cycy233-l3-p-v2-c4

submission_id: cycy233-l3-p-v2-c4_v2

developer_uid: shiroe40

alignment_samples: 10879

alignment_score: -0.2804003050058953

best_of: 16

celo_rating: 1248.11

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-v2-c4

latencies: [{'batch_size': 1, 'throughput': 0.9187640763172559, 'latency_mean': 1.088347749710083, 'latency_p50': 1.0809085369110107, 'latency_p90': 1.2280253887176513}, {'batch_size': 4, 'throughput': 1.7732814760364404, 'latency_mean': 2.2527752602100373, 'latency_p50': 2.2504197359085083, 'latency_p90': 2.528057646751404}, {'batch_size': 5, 'throughput': 1.870029881638341, 'latency_mean': 2.6561617934703827, 'latency_p50': 2.6550475358963013, 'latency_p90': 2.9750905752182004}, {'batch_size': 8, 'throughput': 1.9749583171090306, 'latency_mean': 4.016916311979294, 'latency_p50': 4.0245219469070435, 'latency_p90': 4.4464311599731445}, {'batch_size': 10, 'throughput': 2.0357841568883286, 'latency_mean': 4.864982694387436, 'latency_p50': 4.871996998786926, 'latency_p90': 5.6497605562210085}, {'batch_size': 12, 'throughput': 2.0018329236889207, 'latency_mean': 5.918327317237854, 'latency_p50': 5.935218572616577, 'latency_p90': 6.823033738136291}, {'batch_size': 15, 'throughput': 1.9957425816656462, 'latency_mean': 7.370493528842926, 'latency_p50': 7.470153093338013, 'latency_p90': 8.215447759628296}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: cycy233/L3-p-v2-c4

model_name: auto

model_num_parameters: 8030261248.0

model_repo: cycy233/L3-p-v2-c4

model_size: 8B

num_battles: 10879

num_wins: 5516

propriety_score: 0.7008830022075055

propriety_total_count: 906.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.97

timestamp: 2024-09-10T03:06:01+00:00

us_pacific_date: 2024-09-09

win_ratio: 0.5070318963139995

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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-v2-c4-v2-mkmlizer
Waiting for job on cycy233-l3-p-v2-c4-v2-mkmlizer to finish
cycy233-l3-p-v2-c4-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v2-c4-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v2-c4-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
cycy233-l3-p-v2-c4-v2-mkmlizer: Downloaded to shared memory in 28.565s
cycy233-l3-p-v2-c4-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9eittc7o, device:0
cycy233-l3-p-v2-c4-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v2-c4-v2-mkmlizer: quantized model in 25.858s
cycy233-l3-p-v2-c4-v2-mkmlizer: Processed model cycy233/L3-p-v2-c4 in 54.423s
cycy233-l3-p-v2-c4-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v2-c4-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v2-c4-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v2-c4-v2
cycy233-l3-p-v2-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v2-c4-v2/tokenizer_config.json
cycy233-l3-p-v2-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v2-c4-v2/tokenizer.json
cycy233-l3-p-v2-c4-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v2-c4-v2/flywheel_model.0.safetensors
cycy233-l3-p-v2-c4-v2-mkmlizer: 
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Job cycy233-l3-p-v2-c4-v2-mkmlizer completed after 73.44s with status: succeeded
Stopping job with name cycy233-l3-p-v2-c4-v2-mkmlizer
Pipeline stage MKMLizer completed in 74.42s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.08s
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Running pipeline stage MKMLDeployer
Creating inference service cycy233-l3-p-v2-c4-v2
Waiting for inference service cycy233-l3-p-v2-c4-v2 to be ready
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Inference service cycy233-l3-p-v2-c4-v2 ready after 160.58695912361145s
Pipeline stage MKMLDeployer completed in 160.92s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.8382322788238525s
Received healthy response to inference request in 2.4130547046661377s
Received healthy response to inference request in 1.7483727931976318s
Received healthy response to inference request in 2.6176698207855225s
Received healthy response to inference request in 2.219087600708008s
5 requests
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5th percentile: 1.842515754699707
10th percentile: 1.9366587162017823
20th percentile: 2.124944639205933
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50th percentile: 2.4130547046661377
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90th percentile: 2.7500072956085204
95th percentile: 2.7941197872161867
99th percentile: 2.8294097805023193
mean time: 2.3672834396362306
Pipeline stage StressChecker completed in 13.30s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.20s
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Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Waiting for inference service cycy233-l3-p-v2-c4-v2-profiler to be ready
Inference service cycy233-l3-p-v2-c4-v2-profiler ready after 160.36403918266296s
Pipeline stage MKMLProfilerDeployer completed in 160.73s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v2-c4-v2-profiler-predictor-00001-deployment-xd624:/code/chaiverse_profiler_1725938020 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v2-c4-v2-profiler-predictor-00001-deployment-xd624 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725938020 && 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_1725938020/summary.json'
kubectl exec -it cycy233-l3-p-v2-c4-v2-profiler-predictor-00001-deployment-xd624 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725938020/summary.json'
Pipeline stage MKMLProfilerRunner completed in 844.46s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-l3-p-v2-c4-v2-profiler is running
Tearing down inference service cycy233-l3-p-v2-c4-v2-profiler
Service cycy233-l3-p-v2-c4-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.71s
Shutdown handler de-registered
cycy233-l3-p-v2-c4_v2 status is now inactive due to auto deactivation removed underperforming models