developer_uid: chace9580
submission_id: jic062-nemo-v1-7_v2
model_name: jic062-nemo-v1-7_v2
model_group: jic062/Nemo-v1.7
status: torndown
timestamp: 2024-09-24T03:25:55+00:00
num_battles: 22684
num_wins: 12129
celo_rating: 1264.2
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': 0.6171053110388256, 'latency_mean': 1.6204071688652038, 'latency_p50': 1.6213077306747437, 'latency_p90': 1.7945618629455566}, {'batch_size': 3, 'throughput': 1.0937219762613377, 'latency_mean': 2.7328527879714968, 'latency_p50': 2.732895851135254, 'latency_p90': 3.039970302581787}, {'batch_size': 5, 'throughput': 1.2525322932442662, 'latency_mean': 3.985844533443451, 'latency_p50': 4.001837968826294, 'latency_p90': 4.459808611869812}, {'batch_size': 6, 'throughput': 1.2790709150982504, 'latency_mean': 4.669111788272858, 'latency_p50': 4.722796201705933, 'latency_p90': 5.190320992469787}, {'batch_size': 8, 'throughput': 1.2552694206777033, 'latency_mean': 6.33137892127037, 'latency_p50': 6.318492770195007, 'latency_p90': 7.291156864166259}, {'batch_size': 10, 'throughput': 1.2055955908453857, 'latency_mean': 8.239238364696503, 'latency_p50': 8.387887954711914, 'latency_p90': 9.24934742450714}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: jic062-nemo-v1-7_v2
is_internal_developer: False
language_model: jic062/Nemo-v1.7
model_size: 13B
ranking_group: single
throughput_3p7s: 1.23
us_pacific_date: 2024-09-23
win_ratio: 0.5346940574854523
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', '[/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
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Starting job with name jic062-nemo-v1-7-v2-mkmlizer
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jic062-nemo-v1-7-v2-mkmlizer: ║     _____            __           __                                ║
jic062-nemo-v1-7-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jic062-nemo-v1-7-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jic062-nemo-v1-7-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jic062-nemo-v1-7-v2-mkmlizer: ║       /___/                                                         ║
jic062-nemo-v1-7-v2-mkmlizer: ║                                                                     ║
jic062-nemo-v1-7-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
jic062-nemo-v1-7-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jic062-nemo-v1-7-v2-mkmlizer: ║  https://mk1.ai                                                     ║
jic062-nemo-v1-7-v2-mkmlizer: ║                                                                     ║
jic062-nemo-v1-7-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
jic062-nemo-v1-7-v2-mkmlizer: ║  belonging to:                                                      ║
jic062-nemo-v1-7-v2-mkmlizer: ║                                                                     ║
jic062-nemo-v1-7-v2-mkmlizer: ║  Chai Research Corp.                                                ║
jic062-nemo-v1-7-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jic062-nemo-v1-7-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jic062-nemo-v1-7-v2-mkmlizer: ║                                                                     ║
jic062-nemo-v1-7-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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jic062-nemo-v1-7-v2-mkmlizer: Downloaded to shared memory in 45.917s
jic062-nemo-v1-7-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfut7kfy0, device:0
jic062-nemo-v1-7-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_negek_2024-09-20: ('http://zonemercy-lexical-nemov8-5966-v9-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:47864->127.0.0.1:8080: read: connection reset by peer\n')
jic062-nemo-v1-7-v2-mkmlizer: quantized model in 35.654s
jic062-nemo-v1-7-v2-mkmlizer: Processed model jic062/Nemo-v1.7 in 81.572s
jic062-nemo-v1-7-v2-mkmlizer: creating bucket guanaco-mkml-models
jic062-nemo-v1-7-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-nemo-v1-7-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-nemo-v1-7-v2
jic062-nemo-v1-7-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-nemo-v1-7-v2/config.json
jic062-nemo-v1-7-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-nemo-v1-7-v2/special_tokens_map.json
jic062-nemo-v1-7-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-nemo-v1-7-v2/tokenizer_config.json
jic062-nemo-v1-7-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-nemo-v1-7-v2/tokenizer.json
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Job jic062-nemo-v1-7-v2-mkmlizer completed after 108.9s with status: succeeded
Stopping job with name jic062-nemo-v1-7-v2-mkmlizer
Pipeline stage MKMLizer completed in 109.94s
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Inference service jic062-nemo-v1-7-v2 ready after 224.03646183013916s
Pipeline stage MKMLDeployer completed in 224.51s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.501481533050537s
Received healthy response to inference request in 2.5598556995391846s
Received healthy response to inference request in 1.773000717163086s
Received healthy response to inference request in 1.9527854919433594s
Received healthy response to inference request in 1.797614336013794s
5 requests
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5th percentile: 1.7779234409332276
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mean time: 2.116947555541992
Pipeline stage StressChecker completed in 11.85s
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Inference service jic062-nemo-v1-7-v2-profiler ready after 220.50219678878784s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-nemo-v1-7-v2-profiler-predictor-00001-deployment-57kvjrm:/code/chaiverse_profiler_1727148982 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-nemo-v1-7-v2-profiler-predictor-00001-deployment-57kvjrm --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727148982 && 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_1727148982/summary.json'
kubectl exec -it jic062-nemo-v1-7-v2-profiler-predictor-00001-deployment-57kvjrm --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727148982/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1155.16s
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clean up pipeline due to error=TeardownError("module 'kubernetes.config' has no attribute 'load_kube_config'")
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