developer_uid: rica40325
submission_id: rica40325-feedback-dpo-1_v1
model_name: rica40325-feedback-dpo-1_v1
model_group: rica40325/feedback_dpo_1
status: torndown
timestamp: 2024-09-10T04:08:42+00:00
num_battles: 10879
num_wins: 4842
celo_rating: 1199.98
family_friendly_score: 0.0
submission_type: basic
model_repo: rica40325/feedback_dpo_1
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.9001365457958393, 'latency_mean': 1.110846880674362, 'latency_p50': 1.111804485321045, 'latency_p90': 1.240002989768982}, {'batch_size': 4, 'throughput': 1.7834646418181843, 'latency_mean': 2.2323223721981047, 'latency_p50': 2.214232087135315, 'latency_p90': 2.4755945205688477}, {'batch_size': 5, 'throughput': 1.8436144288600866, 'latency_mean': 2.6991999328136442, 'latency_p50': 2.684322714805603, 'latency_p90': 3.0181952714920044}, {'batch_size': 8, 'throughput': 1.9759455906801826, 'latency_mean': 4.021194226741791, 'latency_p50': 4.02299439907074, 'latency_p90': 4.501471328735351}, {'batch_size': 10, 'throughput': 1.9918394260301455, 'latency_mean': 4.966296423673629, 'latency_p50': 4.977869629859924, 'latency_p90': 5.727089977264404}, {'batch_size': 12, 'throughput': 1.9919586127976976, 'latency_mean': 5.94659983754158, 'latency_p50': 5.9455941915512085, 'latency_p90': 7.020065402984619}, {'batch_size': 15, 'throughput': 2.0030616780250554, 'latency_mean': 7.33392229437828, 'latency_p50': 7.499969720840454, 'latency_p90': 8.190824151039124}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rica40325-feedback-dpo-1_v1
is_internal_developer: False
language_model: rica40325/feedback_dpo_1
model_size: 8B
ranking_group: single
throughput_3p7s: 1.97
us_pacific_date: 2024-09-09
win_ratio: 0.44507767258020037
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}
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}
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-dpo-1-v1-mkmlizer
Waiting for job on rica40325-feedback-dpo-1-v1-mkmlizer to finish
rica40325-feedback-dpo-1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-feedback-dpo-1-v1-mkmlizer: ║     _____            __           __                                ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║       /___/                                                         ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║  belonging to:                                                      ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
rica40325-feedback-dpo-1-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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rica40325-feedback-dpo-1-v1-mkmlizer: Downloaded to shared memory in 73.229s
rica40325-feedback-dpo-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpw9gsuq2w, device:0
rica40325-feedback-dpo-1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-feedback-dpo-1-v1-mkmlizer: quantized model in 29.029s
rica40325-feedback-dpo-1-v1-mkmlizer: Processed model rica40325/feedback_dpo_1 in 102.258s
rica40325-feedback-dpo-1-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-feedback-dpo-1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-feedback-dpo-1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-feedback-dpo-1-v1
rica40325-feedback-dpo-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-1-v1/config.json
rica40325-feedback-dpo-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-feedback-dpo-1-v1/special_tokens_map.json
rica40325-feedback-dpo-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-1-v1/tokenizer_config.json
rica40325-feedback-dpo-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-feedback-dpo-1-v1/tokenizer.json
rica40325-feedback-dpo-1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-feedback-dpo-1-v1/flywheel_model.0.safetensors
rica40325-feedback-dpo-1-v1-mkmlizer: 
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Job rica40325-feedback-dpo-1-v1-mkmlizer completed after 126.78s with status: succeeded
Stopping job with name rica40325-feedback-dpo-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 128.09s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.08s
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Running pipeline stage MKMLDeployer
Creating inference service rica40325-feedback-dpo-1-v1
Waiting for inference service rica40325-feedback-dpo-1-v1 to be ready
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Inference service rica40325-feedback-dpo-1-v1 ready after 151.04111552238464s
Pipeline stage MKMLDeployer completed in 153.49s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.073748826980591s
Received healthy response to inference request in 1.7086865901947021s
Received healthy response to inference request in 1.7226002216339111s
Received healthy response to inference request in 1.489062786102295s
Received healthy response to inference request in 1.9915502071380615s
5 requests
0 failed requests
5th percentile: 1.5329875469207763
10th percentile: 1.5769123077392577
20th percentile: 1.6647618293762207
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70th percentile: 1.9377602100372313
80th percentile: 2.007989931106567
90th percentile: 2.040869379043579
95th percentile: 2.057309103012085
99th percentile: 2.0704608821868895
mean time: 1.7971297264099122
Pipeline stage StressChecker completed in 11.06s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.11s
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Pipeline stage MKMLProfilerTemplater completed in 0.09s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service rica40325-feedback-dpo-1-v1-profiler
Waiting for inference service rica40325-feedback-dpo-1-v1-profiler to be ready
Inference service rica40325-feedback-dpo-1-v1-profiler ready after 140.32679748535156s
Pipeline stage MKMLProfilerDeployer completed in 140.66s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-feedback-dpo-1-v1-profiler-predictor-00001-deplohmbzb:/code/chaiverse_profiler_1725941796 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-feedback-dpo-1-v1-profiler-predictor-00001-deplohmbzb --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725941796 && 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_1725941796/summary.json'
kubectl exec -it rica40325-feedback-dpo-1-v1-profiler-predictor-00001-deplohmbzb --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725941796/summary.json'
Pipeline stage MKMLProfilerRunner completed in 850.21s
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Running pipeline stage MKMLProfilerDeleter
Checking if service rica40325-feedback-dpo-1-v1-profiler is running
Tearing down inference service rica40325-feedback-dpo-1-v1-profiler
Service rica40325-feedback-dpo-1-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.46s
Shutdown handler de-registered
rica40325-feedback-dpo-1_v1 status is now inactive due to auto deactivation removed underperforming models
rica40325-feedback-dpo-1_v1 status is now torndown due to DeploymentManager action