jic062-nemo-v1-1

developer_uid: chace9580

submission_id: jic062-nemo-v1-1_v1

model_name: jic062-nemo-v1-1_v1

model_group: jic062/Nemo-v1.1

status: torndown

timestamp: 2024-09-02T21:38:15+00:00

num_battles: 12889

num_wins: 6851

celo_rating: 1263.31

family_friendly_score: 0.0

submission_type: basic

model_repo: jic062/Nemo-v1.1

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 512

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.7059671289946611, 'latency_mean': 1.4164082872867585, 'latency_p50': 1.4182798862457275, 'latency_p90': 1.5767731666564941}, {'batch_size': 3, 'throughput': 1.3398784173703329, 'latency_mean': 2.2303199422359468, 'latency_p50': 2.226584553718567, 'latency_p90': 2.4911309480667114}, {'batch_size': 5, 'throughput': 1.5715819819981849, 'latency_mean': 3.1717437398433685, 'latency_p50': 3.2193158864974976, 'latency_p90': 3.5628271102905273}, {'batch_size': 6, 'throughput': 1.6234078475521665, 'latency_mean': 3.668849414587021, 'latency_p50': 3.6624194383621216, 'latency_p90': 4.146455907821656}, {'batch_size': 8, 'throughput': 1.6235813478927135, 'latency_mean': 4.903011841773987, 'latency_p50': 4.881819844245911, 'latency_p90': 5.539766812324524}, {'batch_size': 10, 'throughput': 1.5523468988181603, 'latency_mean': 6.397405602931976, 'latency_p50': 6.4297614097595215, 'latency_p90': 7.178028273582458}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: jic062-nemo-v1-1_v1

is_internal_developer: False

language_model: jic062/Nemo-v1.1

model_size: 13B

ranking_group: single

throughput_3p7s: 1.64

us_pacific_date: 2024-09-02

win_ratio: 0.5315385212196446

generation_params: {'temperature': 0.75, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '\n\n', '\nYou:', '[/INST]', '<|im_end|>', '</s>'], 'max_input_tokens': 512, '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

run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name jic062-nemo-v1-1-v1-mkmlizer
Waiting for job on jic062-nemo-v1-1-v1-mkmlizer to finish
jic062-nemo-v1-1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-nemo-v1-1-v1-mkmlizer: ║     _____            __           __                                ║
jic062-nemo-v1-1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jic062-nemo-v1-1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jic062-nemo-v1-1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jic062-nemo-v1-1-v1-mkmlizer: ║       /___/                                                         ║
jic062-nemo-v1-1-v1-mkmlizer: ║                                                                     ║
jic062-nemo-v1-1-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
jic062-nemo-v1-1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jic062-nemo-v1-1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
jic062-nemo-v1-1-v1-mkmlizer: ║                                                                     ║
jic062-nemo-v1-1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
jic062-nemo-v1-1-v1-mkmlizer: ║  belonging to:                                                      ║
jic062-nemo-v1-1-v1-mkmlizer: ║                                                                     ║
jic062-nemo-v1-1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
jic062-nemo-v1-1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jic062-nemo-v1-1-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jic062-nemo-v1-1-v1-mkmlizer: ║                                                                     ║
jic062-nemo-v1-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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jic062-nemo-v1-1-v1-mkmlizer: Downloaded to shared memory in 67.500s
jic062-nemo-v1-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpiq6gjf72, device:0
jic062-nemo-v1-1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-nemo-v1-1-v1-mkmlizer: quantized model in 36.603s
jic062-nemo-v1-1-v1-mkmlizer: Processed model jic062/Nemo-v1.1 in 104.103s
jic062-nemo-v1-1-v1-mkmlizer: creating bucket guanaco-mkml-models
jic062-nemo-v1-1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-nemo-v1-1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-nemo-v1-1-v1
jic062-nemo-v1-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-nemo-v1-1-v1/config.json
jic062-nemo-v1-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-nemo-v1-1-v1/special_tokens_map.json
jic062-nemo-v1-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-nemo-v1-1-v1/tokenizer_config.json
jic062-nemo-v1-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-nemo-v1-1-v1/tokenizer.json
jic062-nemo-v1-1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-nemo-v1-1-v1/flywheel_model.0.safetensors
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Job jic062-nemo-v1-1-v1-mkmlizer completed after 126.49s with status: succeeded
Stopping job with name jic062-nemo-v1-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 127.82s
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Running pipeline stage MKMLDeployer
Creating inference service jic062-nemo-v1-1-v1
Waiting for inference service jic062-nemo-v1-1-v1 to be ready
Inference service jic062-nemo-v1-1-v1 ready after 150.48812890052795s
Pipeline stage MKMLDeployer completed in 150.92s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2781286239624023s
Received healthy response to inference request in 2.0036659240722656s
Received healthy response to inference request in 1.655580997467041s
Received healthy response to inference request in 2.0838286876678467s
Received healthy response to inference request in 2.8896827697753906s
5 requests
0 failed requests
5th percentile: 1.725197982788086
10th percentile: 1.7948149681091308
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90th percentile: 2.6450611114501954
95th percentile: 2.767371940612793
99th percentile: 2.865220603942871
mean time: 2.1821774005889893
Pipeline stage StressChecker completed in 11.95s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.57s
jic062-nemo-v1-1_v1 status is now deployed due to DeploymentManager action
jic062-nemo-v1-1_v1 status is now inactive due to auto deactivation removed underperforming models
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Running pipeline stage MKMLProfilerDeleter
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Inference service jic062-nemo-v1-1-v1-profiler ready after 150.3476402759552s
Pipeline stage MKMLProfilerDeployer completed in 150.75s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-nemo-v1-1-v1-profiler-predictor-00001-deployment-67ntx6l:/code/chaiverse_profiler_1725340094 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-nemo-v1-1-v1-profiler-predictor-00001-deployment-67ntx6l --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725340094 && chmod +x profiles.py && python profiles.py profile --best_of_n 8 --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_1725340094/summary.json'
kubectl exec -it jic062-nemo-v1-1-v1-profiler-predictor-00001-deployment-67ntx6l --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725340094/summary.json'
Pipeline stage MKMLProfilerRunner completed in 548.44s
cleanup pipeline after completion
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Service jic062-nemo-v1-1-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.47s
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Running pipeline stage MKMLProfilerDeleter
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Pipeline stage MKMLProfilerTemplater completed in 0.15s
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Creating inference service jic062-nemo-v1-1-v1-profiler
Waiting for inference service jic062-nemo-v1-1-v1-profiler to be ready
Inference service jic062-nemo-v1-1-v1-profiler ready after 150.36198902130127s
Pipeline stage MKMLProfilerDeployer completed in 150.83s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-nemo-v1-1-v1-profiler-predictor-00001-deployment-67b9xl8:/code/chaiverse_profiler_1725396995 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-nemo-v1-1-v1-profiler-predictor-00001-deployment-67b9xl8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725396995 && chmod +x profiles.py && 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_1725396995/summary.json'
kubectl exec -it jic062-nemo-v1-1-v1-profiler-predictor-00001-deployment-67b9xl8 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725396995/summary.json'
Pipeline stage MKMLProfilerRunner completed in 941.29s
cleanup pipeline after completion
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Running pipeline stage MKMLProfilerDeleter
Checking if service jic062-nemo-v1-1-v1-profiler is running
Tearing down inference service jic062-nemo-v1-1-v1-profiler
Service jic062-nemo-v1-1-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.58s
jic062-nemo-v1-1_v1 status is now torndown due to DeploymentManager action