submission_id: epiculous-violet-twiligh_4666_v1
developer_uid: Epiculous
best_of: 8
celo_rating: 1251.81
display_name: Violet_Twilight-v0-2-High-T
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': 5.0, 'top_p': 1.0, 'min_p': 0.55, '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': 0.6992338461227252, 'latency_mean': 1.4300464904308319, 'latency_p50': 1.4278417825698853, 'latency_p90': 1.5818140029907226}, {'batch_size': 3, 'throughput': 1.339085932634582, 'latency_mean': 2.234408733844757, 'latency_p50': 2.235610246658325, 'latency_p90': 2.479797196388245}, {'batch_size': 5, 'throughput': 1.6022799501676628, 'latency_mean': 3.1062233698368074, 'latency_p50': 3.116877317428589, 'latency_p90': 3.475067162513733}, {'batch_size': 6, 'throughput': 1.6375972830755312, 'latency_mean': 3.6470706152915953, 'latency_p50': 3.700829029083252, 'latency_p90': 4.085373497009277}, {'batch_size': 8, 'throughput': 1.6091191603489723, 'latency_mean': 4.932424457073211, 'latency_p50': 4.929110288619995, 'latency_p90': 5.538343667984009}, {'batch_size': 10, 'throughput': 1.5563483051197404, 'latency_mean': 6.38240587592125, 'latency_p50': 6.4279820919036865, 'latency_p90': 7.266347503662109}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Epiculous/Violet_Twiligh
model_name: Violet_Twilight-v0-2-High-T
model_num_parameters: 12772070400.0
model_repo: Epiculous/Violet_Twilight-v0.2
model_size: 13B
num_battles: 11927
num_wins: 6146
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.64
timestamp: 2024-09-12T19:46:33+00:00
us_pacific_date: 2024-09-12
win_ratio: 0.5153014169531316
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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-violet-twiligh-4666-v1-mkmlizer
Waiting for job on epiculous-violet-twiligh-4666-v1-mkmlizer to finish
epiculous-violet-twiligh-4666-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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epiculous-violet-twiligh-4666-v1-mkmlizer: ║ /___/ ║
epiculous-violet-twiligh-4666-v1-mkmlizer: ║ ║
epiculous-violet-twiligh-4666-v1-mkmlizer: ║ Version: 0.10.1 ║
epiculous-violet-twiligh-4666-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
epiculous-violet-twiligh-4666-v1-mkmlizer: ║ https://mk1.ai ║
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epiculous-violet-twiligh-4666-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
epiculous-violet-twiligh-4666-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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epiculous-violet-twiligh-4666-v1-mkmlizer: Downloaded to shared memory in 37.913s
epiculous-violet-twiligh-4666-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpd4eavjtj, device:0
epiculous-violet-twiligh-4666-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
epiculous-violet-twiligh-4666-v1-mkmlizer: quantized model in 35.854s
epiculous-violet-twiligh-4666-v1-mkmlizer: Processed model Epiculous/Violet_Twilight-v0.2 in 73.768s
epiculous-violet-twiligh-4666-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
epiculous-violet-twiligh-4666-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/epiculous-violet-twiligh-4666-v1
epiculous-violet-twiligh-4666-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/epiculous-violet-twiligh-4666-v1/config.json
epiculous-violet-twiligh-4666-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/epiculous-violet-twiligh-4666-v1/special_tokens_map.json
epiculous-violet-twiligh-4666-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/epiculous-violet-twiligh-4666-v1/tokenizer_config.json
epiculous-violet-twiligh-4666-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/epiculous-violet-twiligh-4666-v1/tokenizer.json
epiculous-violet-twiligh-4666-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/epiculous-violet-twiligh-4666-v1/flywheel_model.0.safetensors
Job epiculous-violet-twiligh-4666-v1-mkmlizer completed after 105.34s with status: succeeded
Stopping job with name epiculous-violet-twiligh-4666-v1-mkmlizer
Pipeline stage MKMLizer completed in 106.26s
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Inference service epiculous-violet-twiligh-4666-v1 ready after 170.55149269104004s
Pipeline stage MKMLDeployer completed in 170.95s
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Received healthy response to inference request in 2.402426242828369s
Received healthy response to inference request in 3.015423059463501s
Received healthy response to inference request in 1.8561224937438965s
Received healthy response to inference request in 2.4261341094970703s
Received healthy response to inference request in 1.791083574295044s
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5th percentile: 1.8040913581848144
10th percentile: 1.817099142074585
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95th percentile: 2.8975652694702148
99th percentile: 2.991851501464844
mean time: 2.2982378959655763
Pipeline stage StressChecker completed in 12.38s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.69s
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Inference service epiculous-violet-twiligh-4666-v1-profiler ready after 170.4218783378601s
Pipeline stage MKMLProfilerDeployer completed in 170.82s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/epiculous-violet-twi2c231ccb0ed8da3270d896622355d183-deplo4gkrt:/code/chaiverse_profiler_1726170910 --namespace tenant-chaiml-guanaco
kubectl exec -it epiculous-violet-twi2c231ccb0ed8da3270d896622355d183-deplo4gkrt --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726170910 && 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_1726170910/summary.json'
kubectl exec -it epiculous-violet-twi2c231ccb0ed8da3270d896622355d183-deplo4gkrt --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726170910/summary.json'
Pipeline stage MKMLProfilerRunner completed in 940.73s
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Checking if service epiculous-violet-twiligh-4666-v1-profiler is running
Tearing down inference service epiculous-violet-twiligh-4666-v1-profiler
Service epiculous-violet-twiligh-4666-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 3.51s
Shutdown handler de-registered
epiculous-violet-twiligh_4666_v1 status is now inactive due to auto deactivation removed underperforming models
epiculous-violet-twiligh_4666_v1 status is now torndown due to DeploymentManager action