submission_id: cycy233-l3-p-v4-c2_v2
developer_uid: shiroe40
alignment_samples: 11987
alignment_score: 0.4122617407065727
best_of: 16
celo_rating: 1248.58
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-c2
latencies: [{'batch_size': 1, 'throughput': 0.9093250471627231, 'latency_mean': 1.0996559822559357, 'latency_p50': 1.0971759557724, 'latency_p90': 1.223753809928894}, {'batch_size': 4, 'throughput': 1.7974931639034113, 'latency_mean': 2.2158111453056337, 'latency_p50': 2.2062342166900635, 'latency_p90': 2.481570506095886}, {'batch_size': 5, 'throughput': 1.9033668259411474, 'latency_mean': 2.6161681532859804, 'latency_p50': 2.6071763038635254, 'latency_p90': 2.9250736951828005}, {'batch_size': 8, 'throughput': 2.0252790441151713, 'latency_mean': 3.9243143260478974, 'latency_p50': 3.9407827854156494, 'latency_p90': 4.37947690486908}, {'batch_size': 10, 'throughput': 2.0552542748628286, 'latency_mean': 4.815507111549377, 'latency_p50': 4.792764902114868, 'latency_p90': 5.6048270702362055}, {'batch_size': 12, 'throughput': 2.048324246327655, 'latency_mean': 5.787768824100494, 'latency_p50': 5.806396842002869, 'latency_p90': 6.504469561576843}, {'batch_size': 15, 'throughput': 2.0700300982227433, 'latency_mean': 7.108118033409118, 'latency_p50': 7.170152187347412, 'latency_p90': 7.936805701255798}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v4-c2
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v4-c2
model_size: 8B
num_battles: 11987
num_wins: 6058
propriety_score: 0.7287958115183246
propriety_total_count: 955.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 2.02
timestamp: 2024-09-13T02:31:15+00:00
us_pacific_date: 2024-09-12
win_ratio: 0.5053808292316676
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-c2-v2-mkmlizer
Waiting for job on cycy233-l3-p-v4-c2-v2-mkmlizer to finish
cycy233-l3-p-v4-c2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v4-c2-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v4-c2-v2-mkmlizer: Downloaded to shared memory in 32.978s
cycy233-l3-p-v4-c2-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqjgizy0d, device:0
cycy233-l3-p-v4-c2-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v4-c2-v2-mkmlizer: quantized model in 25.573s
cycy233-l3-p-v4-c2-v2-mkmlizer: Processed model cycy233/L3-p-v4-c2 in 58.552s
cycy233-l3-p-v4-c2-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v4-c2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v4-c2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v2
cycy233-l3-p-v4-c2-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v2/config.json
cycy233-l3-p-v4-c2-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v2/special_tokens_map.json
cycy233-l3-p-v4-c2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v2/tokenizer_config.json
cycy233-l3-p-v4-c2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v2/tokenizer.json
cycy233-l3-p-v4-c2-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v2/flywheel_model.0.safetensors
cycy233-l3-p-v4-c2-v2-mkmlizer: 
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Job cycy233-l3-p-v4-c2-v2-mkmlizer completed after 83.5s with status: succeeded
Stopping job with name cycy233-l3-p-v4-c2-v2-mkmlizer
Pipeline stage MKMLizer completed in 84.64s
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Creating inference service cycy233-l3-p-v4-c2-v2
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Inference service cycy233-l3-p-v4-c2-v2 ready after 181.21188712120056s
Pipeline stage MKMLDeployer completed in 181.57s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.473802328109741s
Received healthy response to inference request in 2.245502233505249s
Received healthy response to inference request in 1.8452515602111816s
Received healthy response to inference request in 1.8580846786499023s
Received healthy response to inference request in 1.6184303760528564s
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mean time: 2.008214235305786
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Inference service cycy233-l3-p-v4-c2-v2-profiler ready after 180.50162649154663s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v4-c2-v2-profiler-predictor-00001-deployment-ztwvn:/code/chaiverse_profiler_1726195185 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v4-c2-v2-profiler-predictor-00001-deployment-ztwvn --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726195185 && 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_1726195185/summary.json'
kubectl exec -it cycy233-l3-p-v4-c2-v2-profiler-predictor-00001-deployment-ztwvn --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726195185/summary.json'
Pipeline stage MKMLProfilerRunner completed in 834.77s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-l3-p-v4-c2-v2-profiler is running
Tearing down inference service cycy233-l3-p-v4-c2-v2-profiler
Service cycy233-l3-p-v4-c2-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.93s
Shutdown handler de-registered
cycy233-l3-p-v4-c2_v2 status is now inactive due to auto deactivation removed underperforming models