submission_id: rica40325-feedback-dpo-3_v1
developer_uid: rica40325
best_of: 16
celo_rating: 1165.11
display_name: rica40325-feedback-dpo-3_v1
family_friendly_score: 0.0
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_dpo_3
latencies: [{'batch_size': 1, 'throughput': 0.902065042627818, 'latency_mean': 1.1084728825092316, 'latency_p50': 1.1136852502822876, 'latency_p90': 1.2351430416107176}, {'batch_size': 4, 'throughput': 1.8139013072129833, 'latency_mean': 2.1916801702976225, 'latency_p50': 2.1794809103012085, 'latency_p90': 2.4637901544570924}, {'batch_size': 5, 'throughput': 1.8901422589025647, 'latency_mean': 2.6295800960063933, 'latency_p50': 2.622322916984558, 'latency_p90': 2.926296925544739}, {'batch_size': 8, 'throughput': 2.038399407524855, 'latency_mean': 3.8968724513053896, 'latency_p50': 3.8806627988815308, 'latency_p90': 4.349859404563904}, {'batch_size': 10, 'throughput': 2.0323493963023638, 'latency_mean': 4.876366269588471, 'latency_p50': 4.860754132270813, 'latency_p90': 5.85842649936676}, {'batch_size': 12, 'throughput': 2.054446855234875, 'latency_mean': 5.763219541311264, 'latency_p50': 5.889389991760254, 'latency_p90': 6.60491042137146}, {'batch_size': 15, 'throughput': 2.066638307552604, 'latency_mean': 7.11609249830246, 'latency_p50': 7.228039741516113, 'latency_p90': 7.948485589027404}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/feedback_dpo_3
model_name: rica40325-feedback-dpo-3_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/feedback_dpo_3
model_size: 8B
num_battles: 11391
num_wins: 4777
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.04
timestamp: 2024-09-10T05:58:30+00:00
us_pacific_date: 2024-09-09
win_ratio: 0.41936616627161794
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-3-v1-mkmlizer
Waiting for job on rica40325-feedback-dpo-3-v1-mkmlizer to finish
rica40325-feedback-dpo-3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-feedback-dpo-3-v1-mkmlizer: ║ _____ __ __ ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ /___/ ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ Version: 0.10.1 ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ https://mk1.ai ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ belonging to: ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ Chai Research Corp. ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
rica40325-feedback-dpo-3-v1-mkmlizer: ║ ║
rica40325-feedback-dpo-3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-feedback-dpo-3-v1-mkmlizer: Downloaded to shared memory in 63.062s
rica40325-feedback-dpo-3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1j8g1pqt, device:0
rica40325-feedback-dpo-3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-feedback-dpo-3-v1-mkmlizer: quantized model in 29.176s
rica40325-feedback-dpo-3-v1-mkmlizer: Processed model rica40325/feedback_dpo_3 in 92.238s
rica40325-feedback-dpo-3-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-feedback-dpo-3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-feedback-dpo-3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-feedback-dpo-3-v1
rica40325-feedback-dpo-3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-3-v1/config.json
rica40325-feedback-dpo-3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-feedback-dpo-3-v1/special_tokens_map.json
rica40325-feedback-dpo-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-feedback-dpo-3-v1/tokenizer_config.json
rica40325-feedback-dpo-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-feedback-dpo-3-v1/tokenizer.json
rica40325-feedback-dpo-3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-feedback-dpo-3-v1/flywheel_model.0.safetensors
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Job rica40325-feedback-dpo-3-v1-mkmlizer completed after 115.67s with status: succeeded
Stopping job with name rica40325-feedback-dpo-3-v1-mkmlizer
Pipeline stage MKMLizer completed in 116.57s
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Inference service rica40325-feedback-dpo-3-v1 ready after 161.14144134521484s
Pipeline stage MKMLDeployer completed in 161.92s
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Received healthy response to inference request in 2.433790922164917s
Received healthy response to inference request in 1.5320236682891846s
Received healthy response to inference request in 2.697145938873291s
Received healthy response to inference request in 3.0879430770874023s
Received healthy response to inference request in 1.7186615467071533s
5 requests
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mean time: 2.2939130306243896
Pipeline stage StressChecker completed in 12.85s
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Inference service rica40325-feedback-dpo-3-v1-profiler ready after 160.37533402442932s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-feedback-dpo-3-v1-profiler-predictor-00001-deplopflz4:/code/chaiverse_profiler_1725948410 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-feedback-dpo-3-v1-profiler-predictor-00001-deplopflz4 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725948410 && 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_1725948410/summary.json'
kubectl exec -it rica40325-feedback-dpo-3-v1-profiler-predictor-00001-deplopflz4 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725948410/summary.json'
Pipeline stage MKMLProfilerRunner completed in 834.10s
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Checking if service rica40325-feedback-dpo-3-v1-profiler is running
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Pipeline stage MKMLProfilerDeleter completed in 1.97s
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rica40325-feedback-dpo-3_v1 status is now inactive due to auto deactivation removed underperforming models
rica40325-feedback-dpo-3_v1 status is now torndown due to DeploymentManager action