submission_id: cycy233-nemo-p-v3-c2_v1
developer_uid: shiroe40
best_of: 8
celo_rating: 1250.86
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-v3-c2
latencies: [{'batch_size': 1, 'throughput': 0.6158144489628068, 'latency_mean': 1.6238038372993469, 'latency_p50': 1.6191836595535278, 'latency_p90': 1.7898728847503662}, {'batch_size': 3, 'throughput': 1.0870860237502087, 'latency_mean': 2.74984423995018, 'latency_p50': 2.726187825202942, 'latency_p90': 3.03615939617157}, {'batch_size': 5, 'throughput': 1.2323097716667144, 'latency_mean': 4.0298246383667, 'latency_p50': 4.05130410194397, 'latency_p90': 4.525972628593445}, {'batch_size': 6, 'throughput': 1.2640152202439998, 'latency_mean': 4.718609297275544, 'latency_p50': 4.706885933876038, 'latency_p90': 5.384436082839966}, {'batch_size': 8, 'throughput': 1.2574249662278905, 'latency_mean': 6.330375262498856, 'latency_p50': 6.4085458517074585, 'latency_p90': 7.1511634349822994}, {'batch_size': 10, 'throughput': 1.2206201345614334, 'latency_mean': 8.152206118106841, 'latency_p50': 8.203119277954102, 'latency_p90': 9.091365504264832}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cycy233/nemo-p-v3-c2
model_name: auto
model_num_parameters: 12772070400.0
model_repo: cycy233/nemo-p-v3-c2
model_size: 13B
num_battles: 10978
num_wins: 5616
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.21
timestamp: 2024-09-19T07:56:47+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.5115685917289123
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Running pipeline stage MKMLizer
Starting job with name cycy233-nemo-p-v3-c2-v1-mkmlizer
Waiting for job on cycy233-nemo-p-v3-c2-v1-mkmlizer to finish
cycy233-nemo-p-v3-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║       /___/                                                         ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v3-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-nemo-p-v3-c2-v1-mkmlizer: Downloaded to shared memory in 47.199s
cycy233-nemo-p-v3-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpiu4oemwa, device:0
cycy233-nemo-p-v3-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-nemo-p-v3-c2-v1-mkmlizer: quantized model in 35.299s
cycy233-nemo-p-v3-c2-v1-mkmlizer: Processed model cycy233/nemo-p-v3-c2 in 82.498s
cycy233-nemo-p-v3-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-v3-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-v3-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-v3-c2-v1
cycy233-nemo-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-v3-c2-v1/config.json
cycy233-nemo-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-v3-c2-v1/special_tokens_map.json
cycy233-nemo-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-v3-c2-v1/tokenizer_config.json
cycy233-nemo-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-v3-c2-v1/tokenizer.json
cycy233-nemo-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-v3-c2-v1/flywheel_model.0.safetensors
cycy233-nemo-p-v3-c2-v1-mkmlizer: 
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Job cycy233-nemo-p-v3-c2-v1-mkmlizer completed after 106.87s with status: succeeded
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Inference service cycy233-nemo-p-v3-c2-v1 ready after 192.60965061187744s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-v3-c2-v1-profiler-predictor-00001-deploymentq42w:/code/chaiverse_profiler_1726733165 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-v3-c2-v1-profiler-predictor-00001-deploymentq42w --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726733165 && 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_1726733165/summary.json'
kubectl exec -it cycy233-nemo-p-v3-c2-v1-profiler-predictor-00001-deploymentq42w --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726733165/summary.json'
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