submission_id: jic062-nemo-v1-7_v2
developer_uid: chace9580
best_of: 8
celo_rating: 1264.2
display_name: jic062-nemo-v1-7_v2
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': 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}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: jic062/Nemo-v1.7
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}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: jic062/Nemo-v1.7
model_name: jic062-nemo-v1-7_v2
model_num_parameters: 12772070400.0
model_repo: jic062/Nemo-v1.7
model_size: 13B
num_battles: 22684
num_wins: 12129
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.23
timestamp: 2024-09-24T03:25:55+00:00
us_pacific_date: 2024-09-23
win_ratio: 0.5346940574854523
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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: ║  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
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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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Received healthy response to inference request in 2.501481533050537s
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Received healthy response to inference request in 1.797614336013794s
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mean time: 2.116947555541992
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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'
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