rica40325-feedback-7000

submission_id: rica40325-feedback-7000_v1

developer_uid: rica40325

alignment_samples: 11249

alignment_score: -0.09205584653557021

best_of: 16

celo_rating: 1247.01

display_name: rica40325-feedback-7000_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_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

propriety_score: 0.7445708376421923

propriety_total_count: 967.0

ranking_group: single

status: inactive

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

Download Preference Data

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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Inference service rica40325-feedback-7000-v1 ready after 150.45408129692078s
Pipeline stage MKMLDeployer completed in 151.64s
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Received healthy response to inference request in 1.4530465602874756s
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Received healthy response to inference request in 2.890165328979492s
Received healthy response to inference request in 2.2777271270751953s
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mean time: 2.2645630836486816
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Inference service rica40325-feedback-7000-v1-profiler ready after 150.36044073104858s
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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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rica40325-feedback-7000_v1 status is now inactive due to auto deactivation removed underperforming models