-4-nemo_v1 status is now inactive due to auto deactivation removed underperforming models
jic062-dpo-v1-4-nemo_v1 status is now torndown due to DeploymentManager action