jic062-nemo-v1-1

submission_id: jic062-nemo-v1-1_v1

developer_uid: chace9580

best_of: 8

celo_rating: 1263.31

display_name: jic062-nemo-v1-1_v1

family_friendly_score: 0.0

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}

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}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: jic062/Nemo-v1.1

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}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: jic062/Nemo-v1.1

model_name: jic062-nemo-v1-1_v1

model_num_parameters: 12772070400.0

model_repo: jic062/Nemo-v1.1

model_size: 13B

num_battles: 12889

num_wins: 6851

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 1.64

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

us_pacific_date: 2024-09-02

win_ratio: 0.5315385212196446

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
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Creating inference service jic062-nemo-v1-1-v1
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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
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mean time: 2.1821774005889893
Pipeline stage StressChecker completed in 11.95s
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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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Inference service jic062-nemo-v1-1-v1-profiler ready after 150.3476402759552s
Pipeline stage MKMLProfilerDeployer completed in 150.75s
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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-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
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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