rica40325-feedback-7000

submission_id: rica40325-feedback-7000_v1

developer_uid: rica40325

best_of: 16

celo_rating: 1247.17

display_name: rica40325-feedback-7000_v1

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': 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_7000

latencies: [{'batch_size': 1, 'throughput': 0.9218640214281145, 'latency_mean': 1.0846773529052733, 'latency_p50': 1.0797662734985352, 'latency_p90': 1.2191179037094115}, {'batch_size': 4, 'throughput': 1.8281990275475044, 'latency_mean': 2.1816142916679384, 'latency_p50': 2.189477801322937, 'latency_p90': 2.4715282678604127}, {'batch_size': 5, 'throughput': 1.892040693158459, 'latency_mean': 2.629677965641022, 'latency_p50': 2.660887360572815, 'latency_p90': 2.9338236808776856}, {'batch_size': 8, 'throughput': 2.0579337103301922, 'latency_mean': 3.862643687725067, 'latency_p50': 3.8872724771499634, 'latency_p90': 4.317816996574401}, {'batch_size': 10, 'throughput': 2.0626430839556797, 'latency_mean': 4.79650648355484, 'latency_p50': 4.798105001449585, 'latency_p90': 5.567922163009643}, {'batch_size': 12, 'throughput': 2.059600220551777, 'latency_mean': 5.752856893539429, 'latency_p50': 5.802332520484924, 'latency_p90': 6.642658352851868}, {'batch_size': 15, 'throughput': 2.043122877142347, 'latency_mean': 7.1838078272342685, 'latency_p50': 7.317056894302368, 'latency_p90': 8.01842279434204}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: rica40325/feedback_7000

model_name: rica40325-feedback-7000_v1

model_num_parameters: 8030261248.0

model_repo: rica40325/feedback_7000

model_size: 8B

num_battles: 11249

num_wins: 5726

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 2.06

timestamp: 2024-09-09T09:24:35+00:00

us_pacific_date: 2024-09-09

win_ratio: 0.5090230242688238

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 rica40325-feedback-7000-v1-mkmlizer
Waiting for job on rica40325-feedback-7000-v1-mkmlizer to finish
rica40325-feedback-7000-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-feedback-7000-v1-mkmlizer: ║     _____            __           __                                ║
rica40325-feedback-7000-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-feedback-7000-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-feedback-7000-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-feedback-7000-v1-mkmlizer: ║       /___/                                                         ║
rica40325-feedback-7000-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-7000-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
rica40325-feedback-7000-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-feedback-7000-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-feedback-7000-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-7000-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-feedback-7000-v1-mkmlizer: ║  belonging to:                                                      ║
rica40325-feedback-7000-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-7000-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-feedback-7000-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-feedback-7000-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
rica40325-feedback-7000-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-7000-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-feedback-7000-v1-mkmlizer: Downloaded to shared memory in 60.774s
rica40325-feedback-7000-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqjltp04s, device:0
rica40325-feedback-7000-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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rica40325-feedback-7000-v1-mkmlizer: quantized model in 29.267s
rica40325-feedback-7000-v1-mkmlizer: Processed model rica40325/feedback_7000 in 90.041s
rica40325-feedback-7000-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-feedback-7000-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-feedback-7000-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-feedback-7000-v1
rica40325-feedback-7000-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-feedback-7000-v1/config.json
rica40325-feedback-7000-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-feedback-7000-v1/special_tokens_map.json
rica40325-feedback-7000-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-feedback-7000-v1/tokenizer_config.json
rica40325-feedback-7000-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-feedback-7000-v1/tokenizer.json
rica40325-feedback-7000-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-feedback-7000-v1/flywheel_model.0.safetensors
rica40325-feedback-7000-v1-mkmlizer: 
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Job rica40325-feedback-7000-v1-mkmlizer completed after 115.37s with status: succeeded
Stopping job with name rica40325-feedback-7000-v1-mkmlizer
Pipeline stage MKMLizer completed in 117.52s
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Pipeline stage MKMLTemplater completed in 0.09s
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Creating inference service rica40325-feedback-7000-v1
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Inference service rica40325-feedback-7000-v1 ready after 150.45408129692078s
Pipeline stage MKMLDeployer completed in 151.64s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.8933119773864746s
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Received healthy response to inference request in 1.4530465602874756s
Received healthy response to inference request in 1.8085644245147705s
Received healthy response to inference request in 2.890165328979492s
Received healthy response to inference request in 2.2777271270751953s
5 requests
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mean time: 2.2645630836486816
Pipeline stage StressChecker completed in 12.35s
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Inference service rica40325-feedback-7000-v1-profiler ready after 150.36044073104858s
Pipeline stage MKMLProfilerDeployer completed in 150.73s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-feedback-7000-v1-profiler-predictor-00001-deploy52bh2:/code/chaiverse_profiler_1725874358 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-feedback-7000-v1-profiler-predictor-00001-deploy52bh2 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725874358 && 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_1725874358/summary.json'
kubectl exec -it rica40325-feedback-7000-v1-profiler-predictor-00001-deploy52bh2 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725874358/summary.json'
Pipeline stage MKMLProfilerRunner completed in 826.23s
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Running pipeline stage MKMLProfilerDeleter
Checking if service rica40325-feedback-7000-v1-profiler is running
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Pipeline stage MKMLProfilerDeleter completed in 1.65s
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rica40325-feedback-7000_v1 status is now inactive due to auto deactivation removed underperforming models
rica40325-feedback-7000_v1 status is now torndown due to DeploymentManager action