jic062-dpo-v1-4-c500

submission_id: jic062-dpo-v1-4-c500_v2

developer_uid: chace9580

best_of: 16

celo_rating: 1249.47

display_name: jic062-dpo-v1-4-c500_v1

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': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '|eot_id|', '|end_header_id|'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: jic062/dpo-v1.4-c500

latencies: [{'batch_size': 1, 'throughput': 0.8983404917071192, 'latency_mean': 1.1131040024757386, 'latency_p50': 1.1094671487808228, 'latency_p90': 1.2346838474273683}, {'batch_size': 3, 'throughput': 1.5782686933491783, 'latency_mean': 1.8963203847408294, 'latency_p50': 1.8965474367141724, 'latency_p90': 2.1292937994003296}, {'batch_size': 5, 'throughput': 1.7227629938416447, 'latency_mean': 2.8900255227088927, 'latency_p50': 2.853773832321167, 'latency_p90': 3.231691098213196}, {'batch_size': 6, 'throughput': 1.7452550504864048, 'latency_mean': 3.421988126039505, 'latency_p50': 3.4452861547470093, 'latency_p90': 3.851968455314636}, {'batch_size': 8, 'throughput': 1.7450483649784458, 'latency_mean': 4.5585196387767795, 'latency_p50': 4.562340259552002, 'latency_p90': 5.115764331817627}, {'batch_size': 10, 'throughput': 1.73646202259271, 'latency_mean': 5.701856801509857, 'latency_p50': 5.729152798652649, 'latency_p90': 6.595565271377564}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: jic062/dpo-v1.4-c500

model_name: jic062-dpo-v1-4-c500_v1

model_num_parameters: 8030261248.0

model_repo: jic062/dpo-v1.4-c500

model_size: 8B

num_battles: 14408

num_wins: 7371

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 1.75

timestamp: 2024-09-08T19:19:41+00:00

us_pacific_date: 2024-09-08

win_ratio: 0.5115907828983898

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-c500-v2-mkmlizer
Waiting for job on jic062-dpo-v1-4-c500-v2-mkmlizer to finish
jic062-dpo-v1-4-c500-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-dpo-v1-4-c500-v2-mkmlizer: ║     _____            __           __                                ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║       /___/                                                         ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║                                                                     ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║  https://mk1.ai                                                     ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║                                                                     ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║  belonging to:                                                      ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║                                                                     ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║  Chai Research Corp.                                                ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ║                                                                     ║
jic062-dpo-v1-4-c500-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jic062-dpo-v1-4-c500-v2-mkmlizer: Downloaded to shared memory in 21.278s
jic062-dpo-v1-4-c500-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxfmicgb9, device:0
jic062-dpo-v1-4-c500-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-dpo-v1-4-c500-v2-mkmlizer: quantized model in 25.747s
jic062-dpo-v1-4-c500-v2-mkmlizer: Processed model jic062/dpo-v1.4-c500 in 47.026s
jic062-dpo-v1-4-c500-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-dpo-v1-4-c500-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-dpo-v1-4-c500-v2
jic062-dpo-v1-4-c500-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-dpo-v1-4-c500-v2/config.json
jic062-dpo-v1-4-c500-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-dpo-v1-4-c500-v2/special_tokens_map.json
jic062-dpo-v1-4-c500-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-dpo-v1-4-c500-v2/tokenizer_config.json
jic062-dpo-v1-4-c500-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-dpo-v1-4-c500-v2/tokenizer.json
jic062-dpo-v1-4-c500-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-dpo-v1-4-c500-v2/flywheel_model.0.safetensors
jic062-dpo-v1-4-c500-v2-mkmlizer: 
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Job jic062-dpo-v1-4-c500-v2-mkmlizer completed after 64.53s with status: succeeded
Stopping job with name jic062-dpo-v1-4-c500-v2-mkmlizer
Pipeline stage MKMLizer completed in 66.18s
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Creating inference service jic062-dpo-v1-4-c500-v2
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Inference service jic062-dpo-v1-4-c500-v2 ready after 150.68559861183167s
Pipeline stage MKMLDeployer completed in 151.20s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.395526885986328s
Received healthy response to inference request in 2.0574541091918945s
Received healthy response to inference request in 1.7869131565093994s
Received healthy response to inference request in 1.5922601222991943s
Received healthy response to inference request in 2.184478282928467s
5 requests
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5th percentile: 1.6311907291412353
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99th percentile: 2.3870849418640137
mean time: 2.0033265113830567
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Inference service jic062-dpo-v1-4-c500-v2-profiler ready after 150.35463690757751s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-dpo-v1-4-c500-v2-profiler-predictor-00001-deploymenxlx94:/code/chaiverse_profiler_1725823609 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-dpo-v1-4-c500-v2-profiler-predictor-00001-deploymenxlx94 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725823609 && 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_1725823609/summary.json'
kubectl exec -it jic062-dpo-v1-4-c500-v2-profiler-predictor-00001-deploymenxlx94 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725823609/summary.json'
Pipeline stage MKMLProfilerRunner completed in 815.84s
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Running pipeline stage MKMLProfilerDeleter
Checking if service jic062-dpo-v1-4-c500-v2-profiler is running
Tearing down inference service jic062-dpo-v1-4-c500-v2-profiler
Service jic062-dpo-v1-4-c500-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.59s
Shutdown handler de-registered
jic062-dpo-v1-4-c500_v2 status is now inactive due to auto deactivation removed underperforming models
jic062-dpo-v1-4-c500_v2 status is now torndown due to DeploymentManager action