cycy233-nemo-p-e-v1-c2

developer_uid: shiroe40
submission_id: cycy233-nemo-p-e-v1-c2_v1
model_name: auto
model_group: cycy233/nemo-p-e-v1-c2
status: torndown
timestamp: 2024-09-23T06:37:55+00:00
num_battles: 64567
num_wins: 33584
celo_rating: 1259.76
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/nemo-p-e-v1-c2
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6135634423471384, 'latency_mean': 1.6297633624076844, 'latency_p50': 1.6379283666610718, 'latency_p90': 1.796631360054016}, {'batch_size': 3, 'throughput': 1.0693854426857787, 'latency_mean': 2.7922873842716216, 'latency_p50': 2.7972275018692017, 'latency_p90': 3.0976025819778443}, {'batch_size': 5, 'throughput': 1.2293981622351344, 'latency_mean': 4.049169125556946, 'latency_p50': 4.035145401954651, 'latency_p90': 4.5035666704177855}, {'batch_size': 6, 'throughput': 1.2635009631975294, 'latency_mean': 4.724646450281143, 'latency_p50': 4.698141574859619, 'latency_p90': 5.294569325447083}, {'batch_size': 8, 'throughput': 1.2400863644837712, 'latency_mean': 6.410430179834366, 'latency_p50': 6.40523624420166, 'latency_p90': 7.248069596290589}, {'batch_size': 10, 'throughput': 1.20608532685677, 'latency_mean': 8.229727687835693, 'latency_p50': 8.226515173912048, 'latency_p90': 9.305122089385986}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: auto
is_internal_developer: False
language_model: cycy233/nemo-p-e-v1-c2
model_size: 13B
ranking_group: single
throughput_3p7s: 1.2
us_pacific_date: 2024-09-22
win_ratio: 0.520141868136974
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>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
Resubmit model
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run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name cycy233-nemo-p-e-v1-c2-v1-mkmlizer
Waiting for job on cycy233-nemo-p-e-v1-c2-v1-mkmlizer to finish
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║       /___/                                                         ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: Downloaded to shared memory in 47.661s
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_qqu2mt6, device:0
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cycy233-nemo-p-e-v1-c2-v1-mkmlizer: quantized model in 39.475s
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: Processed model cycy233/nemo-p-e-v1-c2 in 87.137s
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c2-v1
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c2-v1/config.json
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c2-v1/special_tokens_map.json
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c2-v1/tokenizer_config.json
cycy233-nemo-p-e-v1-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c2-v1/tokenizer.json
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cycy233-nemo-p-e-v1-c2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-e-v1-c2-v1/flywheel_model.0.safetensors
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Job cycy233-nemo-p-e-v1-c2-v1-mkmlizer completed after 136.97s with status: succeeded
Stopping job with name cycy233-nemo-p-e-v1-c2-v1-mkmlizer
Pipeline stage MKMLizer completed in 137.77s
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Pipeline stage MKMLTemplater completed in 0.29s
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Creating inference service cycy233-nemo-p-e-v1-c2-v1
Waiting for inference service cycy233-nemo-p-e-v1-c2-v1 to be ready
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Inference service cycy233-nemo-p-e-v1-c2-v1 ready after 200.95695567131042s
Pipeline stage MKMLDeployer completed in 202.55s
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Received healthy response to inference request in 3.573646306991577s
Received healthy response to inference request in 2.349637985229492s
Received healthy response to inference request in 2.2633612155914307s
Received healthy response to inference request in 3.04972505569458s
Received healthy response to inference request in 1.7377853393554688s
5 requests
0 failed requests
5th percentile: 1.8429005146026611
10th percentile: 1.9480156898498535
20th percentile: 2.1582460403442383
30th percentile: 2.280616569519043
40th percentile: 2.3151272773742675
50th percentile: 2.349637985229492
60th percentile: 2.629672813415527
70th percentile: 2.909707641601562
80th percentile: 3.1545093059539795
90th percentile: 3.3640778064727783
95th percentile: 3.4688620567321777
99th percentile: 3.552689456939697
mean time: 2.59483118057251
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-e-v1-c2-v1-profiler-predictor-00001-deploym2bn42:/code/chaiverse_profiler_1727074069 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-e-v1-c2-v1-profiler-predictor-00001-deploym2bn42 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727074069 && 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_1727074069/summary.json'
kubectl exec -it cycy233-nemo-p-e-v1-c2-v1-profiler-predictor-00001-deploym2bn42 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727074069/summary.json'
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Pipeline stage MKMLDeleter completed in 5.18s
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rica40325-mistral-test1-v6-mkmlizer: quantized model in 40.610s
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rica40325-mistral-test1-v6-mkmlizer: Processed model rica40325/mistral-test1 in 99.533s
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Pipeline stage MKMLDeleter completed in 7.17s
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rica40325-mistral-test1-v6-mkmlizer: creating bucket guanaco-mkml-models
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Pipeline stage MKMLDeleter completed in 6.73s
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rica40325-mistral-test1-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
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Pipeline stage MKMLDeleter completed in 7.34s
rica40325-mistral-test1-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-mistral-test1-v6
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rica40325-mistral-test1-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-mistral-test1-v6/config.json
Cleaning model data from S3
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rica40325-mistral-test1-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-mistral-test1-v6/special_tokens_map.json
Cleaning model data from model cache
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rica40325-mistral-test1-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-mistral-test1-v6/tokenizer_config.json
Cleaning model data from model cache
rica40325-mistral-test1-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-mistral-test1-v6/tokenizer.json
Deleting key cycy233-nemo-p-e-v2-c4-v1/config.json from bucket guanaco-mkml-models
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Deleting key cycy233-nemo-p-e-v2-c4-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
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rica40325-mistral-test1-v7-mkmlizer: Downloaded to shared memory in 65.551s
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rica40325-mistral-test1-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpl4xou52_, device:0
Deleting key cycy233-nemo-p-e-v2-c4-v1/special_tokens_map.json from bucket guanaco-mkml-models
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rica40325-mistral-test1-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Deleting key cycy233-nemo-p-e-v1-c3-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-nemo-p-e-v1-c1-v1/special_tokens_map.json from bucket guanaco-mkml-models
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Inference service rica40325-mistral-test1-v5 ready after 140.6842110157013s
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Deleting key cycy233-nemo-p-e-v2-c1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Pipeline stage MKMLModelDeleter completed in 11.53s
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Pipeline stage MKMLDeployer completed in 143.00s
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Pipeline stage MKMLModelDeleter completed in 21.85s
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Job rica40325-mistral-test1-v6-mkmlizer completed after 134.97s with status: succeeded
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