rica40325-feedback-dpo-8

submission_id: rica40325-feedback-dpo-8_v1

developer_uid: rica40325

alignment_samples: 14186

alignment_score: 3.086613490465402

best_of: 16

celo_rating: 1193.86

display_name: rica40325-feedback-dpo-8_v1

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

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: rica40325/feedback_dpo_8

latencies: [{'batch_size': 1, 'throughput': 0.9121392298883656, 'latency_mean': 1.0962369632720947, 'latency_p50': 1.0961217880249023, 'latency_p90': 1.224309778213501}, {'batch_size': 4, 'throughput': 1.799813565874019, 'latency_mean': 2.2138206148147583, 'latency_p50': 2.209741711616516, 'latency_p90': 2.496352767944336}, {'batch_size': 5, 'throughput': 1.8717890478662722, 'latency_mean': 2.6568470072746275, 'latency_p50': 2.669188380241394, 'latency_p90': 2.97242534160614}, {'batch_size': 8, 'throughput': 1.995698591560722, 'latency_mean': 3.979494217634201, 'latency_p50': 3.9977318048477173, 'latency_p90': 4.504805159568787}, {'batch_size': 10, 'throughput': 2.0229153557133355, 'latency_mean': 4.892616982460022, 'latency_p50': 4.826807498931885, 'latency_p90': 5.7358914613723755}, {'batch_size': 12, 'throughput': 2.0144481996483736, 'latency_mean': 5.876554342508316, 'latency_p50': 5.875905275344849, 'latency_p90': 6.77490086555481}, {'batch_size': 15, 'throughput': 1.9985761296294788, 'latency_mean': 7.361770433187485, 'latency_p50': 7.469679117202759, 'latency_p90': 8.19918508529663}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: rica40325/feedback_dpo_8

model_name: rica40325-feedback-dpo-8_v1

model_num_parameters: 8030261248.0

model_repo: rica40325/feedback_dpo_8

model_size: 8B

num_battles: 14183

num_wins: 6379

propriety_score: 0.795751633986928

propriety_total_count: 1224.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.99

timestamp: 2024-09-10T10:39:15+00:00

us_pacific_date: 2024-09-10

win_ratio: 0.44976380173447084

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Running pipeline stage MKMLizer
Starting job with name rica40325-feedback-dpo-8-v1-mkmlizer
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rica40325-feedback-dpo-8-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-feedback-dpo-8-v1-mkmlizer: ║     _____            __           __                                ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║       /___/                                                         ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║  belonging to:                                                      ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
rica40325-feedback-dpo-8-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-8-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-feedback-dpo-8-v1-mkmlizer: Downloaded to shared memory in 34.671s
rica40325-feedback-dpo-8-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpezkij4mq, device:0
rica40325-feedback-dpo-8-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-feedback-dpo-8-v1-mkmlizer: quantized model in 25.969s
rica40325-feedback-dpo-8-v1-mkmlizer: Processed model rica40325/feedback_dpo_8 in 60.640s
rica40325-feedback-dpo-8-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-feedback-dpo-8-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-feedback-dpo-8-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-feedback-dpo-8-v1
rica40325-feedback-dpo-8-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-8-v1/config.json
rica40325-feedback-dpo-8-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-feedback-dpo-8-v1/special_tokens_map.json
rica40325-feedback-dpo-8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-8-v1/tokenizer_config.json
rica40325-feedback-dpo-8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-feedback-dpo-8-v1/tokenizer.json
rica40325-feedback-dpo-8-v1-mkmlizer: 
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Job rica40325-feedback-dpo-8-v1-mkmlizer completed after 86.35s with status: succeeded
Stopping job with name rica40325-feedback-dpo-8-v1-mkmlizer
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Creating inference service rica40325-feedback-dpo-8-v1
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Failed to get response for submission neversleep-noromaid-v0_8068_v150: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:33448->127.0.0.1:8080: read: connection reset by peer\n')
Inference service rica40325-feedback-dpo-8-v1 ready after 160.80120372772217s
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Received healthy response to inference request in 1.724888563156128s
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Received healthy response to inference request in 1.5168359279632568s
Received healthy response to inference request in 2.105945587158203s
Received healthy response to inference request in 1.6457993984222412s
5 requests
0 failed requests
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mean time: 1.6748125076293945
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Inference service rica40325-feedback-dpo-8-v1-profiler ready after 180.5073161125183s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-feedback-dpo-8-v1-profiler-predictor-00001-deplog22vp:/code/chaiverse_profiler_1725965249 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-feedback-dpo-8-v1-profiler-predictor-00001-deplog22vp --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725965249 && 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_1725965249/summary.json'
kubectl exec -it rica40325-feedback-dpo-8-v1-profiler-predictor-00001-deplog22vp --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725965249/summary.json'
Pipeline stage MKMLProfilerRunner completed in 840.09s
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rica40325-feedback-dpo-8_v1 status is now inactive due to auto deactivation removed underperforming models