submission_id: epiculous-azure-dusk-v0-1_v1
developer_uid: Epiculous
alignment_samples: 12267
alignment_score: -1.2661740599818232
best_of: 8
celo_rating: 1241.56
display_name: Azure_Dusk_Alpha_M
formatter: {'memory_template': "<s>{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt} [/INST]', 'bot_template': '{bot_name}: {message}</s>', 'user_template': "{user_name}: {message}\n'", 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.25, 'top_p': 1.0, 'min_p': 0.03, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '[/INST]'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
is_internal_developer: False
language_model: Epiculous/Azure_Dusk-v0.1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Epiculous/Azure_Dusk-v0.
model_name: Azure_Dusk_Alpha_M
model_num_parameters: 12772070400.0
model_repo: Epiculous/Azure_Dusk-v0.1
model_size: 13B
num_battles: 12267
num_wins: 6298
propriety_score: 0.7182222222222222
propriety_total_count: 1125.0
ranking_group: single
status: torndown
submission_type: basic
timestamp: 2024-08-19T23:39:33+00:00
us_pacific_date: 2024-08-19
win_ratio: 0.5134099616858238
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Resubmit model
Running pipeline stage MKMLizer
Starting job with name epiculous-azure-dusk-v0-1-v1-mkmlizer
Waiting for job on epiculous-azure-dusk-v0-1-v1-mkmlizer to finish
Stopping job with name epiculous-azure-dusk-v0-1-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name epiculous-azure-dusk-v0-1-v1-mkmlizer
Waiting for job on epiculous-azure-dusk-v0-1-v1-mkmlizer to finish
epiculous-azure-dusk-v0-1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║     _____            __           __                                ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║       /___/                                                         ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║                                                                     ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║  Version: 0.9.11                                                    ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║                                                                     ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║  belonging to:                                                      ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║                                                                     ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ║                                                                     ║
epiculous-azure-dusk-v0-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
epiculous-azure-dusk-v0-1-v1-mkmlizer: Downloaded to shared memory in 46.038s
epiculous-azure-dusk-v0-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpc8_5fo_7, device:0
epiculous-azure-dusk-v0-1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
epiculous-azure-dusk-v0-1-v1-mkmlizer: quantized model in 35.295s
epiculous-azure-dusk-v0-1-v1-mkmlizer: Processed model Epiculous/Azure_Dusk-v0.1 in 81.333s
epiculous-azure-dusk-v0-1-v1-mkmlizer: creating bucket guanaco-mkml-models
epiculous-azure-dusk-v0-1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
epiculous-azure-dusk-v0-1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/epiculous-azure-dusk-v0-1-v1
epiculous-azure-dusk-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/epiculous-azure-dusk-v0-1-v1/config.json
epiculous-azure-dusk-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/epiculous-azure-dusk-v0-1-v1/special_tokens_map.json
epiculous-azure-dusk-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/epiculous-azure-dusk-v0-1-v1/tokenizer_config.json
epiculous-azure-dusk-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/epiculous-azure-dusk-v0-1-v1/tokenizer.json
epiculous-azure-dusk-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/epiculous-azure-dusk-v0-1-v1/flywheel_model.0.safetensors
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Job epiculous-azure-dusk-v0-1-v1-mkmlizer completed after 104.72s with status: succeeded
Stopping job with name epiculous-azure-dusk-v0-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 106.87s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service epiculous-azure-dusk-v0-1-v1
Waiting for inference service epiculous-azure-dusk-v0-1-v1 to be ready
Failed to get response for submission blend_nibok_2024-08-16: ('http://chaiml-llama-8b-pairwis-8189-v17-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:54842->127.0.0.1:8080: read: connection reset by peer\n')
Inference service epiculous-azure-dusk-v0-1-v1 ready after 241.57064747810364s
Pipeline stage ISVCDeployer completed in 242.55s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1856284141540527s
Received healthy response to inference request in 2.270372152328491s
Received healthy response to inference request in 1.6220221519470215s
Received healthy response to inference request in 1.5555667877197266s
Received healthy response to inference request in 1.5173282623291016s
5 requests
0 failed requests
5th percentile: 1.5249759674072265
10th percentile: 1.5326236724853515
20th percentile: 1.5479190826416016
30th percentile: 1.5688578605651855
40th percentile: 1.5954400062561036
50th percentile: 1.6220221519470215
60th percentile: 1.8474646568298339
70th percentile: 2.072907161712646
80th percentile: 2.2025771617889403
90th percentile: 2.2364746570587157
95th percentile: 2.2534234046936037
99th percentile: 2.2669824028015135
mean time: 1.8301835536956788
Pipeline stage StressChecker completed in 9.91s
epiculous-azure-dusk-v0-1_v1 status is now deployed due to DeploymentManager action
epiculous-azure-dusk-v0-1_v1 status is now inactive due to auto deactivation removed underperforming models
Service epiculous-crimson-dawn-v0-1-v5 has been torndown
epiculous-azure-dusk-v0-1_v1 status is now torndown due to DeploymentManager action

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