submission_id: jic062-dpo-v1-4-nemo_v1
developer_uid: chace9580
alignment_samples: 11301
alignment_score: -0.6298812609208609
best_of: 8
celo_rating: 1256.17
display_name: jic062-dpo-v1-4-nemo_v1
formatter: {'memory_template': '[INST]system\n{memory}[/INST]\n', 'prompt_template': '[INST]user\n{prompt}[/INST]\n', 'bot_template': '[INST]assistant\n{bot_name}: {message}[/INST]\n', 'user_template': '[INST]user\n{user_name}: {message}[/INST]\n', 'response_template': '[INST]assistant\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.75, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '[/INST]'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: jic062/dpo-v1.4-Nemo
latencies: [{'batch_size': 1, 'throughput': 0.6954093145760162, 'latency_mean': 1.4379336655139923, 'latency_p50': 1.4417091608047485, 'latency_p90': 1.6115710973739623}, {'batch_size': 3, 'throughput': 1.3239436651728167, 'latency_mean': 2.2595887684822085, 'latency_p50': 2.252263069152832, 'latency_p90': 2.504615139961243}, {'batch_size': 5, 'throughput': 1.5526127824060514, 'latency_mean': 3.2161102414131166, 'latency_p50': 3.2276936769485474, 'latency_p90': 3.5804072618484497}, {'batch_size': 6, 'throughput': 1.6085300247069791, 'latency_mean': 3.7052000510692595, 'latency_p50': 3.7128713130950928, 'latency_p90': 4.143717503547668}, {'batch_size': 8, 'throughput': 1.5984124471284038, 'latency_mean': 4.977137098312378, 'latency_p50': 5.005557179450989, 'latency_p90': 5.67095639705658}, {'batch_size': 10, 'throughput': 1.5492344983414457, 'latency_mean': 6.425411422252655, 'latency_p50': 6.41097104549408, 'latency_p90': 7.357632470130921}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: jic062/dpo-v1.4-Nemo
model_name: jic062-dpo-v1-4-nemo_v1
model_num_parameters: 12772070400.0
model_repo: jic062/dpo-v1.4-Nemo
model_size: 13B
num_battles: 11299
num_wins: 5834
propriety_score: 0.6982071713147411
propriety_total_count: 1004.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.62
timestamp: 2024-09-13T01:21:12+00:00
us_pacific_date: 2024-09-12
win_ratio: 0.5163288786618285
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run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name jic062-dpo-v1-4-nemo-v1-mkmlizer
Waiting for job on jic062-dpo-v1-4-nemo-v1-mkmlizer to finish
jic062-dpo-v1-4-nemo-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ _____ __ __ ║
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jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ /___/ ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ Version: 0.10.1 ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ https://mk1.ai ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ Chai Research Corp. ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ║ ║
jic062-dpo-v1-4-nemo-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jic062-dpo-v1-4-nemo-v1-mkmlizer: Downloaded to shared memory in 46.287s
jic062-dpo-v1-4-nemo-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2pytx8s3, device:0
jic062-dpo-v1-4-nemo-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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jic062-dpo-v1-4-nemo-v1-mkmlizer: quantized model in 35.537s
jic062-dpo-v1-4-nemo-v1-mkmlizer: Processed model jic062/dpo-v1.4-Nemo in 81.824s
jic062-dpo-v1-4-nemo-v1-mkmlizer: creating bucket guanaco-mkml-models
jic062-dpo-v1-4-nemo-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-dpo-v1-4-nemo-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-v1
jic062-dpo-v1-4-nemo-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-v1/special_tokens_map.json
jic062-dpo-v1-4-nemo-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-v1/config.json
jic062-dpo-v1-4-nemo-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-v1/tokenizer_config.json
jic062-dpo-v1-4-nemo-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-v1/tokenizer.json
jic062-dpo-v1-4-nemo-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-dpo-v1-4-nemo-v1/flywheel_model.0.safetensors
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Job jic062-dpo-v1-4-nemo-v1-mkmlizer completed after 107.82s with status: succeeded
Stopping job with name jic062-dpo-v1-4-nemo-v1-mkmlizer
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Creating inference service jic062-dpo-v1-4-nemo-v1
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Inference service jic062-dpo-v1-4-nemo-v1 ready after 170.467139005661s
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Received healthy response to inference request in 3.5545859336853027s
Received healthy response to inference request in 1.6317017078399658s
Received healthy response to inference request in 2.064210891723633s
Received healthy response to inference request in 2.1355557441711426s
Received healthy response to inference request in 2.7645394802093506s
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5th percentile: 1.7182035446166992
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90th percentile: 3.238567352294922
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99th percentile: 3.5229840755462645
mean time: 2.430118751525879
Pipeline stage StressChecker completed in 13.56s
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Inference service jic062-dpo-v1-4-nemo-v1-profiler ready after 170.39950323104858s
Pipeline stage MKMLProfilerDeployer completed in 170.84s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-dpo-v1-4-nemo-v1-profiler-predictor-00001-deploymenv7ztw:/code/chaiverse_profiler_1726190989 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-dpo-v1-4-nemo-v1-profiler-predictor-00001-deploymenv7ztw --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726190989 && python profiles.py profile --best_of_n 8 --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_1726190989/summary.json'
kubectl exec -it jic062-dpo-v1-4-nemo-v1-profiler-predictor-00001-deploymenv7ztw --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726190989/summary.json'
Pipeline stage MKMLProfilerRunner completed in 953.53s
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Running pipeline stage MKMLProfilerDeleter
Checking if service jic062-dpo-v1-4-nemo-v1-profiler is running
Tearing down inference service jic062-dpo-v1-4-nemo-v1-profiler
Service jic062-dpo-v1-4-nemo-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.98s
Shutdown handler de-registered
jic062-dpo-v1-4-nemo_v1 status is now inactive due to auto deactivation removed underperforming models