submission_id: cycy233-l3-p-v1-c4_v1
developer_uid: shiroe40
alignment_samples: 11304
alignment_score: 0.04919057381662737
best_of: 16
celo_rating: 1255.3
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-v1-c4
latencies: [{'batch_size': 1, 'throughput': 0.8999603240457869, 'latency_mean': 1.1110937345027923, 'latency_p50': 1.124469518661499, 'latency_p90': 1.2322253704071044}, {'batch_size': 4, 'throughput': 1.7980640296536456, 'latency_mean': 2.2167507660388948, 'latency_p50': 2.223546862602234, 'latency_p90': 2.481722187995911}, {'batch_size': 5, 'throughput': 1.8844079444717539, 'latency_mean': 2.6437380361557006, 'latency_p50': 2.622496008872986, 'latency_p90': 2.9454896688461303}, {'batch_size': 8, 'throughput': 2.000995568650382, 'latency_mean': 3.9738320899009705, 'latency_p50': 4.026252031326294, 'latency_p90': 4.500487518310547}, {'batch_size': 10, 'throughput': 2.029597153052243, 'latency_mean': 4.883272210359573, 'latency_p50': 4.881932258605957, 'latency_p90': 5.723604393005371}, {'batch_size': 12, 'throughput': 2.033177338032037, 'latency_mean': 5.816126766204834, 'latency_p50': 5.805496454238892, 'latency_p90': 6.736151576042175}, {'batch_size': 15, 'throughput': 2.043013670005117, 'latency_mean': 7.203268933296203, 'latency_p50': 7.303053259849548, 'latency_p90': 8.10137152671814}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v1-c4
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v1-c4
model_size: 8B
num_battles: 11304
num_wins: 5815
propriety_score: 0.710261569416499
propriety_total_count: 994.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 2.0
timestamp: 2024-09-09T03:23:11+00:00
us_pacific_date: 2024-09-08
win_ratio: 0.5144196744515216
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Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name cycy233-l3-p-v1-c4-v1-mkmlizer
Waiting for job on cycy233-l3-p-v1-c4-v1-mkmlizer to finish
cycy233-l3-p-v1-c4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v1-c4-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v1-c4-v1-mkmlizer: Downloaded to shared memory in 36.029s
cycy233-l3-p-v1-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9znn7s8m, device:0
cycy233-l3-p-v1-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cycy233-l3-p-v1-c4-v1-mkmlizer: quantized model in 25.801s
cycy233-l3-p-v1-c4-v1-mkmlizer: Processed model cycy233/L3-p-v1-c4 in 61.830s
cycy233-l3-p-v1-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v1-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v1-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v1
cycy233-l3-p-v1-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v1/config.json
cycy233-l3-p-v1-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v1/special_tokens_map.json
cycy233-l3-p-v1-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v1/tokenizer_config.json
cycy233-l3-p-v1-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v1/flywheel_model.0.safetensors
cycy233-l3-p-v1-c4-v1-mkmlizer: 
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Job cycy233-l3-p-v1-c4-v1-mkmlizer completed after 84.04s with status: succeeded
Stopping job with name cycy233-l3-p-v1-c4-v1-mkmlizer
Pipeline stage MKMLizer completed in 84.82s
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Pipeline stage MKMLTemplater completed in 0.80s
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Creating inference service cycy233-l3-p-v1-c4-v1
Waiting for inference service cycy233-l3-p-v1-c4-v1 to be ready
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Inference service cycy233-l3-p-v1-c4-v1 ready after 151.79049038887024s
Pipeline stage MKMLDeployer completed in 152.26s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.0386667251586914s
Received healthy response to inference request in 2.1806859970092773s
Received healthy response to inference request in 1.9352214336395264s
Received healthy response to inference request in 2.370138645172119s
Received healthy response to inference request in 2.699394702911377s
5 requests
0 failed requests
5th percentile: 1.9559104919433594
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50th percentile: 2.1806859970092773
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90th percentile: 2.567692279815674
95th percentile: 2.6335434913635254
99th percentile: 2.6862244606018066
mean time: 2.2448215007781984
Pipeline stage StressChecker completed in 12.06s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.55s
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cycy233-l3-p-v1-c4_v1 status is now deployed due to DeploymentManager action
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Creating inference service cycy233-l3-p-v1-c4-v1-profiler
Waiting for inference service cycy233-l3-p-v1-c4-v1-profiler to be ready
Inference service cycy233-l3-p-v1-c4-v1-profiler ready after 150.35387563705444s
Pipeline stage MKMLProfilerDeployer completed in 151.56s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v1-c4-v1-profiler-predictor-00001-deployment-lfxvj:/code/chaiverse_profiler_1725852635 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v1-c4-v1-profiler-predictor-00001-deployment-lfxvj --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725852635 && 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_1725852635/summary.json'
kubectl exec -it cycy233-l3-p-v1-c4-v1-profiler-predictor-00001-deployment-lfxvj --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725852635/summary.json'
Pipeline stage MKMLProfilerRunner completed in 839.71s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-l3-p-v1-c4-v1-profiler is running
Tearing down inference service cycy233-l3-p-v1-c4-v1-profiler
Service cycy233-l3-p-v1-c4-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.72s
Shutdown handler de-registered
cycy233-l3-p-v1-c4_v1 status is now inactive due to auto deactivation removed underperforming models