epiculous-azure-dusk-bas_2210

developer_uid: Epiculous

submission_id: epiculous-azure-dusk-bas_2210_v1

model_name: Azure_Dusk-v0-2-NORP_VT

model_group: Epiculous/Azure_Dusk-Bas

status: torndown

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

num_battles: 12604

num_wins: 6336

celo_rating: 1245.86

family_friendly_score: 0.0

submission_type: basic

model_repo: Epiculous/Azure_Dusk-Base-Instruct-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': 0.7023891351029451, '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}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: Azure_Dusk-v0-2-NORP_VT

is_internal_developer: False

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

model_size: 13B

ranking_group: single

throughput_3p7s: 1.65

us_pacific_date: 2024-09-10

win_ratio: 0.5026975563313234

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-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
Pipeline stage MKMLDeployer completed in 151.26s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2794485092163086s
Received healthy response to inference request in 2.003941059112549s
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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95th percentile: 2.2320948600769044
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mean time: 2.0185667514801025
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Inference service epiculous-azure-dusk-bas-2210-v1-profiler ready after 150.3674829006195s
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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