jic062-nemo-v1-7

developer_uid: chace9580

submission_id: jic062-nemo-v1-7_v1

model_name: jic062-nemo-v1-7_v1

model_group: jic062/Nemo-v1.7

status: torndown

timestamp: 2024-09-21T04:09:35+00:00

num_battles: 425278

num_wins: 220730

celo_rating: 1261.37

family_friendly_score: 0.0

submission_type: basic

model_repo: jic062/Nemo-v1.7

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6136987173660754, 'latency_mean': 1.6294046068191528, 'latency_p50': 1.6369775533676147, 'latency_p90': 1.8031785249710084}, {'batch_size': 3, 'throughput': 1.0772673750482473, 'latency_mean': 2.7709474647045136, 'latency_p50': 2.781137704849243, 'latency_p90': 3.0581368446350097}, {'batch_size': 5, 'throughput': 1.2222942137146013, 'latency_mean': 4.072827442884445, 'latency_p50': 4.06187105178833, 'latency_p90': 4.621717405319214}, {'batch_size': 6, 'throughput': 1.2392483350720553, 'latency_mean': 4.814882472753525, 'latency_p50': 4.826918125152588, 'latency_p90': 5.372453093528748}, {'batch_size': 8, 'throughput': 1.2352201556732256, 'latency_mean': 6.436115370988846, 'latency_p50': 6.437524914741516, 'latency_p90': 7.270096373558045}, {'batch_size': 10, 'throughput': 1.1995844104506208, 'latency_mean': 8.283906960487366, 'latency_p50': 8.322269558906555, 'latency_p90': 9.479323720932006}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: jic062-nemo-v1-7_v1

is_internal_developer: False

language_model: jic062/Nemo-v1.7

model_size: 13B

ranking_group: single

throughput_3p7s: 1.2

us_pacific_date: 2024-09-20

win_ratio: 0.5190252023382352

generation_params: {'temperature': 0.85, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '/s', '[/INST]'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '[INST]system\n{memory}[/INST]\n', 'prompt_template': '[INST]user\n{prompt}[/INST]\n', 'bot_template': '[INST]assistant\n{bot_name}: {message}[/INST]\n', 'user_template': '[INST]user\n{user_name}: {message}[/INST]\n', 'response_template': '[INST]assistant\n{bot_name}:', 'truncate_by_message': False}

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name jic062-nemo-v1-7-v1-mkmlizer
Waiting for job on jic062-nemo-v1-7-v1-mkmlizer to finish
jic062-nemo-v1-7-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-nemo-v1-7-v1-mkmlizer: ║     _____            __           __                                ║
jic062-nemo-v1-7-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jic062-nemo-v1-7-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jic062-nemo-v1-7-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jic062-nemo-v1-7-v1-mkmlizer: ║       /___/                                                         ║
jic062-nemo-v1-7-v1-mkmlizer: ║                                                                     ║
jic062-nemo-v1-7-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
jic062-nemo-v1-7-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jic062-nemo-v1-7-v1-mkmlizer: ║  https://mk1.ai                                                     ║
jic062-nemo-v1-7-v1-mkmlizer: ║                                                                     ║
jic062-nemo-v1-7-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
jic062-nemo-v1-7-v1-mkmlizer: ║  belonging to:                                                      ║
jic062-nemo-v1-7-v1-mkmlizer: ║                                                                     ║
jic062-nemo-v1-7-v1-mkmlizer: ║  Chai Research Corp.                                                ║
jic062-nemo-v1-7-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jic062-nemo-v1-7-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jic062-nemo-v1-7-v1-mkmlizer: ║                                                                     ║
jic062-nemo-v1-7-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jic062-nemo-v1-7-v1-mkmlizer: Downloaded to shared memory in 49.710s
jic062-nemo-v1-7-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpp5rdt2w1, device:0
jic062-nemo-v1-7-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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jic062-nemo-v1-7-v1-mkmlizer: quantized model in 35.064s
jic062-nemo-v1-7-v1-mkmlizer: Processed model jic062/Nemo-v1.7 in 84.774s
jic062-nemo-v1-7-v1-mkmlizer: creating bucket guanaco-mkml-models
jic062-nemo-v1-7-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-nemo-v1-7-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-nemo-v1-7-v1
jic062-nemo-v1-7-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-nemo-v1-7-v1/flywheel_model.0.safetensors
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Job jic062-nemo-v1-7-v1-mkmlizer completed after 127.4s with status: succeeded
Stopping job with name jic062-nemo-v1-7-v1-mkmlizer
Pipeline stage MKMLizer completed in 138.85s
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Pipeline stage MKMLTemplater completed in 1.74s
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Creating inference service jic062-nemo-v1-7-v1
Waiting for inference service jic062-nemo-v1-7-v1 to be ready
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Inference service jic062-nemo-v1-7-v1 ready after 200.82969975471497s
Pipeline stage MKMLDeployer completed in 201.23s
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HTTPSConnectionPool(host='guanaco-submitter.chai-research.com', port=443): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.6738884449005127s
Received healthy response to inference request in 3.122897148132324s
Received healthy response to inference request in 2.589320659637451s
Received healthy response to inference request in 4.729764461517334s
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20th percentile: 2.6569748878479005
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30th percentile: 2.763690185546875
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40th percentile: 2.9432936668395997
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50th percentile: 3.122897148132324
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99th percentile: 19.494698696136474
mean time: 6.645155000686645
%s, retrying in %s seconds...
Received healthy response to inference request in 3.768622636795044s
Received healthy response to inference request in 2.09641695022583s
Received healthy response to inference request in 2.310994863510132s
Received healthy response to inference request in 1.7236812114715576s
Received healthy response to inference request in 1.9878439903259277s
5 requests
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5th percentile: 1.7765137672424316
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mean time: 2.3775119304656984
Pipeline stage StressChecker completed in 143.11s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.24s
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Creating inference service jic062-nemo-v1-7-v1-profiler
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Inference service jic062-nemo-v1-7-v1-profiler ready after 190.43565201759338s
Pipeline stage MKMLProfilerDeployer completed in 199.66s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-nemo-v1-7-v1-profiler-predictor-00001-deployment-56kb575:/code/chaiverse_profiler_1726892551 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-nemo-v1-7-v1-profiler-predictor-00001-deployment-56kb575 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726892551 && 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_1726892551/summary.json'
kubectl exec -it jic062-nemo-v1-7-v1-profiler-predictor-00001-deployment-56kb575 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726892551/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1188.25s
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Running pipeline stage MKMLProfilerDeleter
Checking if service jic062-nemo-v1-7-v1-profiler is running
Tearing down inference service jic062-nemo-v1-7-v1-profiler
Service jic062-nemo-v1-7-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 3.91s
Shutdown handler de-registered
jic062-nemo-v1-7_v1 status is now inactive due to auto deactivation removed underperforming models
jic062-nemo-v1-7_v1 status is now torndown due to DeploymentManager action