submission_id: rica40325-feedback-retry_v1
developer_uid: rica40325
alignment_samples: 12201
alignment_score: -0.12314030597203443
best_of: 16
celo_rating: 1249.24
display_name: rica40325-feedback-retry_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_retry
latencies: [{'batch_size': 1, 'throughput': 0.9119415556275932, 'latency_mean': 1.0965008628368378, 'latency_p50': 1.0901466608047485, 'latency_p90': 1.2291062593460083}, {'batch_size': 4, 'throughput': 1.818204690889935, 'latency_mean': 2.183892914056778, 'latency_p50': 2.1910877227783203, 'latency_p90': 2.4448729276657106}, {'batch_size': 5, 'throughput': 1.8965576534720263, 'latency_mean': 2.621624330282211, 'latency_p50': 2.6042264699935913, 'latency_p90': 2.9383231163024903}, {'batch_size': 8, 'throughput': 2.017273157277461, 'latency_mean': 3.9296420085430146, 'latency_p50': 3.939175248146057, 'latency_p90': 4.439392185211181}, {'batch_size': 10, 'throughput': 2.0500496492489266, 'latency_mean': 4.827016301155091, 'latency_p50': 4.804193377494812, 'latency_p90': 5.67978184223175}, {'batch_size': 12, 'throughput': 2.041101604790579, 'latency_mean': 5.7965815794467925, 'latency_p50': 5.803443908691406, 'latency_p90': 6.753988862037659}, {'batch_size': 15, 'throughput': 2.067808479448717, 'latency_mean': 7.0866993403434755, 'latency_p50': 7.227775573730469, 'latency_p90': 7.877237772941589}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/feedback_retry
model_name: rica40325-feedback-retry_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/feedback_retry
model_size: 8B
num_battles: 12201
num_wins: 6242
propriety_score: 0.74447646493756
propriety_total_count: 1041.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 2.02
timestamp: 2024-09-07T06:48:22+00:00
us_pacific_date: 2024-09-06
win_ratio: 0.5115974100483567
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-retry-v1-mkmlizer
Waiting for job on rica40325-feedback-retry-v1-mkmlizer to finish
rica40325-feedback-retry-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-feedback-retry-v1-mkmlizer: ║     _____            __           __                                ║
rica40325-feedback-retry-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-feedback-retry-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-feedback-retry-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-feedback-retry-v1-mkmlizer: ║       /___/                                                         ║
rica40325-feedback-retry-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-retry-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
rica40325-feedback-retry-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-feedback-retry-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-feedback-retry-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-retry-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-feedback-retry-v1-mkmlizer: ║  belonging to:                                                      ║
rica40325-feedback-retry-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-retry-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-feedback-retry-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-feedback-retry-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
rica40325-feedback-retry-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-retry-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-feedback-retry-v1-mkmlizer: Downloaded to shared memory in 65.734s
rica40325-feedback-retry-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpm152lqk8, device:0
rica40325-feedback-retry-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-feedback-retry-v1-mkmlizer: quantized model in 28.804s
rica40325-feedback-retry-v1-mkmlizer: Processed model rica40325/feedback_retry in 94.538s
rica40325-feedback-retry-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-feedback-retry-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-feedback-retry-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-feedback-retry-v1
rica40325-feedback-retry-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-feedback-retry-v1/config.json
rica40325-feedback-retry-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-feedback-retry-v1/special_tokens_map.json
rica40325-feedback-retry-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-feedback-retry-v1/tokenizer_config.json
rica40325-feedback-retry-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-feedback-retry-v1/tokenizer.json
rica40325-feedback-retry-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-feedback-retry-v1/flywheel_model.0.safetensors
rica40325-feedback-retry-v1-mkmlizer: 
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Job rica40325-feedback-retry-v1-mkmlizer completed after 116.79s with status: succeeded
Stopping job with name rica40325-feedback-retry-v1-mkmlizer
Pipeline stage MKMLizer completed in 117.78s
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Creating inference service rica40325-feedback-retry-v1
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Inference service rica40325-feedback-retry-v1 ready after 150.81873989105225s
Pipeline stage MKMLDeployer completed in 151.14s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.09370756149292s
Received healthy response to inference request in 1.7786483764648438s
Received healthy response to inference request in 1.83674955368042s
Received healthy response to inference request in 2.3314459323883057s
Received healthy response to inference request in 2.043182373046875s
5 requests
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mean time: 2.016746759414673
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Inference service rica40325-feedback-retry-v1-profiler ready after 150.36371850967407s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-feedback-retry-v1-profiler-predictor-00001-deploqj4bx:/code/chaiverse_profiler_1725692186 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-feedback-retry-v1-profiler-predictor-00001-deploqj4bx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725692186 && 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_1725692186/summary.json'
kubectl exec -it rica40325-feedback-retry-v1-profiler-predictor-00001-deploqj4bx --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725692186/summary.json'
Pipeline stage MKMLProfilerRunner completed in 833.74s
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Checking if service rica40325-feedback-retry-v1-profiler is running
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Service rica40325-feedback-retry-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.77s
Shutdown handler de-registered
rica40325-feedback-retry_v1 status is now inactive due to auto deactivation removed underperforming models

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