submission_id: cycy233-l3-p-v4-c4_v1
developer_uid: shiroe40
alignment_samples: 13314
alignment_score: 0.35516036856108263
best_of: 16
celo_rating: 1244.78
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-v4-c4
latencies: [{'batch_size': 1, 'throughput': 0.9005677663929914, 'latency_mean': 1.1103504753112794, 'latency_p50': 1.115014672279358, 'latency_p90': 1.2404215812683106}, {'batch_size': 4, 'throughput': 1.8112435356080077, 'latency_mean': 2.20149272441864, 'latency_p50': 2.198276996612549, 'latency_p90': 2.465997743606567}, {'batch_size': 5, 'throughput': 1.910174719497693, 'latency_mean': 2.6029925715923308, 'latency_p50': 2.582041025161743, 'latency_p90': 2.938982105255127}, {'batch_size': 8, 'throughput': 2.010207269027738, 'latency_mean': 3.9513593912124634, 'latency_p50': 3.975353240966797, 'latency_p90': 4.385528564453125}, {'batch_size': 10, 'throughput': 2.0147985304988247, 'latency_mean': 4.916579023599625, 'latency_p50': 4.924864888191223, 'latency_p90': 5.580711126327515}, {'batch_size': 12, 'throughput': 2.0263979742397584, 'latency_mean': 5.8428849709033965, 'latency_p50': 5.873106241226196, 'latency_p90': 6.847104907035828}, {'batch_size': 15, 'throughput': 2.0272115395713266, 'latency_mean': 7.246592245101929, 'latency_p50': 7.37213397026062, 'latency_p90': 8.149164938926697}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v4-c4
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v4-c4
model_size: 8B
num_battles: 13314
num_wins: 6653
propriety_score: 0.6891418563922942
propriety_total_count: 1142.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 2.01
timestamp: 2024-09-13T02:20:36+00:00
us_pacific_date: 2024-09-12
win_ratio: 0.49969956436833407
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-v4-c4-v1-mkmlizer
Waiting for job on cycy233-l3-p-v4-c4-v1-mkmlizer to finish
cycy233-l3-p-v4-c4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v4-c4-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v4-c4-v1-mkmlizer: Downloaded to shared memory in 33.063s
cycy233-l3-p-v4-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqzyjp2u9, device:0
cycy233-l3-p-v4-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v4-c4-v1-mkmlizer: quantized model in 26.126s
cycy233-l3-p-v4-c4-v1-mkmlizer: Processed model cycy233/L3-p-v4-c4 in 59.190s
cycy233-l3-p-v4-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v4-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v4-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v4-c4-v1
cycy233-l3-p-v4-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c4-v1/config.json
cycy233-l3-p-v4-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c4-v1/special_tokens_map.json
cycy233-l3-p-v4-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c4-v1/tokenizer_config.json
cycy233-l3-p-v4-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c4-v1/tokenizer.json
Job cycy233-l3-p-v4-c4-v1-mkmlizer completed after 84.44s with status: succeeded
Stopping job with name cycy233-l3-p-v4-c4-v1-mkmlizer
Pipeline stage MKMLizer completed in 85.83s
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Running pipeline stage MKMLDeployer
Creating inference service cycy233-l3-p-v4-c4-v1
Waiting for inference service cycy233-l3-p-v4-c4-v1 to be ready
Inference service cycy233-l3-p-v4-c4-v1 ready after 180.92004537582397s
Pipeline stage MKMLDeployer completed in 181.48s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.343867778778076s
Received healthy response to inference request in 2.0519986152648926s
Received healthy response to inference request in 1.6884346008300781s
Received healthy response to inference request in 1.4332807064056396s
Received healthy response to inference request in 2.077493906021118s
5 requests
0 failed requests
5th percentile: 1.4843114852905273
10th percentile: 1.535342264175415
20th percentile: 1.6374038219451905
30th percentile: 1.761147403717041
40th percentile: 1.9065730094909668
50th percentile: 2.0519986152648926
60th percentile: 2.062196731567383
70th percentile: 2.072394847869873
80th percentile: 2.1307686805725097
90th percentile: 2.237318229675293
95th percentile: 2.2905930042266847
99th percentile: 2.333212823867798
mean time: 1.919015121459961
Pipeline stage StressChecker completed in 10.34s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.70s
Shutdown handler de-registered
cycy233-l3-p-v4-c4_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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-v4-c4-v1-profiler
Waiting for inference service cycy233-l3-p-v4-c4-v1-profiler to be ready
Inference service cycy233-l3-p-v4-c4-v1-profiler ready after 180.474778175354s
Pipeline stage MKMLProfilerDeployer completed in 180.82s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v4-c4-v1-profiler-predictor-00001-deployment-j27tc:/code/chaiverse_profiler_1726194537 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v4-c4-v1-profiler-predictor-00001-deployment-j27tc --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726194537 && 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_1726194537/summary.json'
kubectl exec -it cycy233-l3-p-v4-c4-v1-profiler-predictor-00001-deployment-j27tc --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726194537/summary.json'
Pipeline stage MKMLProfilerRunner completed in 840.65s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-l3-p-v4-c4-v1-profiler is running
Tearing down inference service cycy233-l3-p-v4-c4-v1-profiler
Service cycy233-l3-p-v4-c4-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.76s
Shutdown handler de-registered
cycy233-l3-p-v4-c4_v1 status is now inactive due to auto deactivation removed underperforming models