epiculous-azure-dusk-v0-2

developer_uid: Epiculous

submission_id: epiculous-azure-dusk-v0-2_v1

model_name: Azure_Dusk-v0-2-VT

model_group: Epiculous/Azure_Dusk-v0.

status: torndown

timestamp: 2024-09-09T16:31:49+00:00

num_battles: 12621

num_wins: 6485

celo_rating: 1246.96

family_friendly_score: 0.0

submission_type: basic

model_repo: Epiculous/Azure_Dusk-v0.2

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 512

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6994590580782591, 'latency_mean': 1.4296178233623504, 'latency_p50': 1.429540753364563, 'latency_p90': 1.5880573987960815}, {'batch_size': 3, 'throughput': 1.3158091819002093, 'latency_mean': 2.2719916665554045, 'latency_p50': 2.2665045261383057, 'latency_p90': 2.5026118993759154}, {'batch_size': 5, 'throughput': 1.5703852058420236, 'latency_mean': 3.16495809674263, 'latency_p50': 3.1980167627334595, 'latency_p90': 3.5327499866485597}, {'batch_size': 6, 'throughput': 1.6251108937199585, 'latency_mean': 3.668463416099548, 'latency_p50': 3.7138158082962036, 'latency_p90': 4.130882096290589}, {'batch_size': 8, 'throughput': 1.6109153798322682, 'latency_mean': 4.942424048185348, 'latency_p50': 4.943863153457642, 'latency_p90': 5.570983576774597}, {'batch_size': 10, 'throughput': 1.563646486712016, 'latency_mean': 6.359816110134124, 'latency_p50': 6.376768350601196, 'latency_p90': 7.243695592880249}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: Azure_Dusk-v0-2-VT

is_internal_developer: False

language_model: Epiculous/Azure_Dusk-v0.2

model_size: 13B

ranking_group: single

throughput_3p7s: 1.64

us_pacific_date: 2024-09-09

win_ratio: 0.513826162744632

generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.075, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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 epiculous-azure-dusk-v0-2-v1-mkmlizer
Waiting for job on epiculous-azure-dusk-v0-2-v1-mkmlizer to finish
epiculous-azure-dusk-v0-2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║     _____            __           __                                ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║       /___/                                                         ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║                                                                     ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║                                                                     ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║  belonging to:                                                      ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║                                                                     ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ║                                                                     ║
epiculous-azure-dusk-v0-2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
epiculous-azure-dusk-v0-2-v1-mkmlizer: quantized model in 36.542s
epiculous-azure-dusk-v0-2-v1-mkmlizer: Processed model Epiculous/Azure_Dusk-v0.2 in 82.480s
epiculous-azure-dusk-v0-2-v1-mkmlizer: creating bucket guanaco-mkml-models
epiculous-azure-dusk-v0-2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
epiculous-azure-dusk-v0-2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/epiculous-azure-dusk-v0-2-v1
epiculous-azure-dusk-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/epiculous-azure-dusk-v0-2-v1/config.json
epiculous-azure-dusk-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/epiculous-azure-dusk-v0-2-v1/special_tokens_map.json
epiculous-azure-dusk-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/epiculous-azure-dusk-v0-2-v1/tokenizer_config.json
epiculous-azure-dusk-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/epiculous-azure-dusk-v0-2-v1/tokenizer.json
epiculous-azure-dusk-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/epiculous-azure-dusk-v0-2-v1/flywheel_model.0.safetensors
epiculous-azure-dusk-v0-2-v1-mkmlizer: 
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Job epiculous-azure-dusk-v0-2-v1-mkmlizer completed after 105.18s with status: succeeded
Stopping job with name epiculous-azure-dusk-v0-2-v1-mkmlizer
Pipeline stage MKMLizer completed in 107.76s
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Creating inference service epiculous-azure-dusk-v0-2-v1
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Inference service epiculous-azure-dusk-v0-2-v1 ready after 150.62637901306152s
Pipeline stage MKMLDeployer completed in 151.04s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.538109064102173s
Received healthy response to inference request in 2.048007011413574s
Received healthy response to inference request in 1.7887613773345947s
Received healthy response to inference request in 2.441253423690796s
Received healthy response to inference request in 2.749952793121338s
5 requests
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mean time: 2.313216733932495
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Pipeline stage TriggerMKMLProfilingPipeline completed in 8.44s
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epiculous-azure-dusk-v0-2_v1 status is now deployed due to DeploymentManager action
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Inference service epiculous-azure-dusk-v0-2-v1-profiler ready after 150.33491110801697s
Pipeline stage MKMLProfilerDeployer completed in 150.71s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/epiculous-azure-dusk15987d7b26bee69a27de9c86cf03fce6-deplo57n9n:/code/chaiverse_profiler_1725899979 --namespace tenant-chaiml-guanaco
kubectl exec -it epiculous-azure-dusk15987d7b26bee69a27de9c86cf03fce6-deplo57n9n --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725899979 && 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_1725899979/summary.json'
kubectl exec -it epiculous-azure-dusk15987d7b26bee69a27de9c86cf03fce6-deplo57n9n --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725899979/summary.json'
Pipeline stage MKMLProfilerRunner completed in 946.81s
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Running pipeline stage MKMLProfilerDeleter
Checking if service epiculous-azure-dusk-v0-2-v1-profiler is running
Tearing down inference service epiculous-azure-dusk-v0-2-v1-profiler
Service epiculous-azure-dusk-v0-2-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.82s
Shutdown handler de-registered
epiculous-azure-dusk-v0-2_v1 status is now inactive due to auto deactivation removed underperforming models
epiculous-azure-dusk-v0-2_v1 status is now torndown due to DeploymentManager action