submission_id: rica40325-dpo0904_v1
developer_uid: rica40325
alignment_samples: 13212
alignment_score: 0.7883016412328313
best_of: 16
celo_rating: 1171.68
display_name: rica40325-dpo0904_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/dpo0904
latencies: [{'batch_size': 1, 'throughput': 0.8916534766505932, 'latency_mean': 1.121422472000122, 'latency_p50': 1.1236674785614014, 'latency_p90': 1.25724139213562}, {'batch_size': 4, 'throughput': 1.7813601956231728, 'latency_mean': 2.229950214624405, 'latency_p50': 2.228931427001953, 'latency_p90': 2.52610867023468}, {'batch_size': 5, 'throughput': 1.8537487873443586, 'latency_mean': 2.681754792928696, 'latency_p50': 2.6970804929733276, 'latency_p90': 3.0072163105010983}, {'batch_size': 8, 'throughput': 1.9700690142093682, 'latency_mean': 4.044894660711289, 'latency_p50': 4.068016409873962, 'latency_p90': 4.561249232292175}, {'batch_size': 10, 'throughput': 1.9947544471293022, 'latency_mean': 4.9637329018116, 'latency_p50': 4.958483934402466, 'latency_p90': 5.655247712135314}, {'batch_size': 12, 'throughput': 1.9972146113430287, 'latency_mean': 5.920848928689956, 'latency_p50': 5.9869314432144165, 'latency_p90': 6.793820738792419}, {'batch_size': 15, 'throughput': 2.0036682385349307, 'latency_mean': 7.355240802764893, 'latency_p50': 7.459568977355957, 'latency_p90': 8.310866975784302}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/dpo0904
model_name: rica40325-dpo0904_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/dpo0904
model_size: 8B
num_battles: 13212
num_wins: 5375
propriety_score: 0.7275832621690862
propriety_total_count: 1171.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.96
timestamp: 2024-09-05T06:44:18+00:00
us_pacific_date: 2024-09-04
win_ratio: 0.40682712685437483
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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 rica40325-dpo0904-v1-mkmlizer
Waiting for job on rica40325-dpo0904-v1-mkmlizer to finish
rica40325-dpo0904-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-dpo0904-v1-mkmlizer: ║     _____            __           __                                ║
rica40325-dpo0904-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-dpo0904-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-dpo0904-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-dpo0904-v1-mkmlizer: ║       /___/                                                         ║
rica40325-dpo0904-v1-mkmlizer: ║                                                                     ║
rica40325-dpo0904-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
rica40325-dpo0904-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-dpo0904-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-dpo0904-v1-mkmlizer: ║                                                                     ║
rica40325-dpo0904-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-dpo0904-v1-mkmlizer: ║  belonging to:                                                      ║
rica40325-dpo0904-v1-mkmlizer: ║                                                                     ║
rica40325-dpo0904-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-dpo0904-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-dpo0904-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
rica40325-dpo0904-v1-mkmlizer: ║                                                                     ║
rica40325-dpo0904-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-dpo0904-v1-mkmlizer: Downloaded to shared memory in 64.979s
rica40325-dpo0904-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnauuyfab, device:0
rica40325-dpo0904-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-dpo0904-v1-mkmlizer: quantized model in 30.250s
rica40325-dpo0904-v1-mkmlizer: Processed model rica40325/dpo0904 in 95.229s
rica40325-dpo0904-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-dpo0904-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-dpo0904-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-dpo0904-v1
rica40325-dpo0904-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-dpo0904-v1/config.json
rica40325-dpo0904-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-dpo0904-v1/special_tokens_map.json
rica40325-dpo0904-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-dpo0904-v1/tokenizer_config.json
rica40325-dpo0904-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-dpo0904-v1/flywheel_model.0.safetensors
rica40325-dpo0904-v1-mkmlizer: 
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Job rica40325-dpo0904-v1-mkmlizer completed after 115.16s with status: succeeded
Stopping job with name rica40325-dpo0904-v1-mkmlizer
Pipeline stage MKMLizer completed in 116.05s
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Creating inference service rica40325-dpo0904-v1
Waiting for inference service rica40325-dpo0904-v1 to be ready
Inference service rica40325-dpo0904-v1 ready after 140.8246204853058s
Pipeline stage MKMLDeployer completed in 141.24s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.9277334213256836s
Received healthy response to inference request in 1.7556605339050293s
Received healthy response to inference request in 1.609919548034668s
Received healthy response to inference request in 1.3854544162750244s
Received healthy response to inference request in 2.303347587585449s
5 requests
0 failed requests
5th percentile: 1.4303474426269531
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mean time: 1.7964231014251708
Pipeline stage StressChecker completed in 9.73s
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Inference service rica40325-dpo0904-v1-profiler ready after 150.33788299560547s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-dpo0904-v1-profiler-predictor-00001-deployment-5xws6r:/code/chaiverse_profiler_1725519114 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-dpo0904-v1-profiler-predictor-00001-deployment-5xws6r --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725519114 && 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_1725519114/summary.json'
kubectl exec -it rica40325-dpo0904-v1-profiler-predictor-00001-deployment-5xws6r --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725519114/summary.json'
Pipeline stage MKMLProfilerRunner completed in 852.10s
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Running pipeline stage MKMLProfilerDeleter
Checking if service rica40325-dpo0904-v1-profiler is running
Tearing down inference service rica40325-dpo0904-v1-profiler
Service rica40325-dpo0904-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.55s
Shutdown handler de-registered
rica40325-dpo0904_v1 status is now inactive due to auto deactivation removed underperforming models

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