jic062-nemo-v1-1

submission_id: jic062-nemo-v1-1_v4

developer_uid: chace9580

alignment_samples: 11258

alignment_score: 0.6032196646585618

best_of: 8

celo_rating: 1256.25

display_name: jic062-nemo-v1-1_v4

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': 0.6836605771762447, 'latency_mean': 1.4626488256454468, 'latency_p50': 1.467058539390564, 'latency_p90': 1.6261132478713989}, {'batch_size': 3, 'throughput': 1.302767115652347, 'latency_mean': 2.296822350025177, 'latency_p50': 2.2899324893951416, 'latency_p90': 2.5320935964584352}, {'batch_size': 5, 'throughput': 1.5257869378317135, 'latency_mean': 3.2521691167354585, 'latency_p50': 3.2488224506378174, 'latency_p90': 3.6713428497314453}, {'batch_size': 6, 'throughput': 1.571248232412982, 'latency_mean': 3.790854618549347, 'latency_p50': 3.771217107772827, 'latency_p90': 4.312496280670166}, {'batch_size': 8, 'throughput': 1.5594906445095442, 'latency_mean': 5.091736034154892, 'latency_p50': 5.124643683433533, 'latency_p90': 5.791191959381104}, {'batch_size': 10, 'throughput': 1.5258208906653281, 'latency_mean': 6.506507868766785, 'latency_p50': 6.522159934043884, 'latency_p90': 7.426641416549683}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: jic062/Nemo-v1.1

model_name: jic062-nemo-v1-1_v4

model_num_parameters: 12772070400.0

model_repo: jic062/Nemo-v1.1

model_size: 13B

num_battles: 11258

num_wins: 5794

propriety_score: 0.7394957983193278

propriety_total_count: 952.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.58

timestamp: 2024-09-13T17:44:06+00:00

us_pacific_date: 2024-09-13

win_ratio: 0.5146562444483923

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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-v1-1-v4-mkmlizer
Waiting for job on jic062-nemo-v1-1-v4-mkmlizer to finish
jic062-nemo-v1-1-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jic062-nemo-v1-1-v4-mkmlizer: ║     _____            __           __                                ║
jic062-nemo-v1-1-v4-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jic062-nemo-v1-1-v4-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jic062-nemo-v1-1-v4-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jic062-nemo-v1-1-v4-mkmlizer: ║       /___/                                                         ║
jic062-nemo-v1-1-v4-mkmlizer: ║                                                                     ║
jic062-nemo-v1-1-v4-mkmlizer: ║  Version: 0.10.1                                                    ║
jic062-nemo-v1-1-v4-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jic062-nemo-v1-1-v4-mkmlizer: ║  https://mk1.ai                                                     ║
jic062-nemo-v1-1-v4-mkmlizer: ║                                                                     ║
jic062-nemo-v1-1-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
jic062-nemo-v1-1-v4-mkmlizer: ║  belonging to:                                                      ║
jic062-nemo-v1-1-v4-mkmlizer: ║                                                                     ║
jic062-nemo-v1-1-v4-mkmlizer: ║  Chai Research Corp.                                                ║
jic062-nemo-v1-1-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jic062-nemo-v1-1-v4-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jic062-nemo-v1-1-v4-mkmlizer: ║                                                                     ║
jic062-nemo-v1-1-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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jic062-nemo-v1-1-v4-mkmlizer: Downloaded to shared memory in 49.100s
jic062-nemo-v1-1-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpi5x8p3l4, device:0
jic062-nemo-v1-1-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-nemo-v1-1-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-nemo-v1-1-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-nemo-v1-1-v4
jic062-nemo-v1-1-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-nemo-v1-1-v4/special_tokens_map.json
jic062-nemo-v1-1-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-nemo-v1-1-v4/config.json
jic062-nemo-v1-1-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-nemo-v1-1-v4/tokenizer_config.json
jic062-nemo-v1-1-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-nemo-v1-1-v4/tokenizer.json
jic062-nemo-v1-1-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-nemo-v1-1-v4/flywheel_model.0.safetensors
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Job jic062-nemo-v1-1-v4-mkmlizer completed after 127.84s with status: succeeded
Stopping job with name jic062-nemo-v1-1-v4-mkmlizer
Pipeline stage MKMLizer completed in 128.79s
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Inference service jic062-nemo-v1-1-v4 ready after 170.81986784934998s
Pipeline stage MKMLDeployer completed in 171.19s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3126299381256104s
Received healthy response to inference request in 2.381544589996338s
Received healthy response to inference request in 1.8771238327026367s
Received healthy response to inference request in 1.9627254009246826s
Received healthy response to inference request in 2.225510358810425s
5 requests
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mean time: 2.1519068241119386
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Inference service jic062-nemo-v1-1-v4-profiler ready after 170.3912868499756s
Pipeline stage MKMLProfilerDeployer completed in 170.76s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-nemo-v1-1-v4-profiler-predictor-00001-deployment-858dvkj:/code/chaiverse_profiler_1726249977 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-nemo-v1-1-v4-profiler-predictor-00001-deployment-858dvkj --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726249977 && 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_1726249977/summary.json'
kubectl exec -it jic062-nemo-v1-1-v4-profiler-predictor-00001-deployment-858dvkj --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726249977/summary.json'
Pipeline stage MKMLProfilerRunner completed in 971.80s
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Checking if service jic062-nemo-v1-1-v4-profiler is running
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Service jic062-nemo-v1-1-v4-profiler has been torndown
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Shutdown handler de-registered
jic062-nemo-v1-1_v4 status is now inactive due to auto deactivation removed underperforming models