jic062-dpo-v1-nemo

submission_id: jic062-dpo-v1-nemo_v3

developer_uid: chace9580

alignment_samples: 11651

alignment_score: 3.504921195872371

best_of: 8

celo_rating: 833.76

display_name: jic062-dpo-v1-nemo_v2

formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '', 'user_template': '', 'response_template': '', 'truncate_by_message': False}

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

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: jic062/dpo-v1-Nemo

latencies: [{'batch_size': 1, 'throughput': 0.6962908812037444, 'latency_mean': 1.436084886789322, 'latency_p50': 1.438718557357788, 'latency_p90': 1.6030754566192627}, {'batch_size': 3, 'throughput': 1.3223977828168285, 'latency_mean': 2.2675793242454527, 'latency_p50': 2.286741852760315, 'latency_p90': 2.5000020265579224}, {'batch_size': 5, 'throughput': 1.547673507856371, 'latency_mean': 3.2131723058223725, 'latency_p50': 3.205398201942444, 'latency_p90': 3.6095923662185667}, {'batch_size': 6, 'throughput': 1.600662621715721, 'latency_mean': 3.727473603487015, 'latency_p50': 3.7468535900115967, 'latency_p90': 4.238950896263122}, {'batch_size': 8, 'throughput': 1.5701299376462328, 'latency_mean': 5.069521301984787, 'latency_p50': 5.019721627235413, 'latency_p90': 5.873053860664368}, {'batch_size': 10, 'throughput': 1.5310534777692537, 'latency_mean': 6.478893260955811, 'latency_p50': 6.577357649803162, 'latency_p90': 7.3410313606262205}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: jic062/dpo-v1-Nemo

model_name: jic062-dpo-v1-nemo_v2

model_num_parameters: 12772070400.0

model_repo: jic062/dpo-v1-Nemo

model_size: 13B

num_battles: 11651

num_wins: 1007

propriety_score: 0.5306513409961686

propriety_total_count: 1044.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.61

timestamp: 2024-09-09T17:09:42+00:00

us_pacific_date: 2024-09-09

win_ratio: 0.0864303493262381

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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-nemo-v3-mkmlizer
Waiting for job on jic062-dpo-v1-nemo-v3-mkmlizer to finish
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jic062-dpo-v1-nemo-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-dpo-v1-nemo-v3-mkmlizer: ║     _____            __           __                                ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║       /___/                                                         ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║                                                                     ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║  Version: 0.10.1                                                    ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║  https://mk1.ai                                                     ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║                                                                     ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║  belonging to:                                                      ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║                                                                     ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║  Chai Research Corp.                                                ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jic062-dpo-v1-nemo-v3-mkmlizer: ║                                                                     ║
jic062-dpo-v1-nemo-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Retrying (%r) after connection broken by '%r': %s
jic062-dpo-v1-nemo-v3-mkmlizer: Downloaded to shared memory in 28.398s
jic062-dpo-v1-nemo-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7yyg2b7l, device:0
jic062-dpo-v1-nemo-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-dpo-v1-nemo-v3-mkmlizer: quantized model in 35.811s
jic062-dpo-v1-nemo-v3-mkmlizer: Processed model jic062/dpo-v1-Nemo in 64.210s
jic062-dpo-v1-nemo-v3-mkmlizer: creating bucket guanaco-mkml-models
jic062-dpo-v1-nemo-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-dpo-v1-nemo-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-dpo-v1-nemo-v3
jic062-dpo-v1-nemo-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-dpo-v1-nemo-v3/config.json
jic062-dpo-v1-nemo-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-dpo-v1-nemo-v3/special_tokens_map.json
jic062-dpo-v1-nemo-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-dpo-v1-nemo-v3/tokenizer_config.json
jic062-dpo-v1-nemo-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-dpo-v1-nemo-v3/tokenizer.json
jic062-dpo-v1-nemo-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-dpo-v1-nemo-v3/flywheel_model.0.safetensors
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Job jic062-dpo-v1-nemo-v3-mkmlizer completed after 85.98s with status: succeeded
Stopping job with name jic062-dpo-v1-nemo-v3-mkmlizer
Pipeline stage MKMLizer completed in 87.18s
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Pipeline stage MKMLTemplater completed in 0.09s
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Running pipeline stage MKMLDeployer
Creating inference service jic062-dpo-v1-nemo-v3
Waiting for inference service jic062-dpo-v1-nemo-v3 to be ready
Failed to get response for submission epiculous-azure-dusk-v0-2_v1: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:59188->127.0.0.1:8080: read: connection reset by peer\n')
Failed to get response for submission blend_siken_2024-09-09: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'readfrom tcp 127.0.0.1:37568->127.0.0.1:8080: write tcp 127.0.0.1:37568->127.0.0.1:8080: use of closed network connection\n')
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Inference service jic062-dpo-v1-nemo-v3 ready after 150.6018831729889s
Pipeline stage MKMLDeployer completed in 151.27s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2581875324249268s
Received healthy response to inference request in 1.6919026374816895s
Received healthy response to inference request in 1.7259552478790283s
Received healthy response to inference request in 1.933830738067627s
Received healthy response to inference request in 1.6427502632141113s
5 requests
0 failed requests
5th percentile: 1.652580738067627
10th percentile: 1.6624112129211426
20th percentile: 1.6820721626281738
30th percentile: 1.6987131595611573
40th percentile: 1.7123342037200928
50th percentile: 1.7259552478790283
60th percentile: 1.8091054439544678
70th percentile: 1.892255640029907
80th percentile: 1.998702096939087
90th percentile: 2.1284448146820067
95th percentile: 2.1933161735534665
99th percentile: 2.2452132606506345
mean time: 1.8505252838134765
Pipeline stage StressChecker completed in 11.42s
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service jic062-dpo-v1-nemo-v3-profiler
Waiting for inference service jic062-dpo-v1-nemo-v3-profiler to be ready
Inference service jic062-dpo-v1-nemo-v3-profiler ready after 150.373211145401s
Pipeline stage MKMLProfilerDeployer completed in 150.74s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-dpo-v1-nemo-v3-profiler-predictor-00001-deployment-9pzgh:/code/chaiverse_profiler_1725902258 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-dpo-v1-nemo-v3-profiler-predictor-00001-deployment-9pzgh --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725902258 && 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_1725902258/summary.json'
kubectl exec -it jic062-dpo-v1-nemo-v3-profiler-predictor-00001-deployment-9pzgh --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725902258/summary.json'
Pipeline stage MKMLProfilerRunner completed in 958.80s
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Running pipeline stage MKMLProfilerDeleter
Checking if service jic062-dpo-v1-nemo-v3-profiler is running
Tearing down inference service jic062-dpo-v1-nemo-v3-profiler
Service jic062-dpo-v1-nemo-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.89s
Shutdown handler de-registered
jic062-dpo-v1-nemo_v3 status is now inactive due to auto deactivation removed underperforming models