cycy233-nemo-p-e-v0-c4

developer_uid: shiroe40

submission_id: cycy233-nemo-p-e-v0-c4_v1

model_name: auto

model_group: cycy233/nemo-p-e-v0-c4

status: torndown

timestamp: 2024-09-20T03:30:48+00:00

num_battles: 13049

num_wins: 7118

celo_rating: 1285.78

family_friendly_score: 0.0

submission_type: basic

model_repo: cycy233/nemo-p-e-v0-c4

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6244206927585841, 'latency_mean': 1.6014129137992859, 'latency_p50': 1.6011871099472046, 'latency_p90': 1.774201512336731}, {'batch_size': 3, 'throughput': 1.0933828311541542, 'latency_mean': 2.7352037596702576, 'latency_p50': 2.7363513708114624, 'latency_p90': 3.004215407371521}, {'batch_size': 5, 'throughput': 1.2590750907084118, 'latency_mean': 3.9591854500770567, 'latency_p50': 3.952512264251709, 'latency_p90': 4.57321879863739}, {'batch_size': 6, 'throughput': 1.2719636897002489, 'latency_mean': 4.696801069974899, 'latency_p50': 4.684552431106567, 'latency_p90': 5.355732274055481}, {'batch_size': 8, 'throughput': 1.254359062180596, 'latency_mean': 6.342828648090363, 'latency_p50': 6.353716969490051, 'latency_p90': 7.156624364852905}, {'batch_size': 10, 'throughput': 1.2105448087316855, 'latency_mean': 8.216114284992218, 'latency_p50': 8.239762783050537, 'latency_p90': 9.240120601654052}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: auto

is_internal_developer: False

language_model: cycy233/nemo-p-e-v0-c4

model_size: 13B

ranking_group: single

throughput_3p7s: 1.24

us_pacific_date: 2024-09-19

win_ratio: 0.5454824124453981

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

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 cycy233-nemo-p-e-v0-c4-v1-mkmlizer
Waiting for job on cycy233-nemo-p-e-v0-c4-v1-mkmlizer to finish
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║       /___/                                                         ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: Downloaded to shared memory in 59.664s
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptaqsekdy, device:0
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: quantized model in 34.942s
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: Processed model cycy233/nemo-p-e-v0-c4 in 94.606s
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c4-v1
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c4-v1/config.json
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c4-v1/special_tokens_map.json
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c4-v1/tokenizer_config.json
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c4-v1/tokenizer.json
cycy233-nemo-p-e-v0-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-e-v0-c4-v1/flywheel_model.0.safetensors
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Job cycy233-nemo-p-e-v0-c4-v1-mkmlizer completed after 123.45s with status: succeeded
Stopping job with name cycy233-nemo-p-e-v0-c4-v1-mkmlizer
Pipeline stage MKMLizer completed in 124.46s
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Running pipeline stage MKMLDeployer
Creating inference service cycy233-nemo-p-e-v0-c4-v1
Waiting for inference service cycy233-nemo-p-e-v0-c4-v1 to be ready
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Inference service cycy233-nemo-p-e-v0-c4-v1 ready after 201.48800468444824s
Pipeline stage MKMLDeployer completed in 201.91s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.6189658641815186s
Received healthy response to inference request in 1.862539529800415s
Received healthy response to inference request in 2.2124733924865723s
Received healthy response to inference request in 1.8367414474487305s
Received healthy response to inference request in 2.023289680480957s
5 requests
0 failed requests
5th percentile: 1.8419010639190674
10th percentile: 1.8470606803894043
20th percentile: 1.8573799133300781
30th percentile: 1.8946895599365234
40th percentile: 1.9589896202087402
50th percentile: 2.023289680480957
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70th percentile: 2.174636650085449
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90th percentile: 2.45636887550354
95th percentile: 2.5376673698425294
99th percentile: 2.602706165313721
mean time: 2.1108019828796385
Pipeline stage StressChecker completed in 11.91s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Creating inference service cycy233-nemo-p-e-v0-c4-v1-profiler
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Inference service cycy233-nemo-p-e-v0-c4-v1-profiler ready after 200.43698811531067s
Pipeline stage MKMLProfilerDeployer completed in 200.80s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-e-v0-c4-v1-profiler-predictor-00001-deploymhph5v:/code/chaiverse_profiler_1726803641 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-e-v0-c4-v1-profiler-predictor-00001-deploymhph5v --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726803641 && 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_1726803641/summary.json'
kubectl exec -it cycy233-nemo-p-e-v0-c4-v1-profiler-predictor-00001-deploymhph5v --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726803641/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1149.00s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-nemo-p-e-v0-c4-v1-profiler is running
Tearing down inference service cycy233-nemo-p-e-v0-c4-v1-profiler
Service cycy233-nemo-p-e-v0-c4-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 3.13s
Shutdown handler de-registered
cycy233-nemo-p-e-v0-c4_v1 status is now inactive due to auto deactivation removed underperforming models
cycy233-nemo-p-e-v0-c4_v1 status is now torndown due to DeploymentManager action
Pipeline stage MKMLModelDeleter completed in 3.93s
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admin requested tearing down of cycy233-nemo-p-v1-c3_v2
cycy233-nemo-p-e-v0-c4_v1 status is now torndown due to DeploymentManager action
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