submission_id: cycy233-l3-p-v4-c1_v2
developer_uid: shiroe40
alignment_samples: 12121
alignment_score: 0.43856311432583966
best_of: 16
celo_rating: 1247.08
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-c1
latencies: [{'batch_size': 1, 'throughput': 0.9009500860048005, 'latency_mean': 1.1098773574829102, 'latency_p50': 1.1069269180297852, 'latency_p90': 1.2410840034484862}, {'batch_size': 4, 'throughput': 1.7662162769625598, 'latency_mean': 2.2603618967533112, 'latency_p50': 2.2462953329086304, 'latency_p90': 2.5273807525634764}, {'batch_size': 5, 'throughput': 1.8793104637572873, 'latency_mean': 2.648704679012299, 'latency_p50': 2.6193888187408447, 'latency_p90': 2.9635923147201537}, {'batch_size': 8, 'throughput': 1.9860749962189654, 'latency_mean': 3.998525743484497, 'latency_p50': 3.988560199737549, 'latency_p90': 4.504106616973877}, {'batch_size': 10, 'throughput': 2.0235496120793046, 'latency_mean': 4.898951317071915, 'latency_p50': 4.8888258934021, 'latency_p90': 5.6428800344467165}, {'batch_size': 12, 'throughput': 2.0146477717417923, 'latency_mean': 5.87872132062912, 'latency_p50': 5.890021085739136, 'latency_p90': 6.684669446945191}, {'batch_size': 15, 'throughput': 2.0052045581354565, 'latency_mean': 7.336774439811706, 'latency_p50': 7.4243247509002686, 'latency_p90': 8.16950557231903}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v4-c1
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v4-c1
model_size: 8B
num_battles: 12120
num_wins: 6095
propriety_score: 0.7266729500471254
propriety_total_count: 1061.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.98
timestamp: 2024-09-13T02:31:13+00:00
us_pacific_date: 2024-09-12
win_ratio: 0.5028877887788779
Download Preference Data
Resubmit model
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-c1-v2-mkmlizer
Waiting for job on cycy233-l3-p-v4-c1-v2-mkmlizer to finish
cycy233-l3-p-v4-c1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v4-c1-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v4-c1-v2-mkmlizer: Downloaded to shared memory in 27.863s
cycy233-l3-p-v4-c1-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9gniaz9j, device:0
cycy233-l3-p-v4-c1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v4-c1-v2-mkmlizer: quantized model in 26.082s
cycy233-l3-p-v4-c1-v2-mkmlizer: Processed model cycy233/L3-p-v4-c1 in 53.945s
cycy233-l3-p-v4-c1-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v4-c1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v4-c1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v4-c1-v2
cycy233-l3-p-v4-c1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c1-v2/special_tokens_map.json
cycy233-l3-p-v4-c1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c1-v2/tokenizer_config.json
cycy233-l3-p-v4-c1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c1-v2/config.json
cycy233-l3-p-v4-c1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c1-v2/tokenizer.json
cycy233-l3-p-v4-c1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v4-c1-v2/flywheel_model.0.safetensors
cycy233-l3-p-v4-c1-v2-mkmlizer: 
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Job cycy233-l3-p-v4-c1-v2-mkmlizer completed after 75.82s with status: succeeded
Stopping job with name cycy233-l3-p-v4-c1-v2-mkmlizer
Pipeline stage MKMLizer completed in 76.82s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.79s
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Running pipeline stage MKMLDeployer
Creating inference service cycy233-l3-p-v4-c1-v2
Waiting for inference service cycy233-l3-p-v4-c1-v2 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service cycy233-l3-p-v4-c1-v2 ready after 170.9315276145935s
Pipeline stage MKMLDeployer completed in 172.05s
run pipeline stage %s
Running pipeline stage StressChecker
Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 2.527426242828369s
Received healthy response to inference request in 1.6145355701446533s
Received healthy response to inference request in 2.806619167327881s
Received healthy response to inference request in 1.954397201538086s
Received healthy response to inference request in 1.9724977016448975s
5 requests
0 failed requests
5th percentile: 1.6825078964233398
10th percentile: 1.7504802227020264
20th percentile: 1.8864248752593995
30th percentile: 1.9580173015594482
40th percentile: 1.965257501602173
50th percentile: 1.9724977016448975
60th percentile: 2.194469118118286
70th percentile: 2.4164405345916746
80th percentile: 2.5832648277282715
90th percentile: 2.694941997528076
95th percentile: 2.7507805824279785
99th percentile: 2.7954514503479
mean time: 2.1750951766967774
Pipeline stage StressChecker completed in 12.17s
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starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 6.24s
Shutdown handler de-registered
cycy233-l3-p-v4-c1_v2 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 0.12s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service cycy233-l3-p-v4-c1-v2-profiler
Waiting for inference service cycy233-l3-p-v4-c1-v2-profiler to be ready
Inference service cycy233-l3-p-v4-c1-v2-profiler ready after 170.39824676513672s
Pipeline stage MKMLProfilerDeployer completed in 170.77s
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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-c1-v2-profiler-predictor-00001-deployment-htq4h:/code/chaiverse_profiler_1726195151 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v4-c1-v2-profiler-predictor-00001-deployment-htq4h --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726195151 && 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_1726195151/summary.json'
kubectl exec -it cycy233-l3-p-v4-c1-v2-profiler-predictor-00001-deployment-htq4h --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726195151/summary.json'
Pipeline stage MKMLProfilerRunner completed in 846.05s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-l3-p-v4-c1-v2-profiler is running
Tearing down inference service cycy233-l3-p-v4-c1-v2-profiler
Service cycy233-l3-p-v4-c1-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.83s
Shutdown handler de-registered
cycy233-l3-p-v4-c1_v2 status is now inactive due to auto deactivation removed underperforming models