cycy233-nemo-p-e-v0-c1

developer_uid: shiroe40
submission_id: cycy233-nemo-p-e-v0-c1_v1
model_name: auto
model_group: cycy233/nemo-p-e-v0-c1
status: torndown
timestamp: 2024-09-20T03:30:05+00:00
num_battles: 19524
num_wins: 10643
celo_rating: 1287.17
family_friendly_score: 0.5418392269300202
family_friendly_standard_error: 0.006261170549586198
submission_type: basic
model_repo: cycy233/nemo-p-e-v0-c1
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6189176149083413, 'latency_mean': 1.6156386697292329, 'latency_p50': 1.617355227470398, 'latency_p90': 1.7867075204849243}, {'batch_size': 3, 'throughput': 1.0997848373430776, 'latency_mean': 2.7229507875442507, 'latency_p50': 2.713502526283264, 'latency_p90': 3.010135221481323}, {'batch_size': 5, 'throughput': 1.2538324014592044, 'latency_mean': 3.9727035677433014, 'latency_p50': 3.951444625854492, 'latency_p90': 4.478527021408081}, {'batch_size': 6, 'throughput': 1.2655400520618536, 'latency_mean': 4.7184916174411775, 'latency_p50': 4.762701869010925, 'latency_p90': 5.295169329643249}, {'batch_size': 8, 'throughput': 1.2547996515828896, 'latency_mean': 6.332107223272324, 'latency_p50': 6.345623731613159, 'latency_p90': 7.236224746704101}, {'batch_size': 10, 'throughput': 1.2232830585124823, 'latency_mean': 8.115606588125228, 'latency_p50': 8.127150177955627, 'latency_p90': 9.199234819412231}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: auto
is_internal_developer: False
language_model: cycy233/nemo-p-e-v0-c1
model_size: 13B
ranking_group: single
throughput_3p7s: 1.23
us_pacific_date: 2024-09-19
win_ratio: 0.5451239500102438
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-c1-v1-mkmlizer
Waiting for job on cycy233-nemo-p-e-v0-c1-v1-mkmlizer to finish
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║       /___/                                                         ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-nemo-p-e-v0-c1-v1-mkmlizer: Downloaded to shared memory in 57.558s
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpeav26jv5, device:0
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cycy233-nemo-p-e-v0-c1-v1-mkmlizer: quantized model in 35.689s
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: Processed model cycy233/nemo-p-e-v0-c1 in 93.247s
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c1-v1
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c1-v1/config.json
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c1-v1/special_tokens_map.json
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c1-v1/tokenizer_config.json
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c1-v1/tokenizer.json
cycy233-nemo-p-e-v0-c1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c1-v1/flywheel_model.0.safetensors
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Job cycy233-nemo-p-e-v0-c1-v1-mkmlizer completed after 116.21s with status: succeeded
Stopping job with name cycy233-nemo-p-e-v0-c1-v1-mkmlizer
Pipeline stage MKMLizer completed in 119.97s
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Creating inference service cycy233-nemo-p-e-v0-c1-v1
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Inference service cycy233-nemo-p-e-v0-c1-v1 ready after 211.53827214241028s
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Received healthy response to inference request in 2.5833141803741455s
Received healthy response to inference request in 2.092790126800537s
Received healthy response to inference request in 2.1888763904571533s
Received healthy response to inference request in 2.1709682941436768s
Received healthy response to inference request in 3.131154775619507s
5 requests
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-e-v0-c1-v1-profiler-predictor-00001-deploymvzbws:/code/chaiverse_profiler_1726803605 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-e-v0-c1-v1-profiler-predictor-00001-deploymvzbws --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726803605 && 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_1726803605/summary.json'
kubectl exec -it cycy233-nemo-p-e-v0-c1-v1-profiler-predictor-00001-deploymvzbws --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726803605/summary.json'
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