epiculous-azure-dusk-bas_2210

submission_id: epiculous-azure-dusk-bas_2210_v1

developer_uid: Epiculous

best_of: 8

celo_rating: 1245.86

display_name: Azure_Dusk-v0-2-NORP_VT

family_friendly_score: 0.0

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}

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}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: Epiculous/Azure_Dusk-Base-Instruct-v0.2

latencies: [{'batch_size': 1, 'throughput': 0.7023891351029451, 'latency_mean': 1.423653531074524, 'latency_p50': 1.4138360023498535, 'latency_p90': 1.6003567934036256}, {'batch_size': 3, 'throughput': 1.3508482691330608, 'latency_mean': 2.2108935010433197, 'latency_p50': 2.198080539703369, 'latency_p90': 2.446429681777954}, {'batch_size': 5, 'throughput': 1.611367776016812, 'latency_mean': 3.081811366081238, 'latency_p50': 3.091226577758789, 'latency_p90': 3.5114348888397218}, {'batch_size': 6, 'throughput': 1.6433166879847458, 'latency_mean': 3.6401929163932802, 'latency_p50': 3.6475054025650024, 'latency_p90': 4.104503345489502}, {'batch_size': 8, 'throughput': 1.5961490827090135, 'latency_mean': 4.997523243427277, 'latency_p50': 4.984360098838806, 'latency_p90': 5.648513698577881}, {'batch_size': 10, 'throughput': 1.5418442305002469, 'latency_mean': 6.444088622331619, 'latency_p50': 6.483338356018066, 'latency_p90': 7.452718663215637}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: Epiculous/Azure_Dusk-Bas

model_name: Azure_Dusk-v0-2-NORP_VT

model_num_parameters: 12772070400.0

model_repo: Epiculous/Azure_Dusk-Base-Instruct-v0.2

model_size: 13B

num_battles: 12604

num_wins: 6336

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 1.65

timestamp: 2024-09-11T00:45:13+00:00

us_pacific_date: 2024-09-10

win_ratio: 0.5026975563313234

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name epiculous-azure-dusk-bas-2210-v1-mkmlizer
Waiting for job on epiculous-azure-dusk-bas-2210-v1-mkmlizer to finish
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║     _____            __           __                                ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║       /___/                                                         ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║                                                                     ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║  https://mk1.ai                                                     ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║                                                                     ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║  belonging to:                                                      ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║                                                                     ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║  Chai Research Corp.                                                ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ║                                                                     ║
epiculous-azure-dusk-bas-2210-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
epiculous-azure-dusk-bas-2210-v1-mkmlizer: Downloaded to shared memory in 45.637s
epiculous-azure-dusk-bas-2210-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp89jrg3pn, device:0
epiculous-azure-dusk-bas-2210-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
epiculous-azure-dusk-bas-2210-v1-mkmlizer: quantized model in 35.403s
epiculous-azure-dusk-bas-2210-v1-mkmlizer: Processed model Epiculous/Azure_Dusk-Base-Instruct-v0.2 in 81.040s
epiculous-azure-dusk-bas-2210-v1-mkmlizer: creating bucket guanaco-mkml-models
epiculous-azure-dusk-bas-2210-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
epiculous-azure-dusk-bas-2210-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/epiculous-azure-dusk-bas-2210-v1
epiculous-azure-dusk-bas-2210-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/epiculous-azure-dusk-bas-2210-v1/config.json
epiculous-azure-dusk-bas-2210-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/epiculous-azure-dusk-bas-2210-v1/special_tokens_map.json
epiculous-azure-dusk-bas-2210-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/epiculous-azure-dusk-bas-2210-v1/tokenizer_config.json
epiculous-azure-dusk-bas-2210-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/epiculous-azure-dusk-bas-2210-v1/tokenizer.json
Connection pool is full, discarding connection: %s. Connection pool size: %s
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epiculous-azure-dusk-bas-2210-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/epiculous-azure-dusk-bas-2210-v1/flywheel_model.0.safetensors
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Job epiculous-azure-dusk-bas-2210-v1-mkmlizer completed after 106.08s with status: succeeded
Stopping job with name epiculous-azure-dusk-bas-2210-v1-mkmlizer
Pipeline stage MKMLizer completed in 107.11s
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Creating inference service epiculous-azure-dusk-bas-2210-v1
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Inference service epiculous-azure-dusk-bas-2210-v1 ready after 150.8796842098236s
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Received healthy response to inference request in 2.2794485092163086s
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Received healthy response to inference request in 1.749812364578247s
Received healthy response to inference request in 2.016951560974121s
Received healthy response to inference request in 2.042680263519287s
5 requests
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/epiculous-azure-dusk84152fd1bbe77e6d523b72059ae6221d-deplolvmzj:/code/chaiverse_profiler_1726015982 --namespace tenant-chaiml-guanaco
kubectl exec -it epiculous-azure-dusk84152fd1bbe77e6d523b72059ae6221d-deplolvmzj --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726015982 && 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_1726015982/summary.json'
kubectl exec -it epiculous-azure-dusk84152fd1bbe77e6d523b72059ae6221d-deplolvmzj --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726015982/summary.json'
Pipeline stage MKMLProfilerRunner completed in 938.50s
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admin requested tearing down of chaiml-0917-bot-dominant_6324_v2