epiculous-violet-twiligh_4666

submission_id: epiculous-violet-twiligh_4666_v2

developer_uid: Epiculous

alignment_samples: 12746

alignment_score: -0.6813293518379056

best_of: 8

celo_rating: 1257.7

display_name: Violet_Twilight-v0-2-VT

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/Violet_Twilight-v0.2

latencies: [{'batch_size': 1, 'throughput': 0.7007235659328666, 'latency_mean': 1.4269981563091279, 'latency_p50': 1.415348768234253, 'latency_p90': 1.5926385402679444}, {'batch_size': 3, 'throughput': 1.337297151046139, 'latency_mean': 2.2343105340003966, 'latency_p50': 2.227197766304016, 'latency_p90': 2.442495894432068}, {'batch_size': 5, 'throughput': 1.5891557235312774, 'latency_mean': 3.129398761987686, 'latency_p50': 3.1491252183914185, 'latency_p90': 3.5209367513656615}, {'batch_size': 6, 'throughput': 1.6331809597159945, 'latency_mean': 3.6481224501132967, 'latency_p50': 3.675716519355774, 'latency_p90': 4.154374670982361}, {'batch_size': 8, 'throughput': 1.6417892494420994, 'latency_mean': 4.848132435083389, 'latency_p50': 4.789567470550537, 'latency_p90': 5.517769026756286}, {'batch_size': 10, 'throughput': 1.5685690696589853, 'latency_mean': 6.334177539348603, 'latency_p50': 6.353080868721008, 'latency_p90': 7.272230386734009}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: Epiculous/Violet_Twiligh

model_name: Violet_Twilight-v0-2-VT

model_num_parameters: 12772070400.0

model_repo: Epiculous/Violet_Twilight-v0.2

model_size: 13B

num_battles: 12742

num_wins: 6613

propriety_score: 0.7123287671232876

propriety_total_count: 1095.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.64

timestamp: 2024-09-12T21:27:14+00:00

us_pacific_date: 2024-09-12

win_ratio: 0.5189923088997018

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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-violet-twiligh-4666-v2-mkmlizer
Waiting for job on epiculous-violet-twiligh-4666-v2-mkmlizer to finish
epiculous-violet-twiligh-4666-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
epiculous-violet-twiligh-4666-v2-mkmlizer: ║     _____            __           __                                ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║       /___/                                                         ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║                                                                     ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║  https://mk1.ai                                                     ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║                                                                     ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║  belonging to:                                                      ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║                                                                     ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║  Chai Research Corp.                                                ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ║                                                                     ║
epiculous-violet-twiligh-4666-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
epiculous-violet-twiligh-4666-v2-mkmlizer: Downloaded to shared memory in 32.534s
epiculous-violet-twiligh-4666-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsfcbzsfk, device:0
epiculous-violet-twiligh-4666-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
epiculous-violet-twiligh-4666-v2-mkmlizer: quantized model in 35.919s
epiculous-violet-twiligh-4666-v2-mkmlizer: Processed model Epiculous/Violet_Twilight-v0.2 in 68.453s
epiculous-violet-twiligh-4666-v2-mkmlizer: creating bucket guanaco-mkml-models
epiculous-violet-twiligh-4666-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
epiculous-violet-twiligh-4666-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/epiculous-violet-twiligh-4666-v2
epiculous-violet-twiligh-4666-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/epiculous-violet-twiligh-4666-v2/config.json
epiculous-violet-twiligh-4666-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/epiculous-violet-twiligh-4666-v2/special_tokens_map.json
epiculous-violet-twiligh-4666-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/epiculous-violet-twiligh-4666-v2/tokenizer_config.json
epiculous-violet-twiligh-4666-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/epiculous-violet-twiligh-4666-v2/tokenizer.json
epiculous-violet-twiligh-4666-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/epiculous-violet-twiligh-4666-v2/flywheel_model.0.safetensors
epiculous-violet-twiligh-4666-v2-mkmlizer: 
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Job epiculous-violet-twiligh-4666-v2-mkmlizer completed after 94.56s with status: succeeded
Stopping job with name epiculous-violet-twiligh-4666-v2-mkmlizer
Pipeline stage MKMLizer completed in 95.84s
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Creating inference service epiculous-violet-twiligh-4666-v2
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Inference service epiculous-violet-twiligh-4666-v2 ready after 181.46418809890747s
Pipeline stage MKMLDeployer completed in 181.85s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2403669357299805s
Received healthy response to inference request in 2.8213109970092773s
Received healthy response to inference request in 1.5745437145233154s
Received healthy response to inference request in 2.4017393589019775s
Received healthy response to inference request in 1.9633581638336182s
5 requests
0 failed requests
5th percentile: 1.652306604385376
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mean time: 2.200263833999634
Pipeline stage StressChecker completed in 11.87s
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Inference service epiculous-violet-twiligh-4666-v2-profiler ready after 170.42106533050537s
Pipeline stage MKMLProfilerDeployer completed in 171.69s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/epiculous-violet-twi40bc7ad4ab7e621d607ca1f6a1097cc6-deplovk854:/code/chaiverse_profiler_1726176947 --namespace tenant-chaiml-guanaco
kubectl exec -it epiculous-violet-twi40bc7ad4ab7e621d607ca1f6a1097cc6-deplovk854 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726176947 && 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_1726176947/summary.json'
kubectl exec -it epiculous-violet-twi40bc7ad4ab7e621d607ca1f6a1097cc6-deplovk854 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726176947/summary.json'
Pipeline stage MKMLProfilerRunner completed in 939.34s
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Running pipeline stage MKMLProfilerDeleter
Checking if service epiculous-violet-twiligh-4666-v2-profiler is running
Tearing down inference service epiculous-violet-twiligh-4666-v2-profiler
Service epiculous-violet-twiligh-4666-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.76s
Shutdown handler de-registered
epiculous-violet-twiligh_4666_v2 status is now inactive due to auto deactivation removed underperforming models