submission_id: cycy233-nemo-p-e-v0-c1_v1
developer_uid: shiroe40
best_of: 8
celo_rating: 1287.17
display_name: auto
family_friendly_score: 0.5418392269300202
family_friendly_standard_error: 0.006261170549586198
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-v0-c1
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}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cycy233/nemo-p-e-v0-c1
model_name: auto
model_num_parameters: 12772070400.0
model_repo: cycy233/nemo-p-e-v0-c1
model_size: 13B
num_battles: 19524
num_wins: 10643
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.23
timestamp: 2024-09-20T03:30:05+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.5451239500102438
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
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Inference service cycy233-nemo-p-e-v0-c1-v1 ready after 211.53827214241028s
Pipeline stage MKMLDeployer completed in 212.13s
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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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5th percentile: 2.108425760269165
10th percentile: 2.124061393737793
20th percentile: 2.155332660675049
30th percentile: 2.174549913406372
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60th percentile: 2.3466515064239504
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90th percentile: 2.9120185375213623
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mean time: 2.433420753479004
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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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