cycy233-nemo-p-e-v0-c3

developer_uid: shiroe40
submission_id: cycy233-nemo-p-e-v0-c3_v1
model_name: auto
model_group: cycy233/nemo-p-e-v0-c3
status: torndown
timestamp: 2024-09-20T03:30:33+00:00
num_battles: 19635
num_wins: 10774
celo_rating: 1289.52
family_friendly_score: 0.5408956616389364
family_friendly_standard_error: 0.006188894000182417
submission_type: basic
model_repo: cycy233/nemo-p-e-v0-c3
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6181470178239759, 'latency_mean': 1.617668092250824, 'latency_p50': 1.603533387184143, 'latency_p90': 1.7799954414367676}, {'batch_size': 3, 'throughput': 1.0824757049240472, 'latency_mean': 2.762227976322174, 'latency_p50': 2.7744126319885254, 'latency_p90': 3.011634635925293}, {'batch_size': 5, 'throughput': 1.2250345005565202, 'latency_mean': 4.067507953643799, 'latency_p50': 4.0756471157073975, 'latency_p90': 4.56851863861084}, {'batch_size': 6, 'throughput': 1.2621393568794195, 'latency_mean': 4.725276688337326, 'latency_p50': 4.729943156242371, 'latency_p90': 5.360796928405762}, {'batch_size': 8, 'throughput': 1.2359989740301829, 'latency_mean': 6.435209155082703, 'latency_p50': 6.504315495491028, 'latency_p90': 7.240779614448547}, {'batch_size': 10, 'throughput': 1.1996917833627745, 'latency_mean': 8.290515092611313, 'latency_p50': 8.377609252929688, 'latency_p90': 9.359660506248474}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: auto
is_internal_developer: False
language_model: cycy233/nemo-p-e-v0-c3
model_size: 13B
ranking_group: single
throughput_3p7s: 1.2
us_pacific_date: 2024-09-19
win_ratio: 0.5487140310669723
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}
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
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Running pipeline stage MKMLizer
Starting job with name cycy233-nemo-p-e-v0-c3-v1-mkmlizer
Waiting for job on cycy233-nemo-p-e-v0-c3-v1-mkmlizer to finish
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║       /___/                                                         ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-nemo-p-e-v0-c3-v1-mkmlizer: Downloaded to shared memory in 59.632s
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpe20dmlm3, device:0
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: quantized model in 35.603s
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: Processed model cycy233/nemo-p-e-v0-c3 in 95.236s
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c3-v1
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c3-v1/config.json
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c3-v1/special_tokens_map.json
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c3-v1/tokenizer_config.json
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c3-v1/tokenizer.json
cycy233-nemo-p-e-v0-c3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c3-v1/flywheel_model.0.safetensors
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Job cycy233-nemo-p-e-v0-c3-v1-mkmlizer completed after 118.77s with status: succeeded
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Inference service cycy233-nemo-p-e-v0-c3-v1 ready after 203.41629576683044s
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Received healthy response to inference request in 3.561180830001831s
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Received healthy response to inference request in 2.354509115219116s
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5th percentile: 2.0272778987884523
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-e-v0-c3-v1-profiler-predictor-00001-deploymk6nch:/code/chaiverse_profiler_1726803641 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-e-v0-c3-v1-profiler-predictor-00001-deploymk6nch --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726803641 && 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_1726803641/summary.json'
kubectl exec -it cycy233-nemo-p-e-v0-c3-v1-profiler-predictor-00001-deploymk6nch --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726803641/summary.json'
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Shutdown handler not registered because Python interpreter is not running in the main thread
Running pipeline stage MKMLModelDeleter
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Shutdown handler not registered because Python interpreter is not running in the main thread
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Shutdown handler not registered because Python interpreter is not running in the main thread
Running pipeline stage MKMLModelDeleter
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