cycy233-nemo-p-e-v1-c1

submission_id: cycy233-nemo-p-e-v1-c1_v1
developer_uid: shiroe40
best_of: 8
celo_rating: 1254.18
display_name: auto
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': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/nemo-p-e-v1-c1
latencies: [{'batch_size': 1, 'throughput': 0.6202313301689968, 'latency_mean': 1.6122419142723083, 'latency_p50': 1.6147648096084595, 'latency_p90': 1.777051568031311}, {'batch_size': 3, 'throughput': 1.0967526362882314, 'latency_mean': 2.7270932257175446, 'latency_p50': 2.7321887016296387, 'latency_p90': 2.9737618684768674}, {'batch_size': 5, 'throughput': 1.2436043427708605, 'latency_mean': 4.003451515436172, 'latency_p50': 4.009152173995972, 'latency_p90': 4.477498078346252}, {'batch_size': 6, 'throughput': 1.2706402270831227, 'latency_mean': 4.707188724279404, 'latency_p50': 4.731135010719299, 'latency_p90': 5.291596484184265}, {'batch_size': 8, 'throughput': 1.2673398978796293, 'latency_mean': 6.278391717672348, 'latency_p50': 6.259405970573425, 'latency_p90': 7.269957685470581}, {'batch_size': 10, 'throughput': 1.2217204040717176, 'latency_mean': 8.118992645740509, 'latency_p50': 8.140972256660461, 'latency_p90': 9.118136787414551}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cycy233/nemo-p-e-v1-c1
model_name: auto
model_num_parameters: 12772070400.0
model_repo: cycy233/nemo-p-e-v1-c1
model_size: 13B
num_battles: 64752
num_wins: 33140
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.22
timestamp: 2024-09-23T06:37:46+00:00
us_pacific_date: 2024-09-22
win_ratio: 0.511798863355572
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Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name cycy233-nemo-p-e-v1-c1-v1-mkmlizer
Waiting for job on cycy233-nemo-p-e-v1-c1-v1-mkmlizer to finish
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║       /___/                                                         ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-nemo-p-e-v1-c1-v1-mkmlizer: Downloaded to shared memory in 48.402s
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpa6yatefd, device:0
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cycy233-nemo-p-e-v1-c1-v1-mkmlizer: quantized model in 40.586s
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: Processed model cycy233/nemo-p-e-v1-c1 in 88.988s
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c1-v1
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c1-v1/config.json
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c1-v1/special_tokens_map.json
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c1-v1/tokenizer_config.json
cycy233-nemo-p-e-v1-c1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c1-v1/flywheel_model.0.safetensors
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Job cycy233-nemo-p-e-v1-c1-v1-mkmlizer completed after 145.18s with status: succeeded
Stopping job with name cycy233-nemo-p-e-v1-c1-v1-mkmlizer
Pipeline stage MKMLizer completed in 146.51s
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Creating inference service cycy233-nemo-p-e-v1-c1-v1
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Inference service cycy233-nemo-p-e-v1-c1-v1 ready after 191.5274224281311s
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Received healthy response to inference request in 2.2291016578674316s
Received healthy response to inference request in 1.8741810321807861s
Received healthy response to inference request in 1.8700716495513916s
Received healthy response to inference request in 3.9457385540008545s
Received healthy response to inference request in 2.883354425430298s
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mean time: 2.560489463806152
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-e-v1-c1-v1-profiler-predictor-00001-deploym4xbrm:/code/chaiverse_profiler_1727074071 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-e-v1-c1-v1-profiler-predictor-00001-deploym4xbrm --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727074071 && 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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1727074071/summary.json'
kubectl exec -it cycy233-nemo-p-e-v1-c1-v1-profiler-predictor-00001-deploym4xbrm --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727074071/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1149.56s
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rica40325-mistral-test1-v6-mkmlizer: quantized model in 40.610s
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rica40325-mistral-test1-v6-mkmlizer: Processed model rica40325/mistral-test1 in 99.533s
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rica40325-mistral-test1-v6-mkmlizer: creating bucket guanaco-mkml-models
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rica40325-mistral-test1-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
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Pipeline stage MKMLDeleter completed in 7.34s
rica40325-mistral-test1-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-mistral-test1-v6
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rica40325-mistral-test1-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-mistral-test1-v6/config.json
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rica40325-mistral-test1-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-mistral-test1-v6/special_tokens_map.json
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rica40325-mistral-test1-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-mistral-test1-v6/tokenizer_config.json
Cleaning model data from model cache
rica40325-mistral-test1-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-mistral-test1-v6/tokenizer.json
Deleting key cycy233-nemo-p-e-v2-c4-v1/config.json from bucket guanaco-mkml-models
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rica40325-mistral-test1-v7-mkmlizer: Downloaded to shared memory in 65.551s
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rica40325-mistral-test1-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpl4xou52_, device:0
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rica40325-mistral-test1-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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Inference service rica40325-mistral-test1-v5 ready after 140.6842110157013s
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Pipeline stage MKMLModelDeleter completed in 11.53s
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Pipeline stage MKMLDeployer completed in 143.00s
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Job rica40325-mistral-test1-v6-mkmlizer completed after 134.97s with status: succeeded
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