submission_id: cycy233-l3-p-v3-c1_v1
developer_uid: shiroe40
alignment_samples: 11010
alignment_score: 0.014192855467111918
best_of: 16
celo_rating: 1247.43
display_name: auto
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/L3-p-v3-c1
latencies: [{'batch_size': 1, 'throughput': 0.9110691101910928, 'latency_mean': 1.0975208067893982, 'latency_p50': 1.0964183807373047, 'latency_p90': 1.2339022636413575}, {'batch_size': 4, 'throughput': 1.816361387815788, 'latency_mean': 2.1998520815372467, 'latency_p50': 2.1896315813064575, 'latency_p90': 2.4350056171417234}, {'batch_size': 5, 'throughput': 1.8925240783617205, 'latency_mean': 2.6309454011917115, 'latency_p50': 2.636759877204895, 'latency_p90': 2.9396759033203126}, {'batch_size': 8, 'throughput': 2.0225881452625925, 'latency_mean': 3.924753004312515, 'latency_p50': 3.9267656803131104, 'latency_p90': 4.4492017984390255}, {'batch_size': 10, 'throughput': 2.0293731046601406, 'latency_mean': 4.880419548749924, 'latency_p50': 4.91570508480072, 'latency_p90': 5.453508377075195}, {'batch_size': 12, 'throughput': 2.0508596473929073, 'latency_mean': 5.775270981788635, 'latency_p50': 5.828934550285339, 'latency_p90': 6.573673892021179}, {'batch_size': 15, 'throughput': 2.02619853414195, 'latency_mean': 7.255151484012604, 'latency_p50': 7.377273082733154, 'latency_p90': 8.198058819770813}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v3-c1
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v3-c1
model_size: 8B
num_battles: 11010
num_wins: 5567
propriety_score: 0.716297786720322
propriety_total_count: 994.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 2.02
timestamp: 2024-09-12T03:13:12+00:00
us_pacific_date: 2024-09-11
win_ratio: 0.5056312443233424
Download Preference Data
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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 cycy233-l3-p-v3-c1-v1-mkmlizer
Waiting for job on cycy233-l3-p-v3-c1-v1-mkmlizer to finish
cycy233-l3-p-v3-c1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v3-c1-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v3-c1-v1-mkmlizer: Downloaded to shared memory in 31.634s
cycy233-l3-p-v3-c1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2mjlfdsj, device:0
cycy233-l3-p-v3-c1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v3-c1-v1-mkmlizer: quantized model in 25.935s
cycy233-l3-p-v3-c1-v1-mkmlizer: Processed model cycy233/L3-p-v3-c1 in 57.570s
cycy233-l3-p-v3-c1-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v3-c1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v3-c1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v3-c1-v1
cycy233-l3-p-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c1-v1/config.json
cycy233-l3-p-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c1-v1/special_tokens_map.json
cycy233-l3-p-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c1-v1/tokenizer_config.json
cycy233-l3-p-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c1-v1/tokenizer.json
cycy233-l3-p-v3-c1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v3-c1-v1/flywheel_model.0.safetensors
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Job cycy233-l3-p-v3-c1-v1-mkmlizer completed after 84.82s with status: succeeded
Stopping job with name cycy233-l3-p-v3-c1-v1-mkmlizer
Pipeline stage MKMLizer completed in 85.74s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.10s
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Running pipeline stage MKMLDeployer
Creating inference service cycy233-l3-p-v3-c1-v1
Waiting for inference service cycy233-l3-p-v3-c1-v1 to be ready
Inference service cycy233-l3-p-v3-c1-v1 ready after 170.454665184021s
Pipeline stage MKMLDeployer completed in 171.33s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.951059341430664s
Received healthy response to inference request in 1.8525481224060059s
Received healthy response to inference request in 5.444472312927246s
Received healthy response to inference request in 2.27744197845459s
Received healthy response to inference request in 1.9192681312561035s
5 requests
0 failed requests
5th percentile: 1.8658921241760253
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70th percentile: 2.2121654510498048
80th percentile: 2.9108480453491214
90th percentile: 4.177660179138184
95th percentile: 4.8110662460327145
99th percentile: 5.31779109954834
mean time: 2.6889579772949217
Pipeline stage StressChecker completed in 14.22s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 7.10s
Shutdown handler de-registered
cycy233-l3-p-v3-c1_v1 status is now deployed due to DeploymentManager action
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Skipping teardown as no inference service was successfully deployed
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service cycy233-l3-p-v3-c1-v1-profiler
Waiting for inference service cycy233-l3-p-v3-c1-v1-profiler to be ready
Inference service cycy233-l3-p-v3-c1-v1-profiler ready after 170.40027046203613s
Pipeline stage MKMLProfilerDeployer completed in 170.76s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v3-c1-v1-profiler-predictor-00001-deployment-z7k4m:/code/chaiverse_profiler_1726111282 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v3-c1-v1-profiler-predictor-00001-deployment-z7k4m --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726111282 && python profiles.py profile --best_of_n 16 --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_1726111282/summary.json'
kubectl exec -it cycy233-l3-p-v3-c1-v1-profiler-predictor-00001-deployment-z7k4m --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726111282/summary.json'
Pipeline stage MKMLProfilerRunner completed in 834.52s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-l3-p-v3-c1-v1-profiler is running
Tearing down inference service cycy233-l3-p-v3-c1-v1-profiler
Service cycy233-l3-p-v3-c1-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.04s
Shutdown handler de-registered
cycy233-l3-p-v3-c1_v1 status is now inactive due to auto deactivation removed underperforming models