developer_uid: rica40325
submission_id: rica40325-feedback-dpo-9_v1
model_name: rica40325-feedback-dpo-9_v1
model_group: rica40325/feedback_dpo_9
status: torndown
timestamp: 2024-09-10T12:55:24+00:00
num_battles: 13136
num_wins: 1460
celo_rating: 881.24
family_friendly_score: 0.0
submission_type: basic
model_repo: rica40325/feedback_dpo_9
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.8998894177426442, 'latency_mean': 1.1110480165481567, 'latency_p50': 1.1088038682937622, 'latency_p90': 1.2434007406234742}, {'batch_size': 4, 'throughput': 1.7944293582429935, 'latency_mean': 2.224544736146927, 'latency_p50': 2.2166746854782104, 'latency_p90': 2.4831729412078856}, {'batch_size': 5, 'throughput': 1.830484405117379, 'latency_mean': 2.7196512925624847, 'latency_p50': 2.7399768829345703, 'latency_p90': 3.0092746734619142}, {'batch_size': 8, 'throughput': 1.988863527132037, 'latency_mean': 3.98611200094223, 'latency_p50': 4.014537930488586, 'latency_p90': 4.480864691734314}, {'batch_size': 10, 'throughput': 2.034223785577973, 'latency_mean': 4.85961641907692, 'latency_p50': 4.824062705039978, 'latency_p90': 5.556448531150818}, {'batch_size': 12, 'throughput': 1.9976758435659607, 'latency_mean': 5.924905754327774, 'latency_p50': 5.952291131019592, 'latency_p90': 6.7917191743850704}, {'batch_size': 15, 'throughput': 2.0101749800703845, 'latency_mean': 7.325509262084961, 'latency_p50': 7.379525899887085, 'latency_p90': 8.136474180221558}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rica40325-feedback-dpo-9_v1
is_internal_developer: False
language_model: rica40325/feedback_dpo_9
model_size: 8B
ranking_group: single
throughput_3p7s: 1.98
us_pacific_date: 2024-09-10
win_ratio: 0.11114494518879416
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-9-v1-mkmlizer
Waiting for job on rica40325-feedback-dpo-9-v1-mkmlizer to finish
Connection pool is full, discarding connection: %s. Connection pool size: %s
rica40325-feedback-dpo-9-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-feedback-dpo-9-v1-mkmlizer: ║     _____            __           __                                ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║       /___/                                                         ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  belonging to:                                                      ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
rica40325-feedback-dpo-9-v1-mkmlizer: ║                                                                     ║
rica40325-feedback-dpo-9-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-feedback-dpo-9-v1-mkmlizer: Downloaded to shared memory in 66.404s
rica40325-feedback-dpo-9-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7xlo9nfp, device:0
rica40325-feedback-dpo-9-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-feedback-dpo-9-v1-mkmlizer: quantized model in 29.609s
rica40325-feedback-dpo-9-v1-mkmlizer: Processed model rica40325/feedback_dpo_9 in 96.012s
rica40325-feedback-dpo-9-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-feedback-dpo-9-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-feedback-dpo-9-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-feedback-dpo-9-v1
rica40325-feedback-dpo-9-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-9-v1/config.json
rica40325-feedback-dpo-9-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-feedback-dpo-9-v1/special_tokens_map.json
rica40325-feedback-dpo-9-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-9-v1/tokenizer_config.json
rica40325-feedback-dpo-9-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-feedback-dpo-9-v1/tokenizer.json
rica40325-feedback-dpo-9-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-feedback-dpo-9-v1/flywheel_model.0.safetensors
rica40325-feedback-dpo-9-v1-mkmlizer: 
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Job rica40325-feedback-dpo-9-v1-mkmlizer completed after 116.2s with status: succeeded
Stopping job with name rica40325-feedback-dpo-9-v1-mkmlizer
Pipeline stage MKMLizer completed in 117.84s
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Creating inference service rica40325-feedback-dpo-9-v1
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Inference service rica40325-feedback-dpo-9-v1 ready after 160.91482710838318s
Pipeline stage MKMLDeployer completed in 161.25s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.3647356033325195s
Received healthy response to inference request in 1.4848887920379639s
Received healthy response to inference request in 2.063917875289917s
Received healthy response to inference request in 1.3700029850006104s
Received healthy response to inference request in 1.9993107318878174s
5 requests
0 failed requests
5th percentile: 1.392980146408081
10th percentile: 1.4159573078155518
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90th percentile: 2.8444085121154785
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99th percentile: 3.3127028942108154
mean time: 2.056571197509766
Pipeline stage StressChecker completed in 11.23s
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rica40325-feedback-dpo-9_v1 status is now deployed due to DeploymentManager action
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Running pipeline stage MKMLProfilerDeployer
Creating inference service rica40325-feedback-dpo-9-v1-profiler
Waiting for inference service rica40325-feedback-dpo-9-v1-profiler to be ready
Inference service rica40325-feedback-dpo-9-v1-profiler ready after 150.34748578071594s
Pipeline stage MKMLProfilerDeployer completed in 150.72s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-feedback-dpo-9-v1-profiler-predictor-00001-deplom27kg:/code/chaiverse_profiler_1725973436 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-feedback-dpo-9-v1-profiler-predictor-00001-deplom27kg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725973436 && 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_1725973436/summary.json'
kubectl exec -it rica40325-feedback-dpo-9-v1-profiler-predictor-00001-deplom27kg --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725973436/summary.json'
Pipeline stage MKMLProfilerRunner completed in 846.60s
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Running pipeline stage MKMLProfilerDeleter
Checking if service rica40325-feedback-dpo-9-v1-profiler is running
Tearing down inference service rica40325-feedback-dpo-9-v1-profiler
Service rica40325-feedback-dpo-9-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.87s
Shutdown handler de-registered
rica40325-feedback-dpo-9_v1 status is now inactive due to auto deactivation removed underperforming models
rica40325-feedback-dpo-9_v1 status is now torndown due to DeploymentManager action