cycy233-nemo-p-v1-c4

submission_id: cycy233-nemo-p-v1-c4_v2

developer_uid: shiroe40

best_of: 8

celo_rating: 1233.59

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': 512, 'best_of': 8, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: cycy233/nemo-p-v1-c4

latencies: [{'batch_size': 1, 'throughput': 0.6914833785531758, 'latency_mean': 1.4460685229301453, 'latency_p50': 1.462149739265442, 'latency_p90': 1.6096806526184082}, {'batch_size': 3, 'throughput': 1.332268224925077, 'latency_mean': 2.2482607412338256, 'latency_p50': 2.247952699661255, 'latency_p90': 2.512110781669617}, {'batch_size': 5, 'throughput': 1.5672076371345682, 'latency_mean': 3.1754928719997406, 'latency_p50': 3.1976486444473267, 'latency_p90': 3.5832740545272825}, {'batch_size': 6, 'throughput': 1.6232714053541322, 'latency_mean': 3.6709121561050413, 'latency_p50': 3.6996212005615234, 'latency_p90': 4.047006130218506}, {'batch_size': 8, 'throughput': 1.6021005139936755, 'latency_mean': 4.958056707382202, 'latency_p50': 4.950000286102295, 'latency_p90': 5.655829048156738}, {'batch_size': 10, 'throughput': 1.5571167016739467, 'latency_mean': 6.389200851917267, 'latency_p50': 6.403965473175049, 'latency_p90': 7.247442007064819}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: cycy233/nemo-p-v1-c4

model_name: auto

model_num_parameters: 12772070400.0

model_repo: cycy233/nemo-p-v1-c4

model_size: 13B

num_battles: 10253

num_wins: 4857

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 1.63

timestamp: 2024-09-18T01:47:30+00:00

us_pacific_date: 2024-09-17

win_ratio: 0.4737150102409051

Resubmit model

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Starting job with name cycy233-nemo-p-v1-c4-v2-mkmlizer
Waiting for job on cycy233-nemo-p-v1-c4-v2-mkmlizer to finish
cycy233-nemo-p-v1-c4-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║       /___/                                                         ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v1-c4-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-nemo-p-v1-c4-v2-mkmlizer: Downloaded to shared memory in 32.629s
cycy233-nemo-p-v1-c4-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpcp_5zlme, device:0
cycy233-nemo-p-v1-c4-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-nemo-p-v1-c4-v2-mkmlizer: quantized model in 35.114s
cycy233-nemo-p-v1-c4-v2-mkmlizer: Processed model cycy233/nemo-p-v1-c4 in 67.743s
cycy233-nemo-p-v1-c4-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-v1-c4-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-v1-c4-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-v1-c4-v2
cycy233-nemo-p-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-v1-c4-v2/config.json
cycy233-nemo-p-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-v1-c4-v2/special_tokens_map.json
cycy233-nemo-p-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-v1-c4-v2/tokenizer_config.json
cycy233-nemo-p-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-v1-c4-v2/tokenizer.json
cycy233-nemo-p-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-v1-c4-v2/flywheel_model.0.safetensors
cycy233-nemo-p-v1-c4-v2-mkmlizer: 
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Job cycy233-nemo-p-v1-c4-v2-mkmlizer completed after 94.11s with status: succeeded
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-v1-c4-v2-profiler-predictor-00001-deploymenmcd6d:/code/chaiverse_profiler_1726624587 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-v1-c4-v2-profiler-predictor-00001-deploymenmcd6d --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726624587 && 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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1726624587/summary.json'
kubectl exec -it cycy233-nemo-p-v1-c4-v2-profiler-predictor-00001-deploymenmcd6d --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726624587/summary.json'
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