cycy233-l3-p-v3-c2

submission_id: cycy233-l3-p-v3-c2_v1

developer_uid: shiroe40

alignment_samples: 11091

alignment_score: 0.3271807994418184

best_of: 16

celo_rating: 1248.09

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-v3-c2

latencies: [{'batch_size': 1, 'throughput': 0.9166097058735173, 'latency_mean': 1.0909196186065673, 'latency_p50': 1.0835354328155518, 'latency_p90': 1.220496654510498}, {'batch_size': 4, 'throughput': 1.803749086945087, 'latency_mean': 2.202493759393692, 'latency_p50': 2.1991108655929565, 'latency_p90': 2.4834691524505614}, {'batch_size': 5, 'throughput': 1.872833456969039, 'latency_mean': 2.661176736354828, 'latency_p50': 2.6759942770004272, 'latency_p90': 2.948690152168274}, {'batch_size': 8, 'throughput': 1.989615401514505, 'latency_mean': 3.9830085504055024, 'latency_p50': 4.0004249811172485, 'latency_p90': 4.463398575782776}, {'batch_size': 10, 'throughput': 2.030576857369683, 'latency_mean': 4.884818224906922, 'latency_p50': 4.8578221797943115, 'latency_p90': 5.661579728126526}, {'batch_size': 12, 'throughput': 2.033097405941681, 'latency_mean': 5.8173874306678774, 'latency_p50': 5.879382014274597, 'latency_p90': 6.809430265426635}, {'batch_size': 15, 'throughput': 2.037567059710806, 'latency_mean': 7.211131159067154, 'latency_p50': 7.293778777122498, 'latency_p90': 8.026742887496948}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: cycy233/L3-p-v3-c2

model_name: auto

model_num_parameters: 8030261248.0

model_repo: cycy233/L3-p-v3-c2

model_size: 8B

num_battles: 11091

num_wins: 5617

propriety_score: 0.7016216216216217

propriety_total_count: 925.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.99

timestamp: 2024-09-12T03:13:27+00:00

us_pacific_date: 2024-09-11

win_ratio: 0.5064466684699306

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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-v3-c2-v1-mkmlizer
Waiting for job on cycy233-l3-p-v3-c2-v1-mkmlizer to finish
cycy233-l3-p-v3-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v3-c2-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v3-c2-v1-mkmlizer: Downloaded to shared memory in 34.442s
cycy233-l3-p-v3-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpykyv89ta, device:0
cycy233-l3-p-v3-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v3-c2-v1-mkmlizer: quantized model in 28.290s
cycy233-l3-p-v3-c2-v1-mkmlizer: Processed model cycy233/L3-p-v3-c2 in 62.732s
cycy233-l3-p-v3-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v3-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v3-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v3-c2-v1
cycy233-l3-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c2-v1/config.json
cycy233-l3-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c2-v1/special_tokens_map.json
cycy233-l3-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c2-v1/tokenizer_config.json
cycy233-l3-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c2-v1/tokenizer.json
cycy233-l3-p-v3-c2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v3-c2-v1/flywheel_model.0.safetensors
cycy233-l3-p-v3-c2-v1-mkmlizer: 
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Job cycy233-l3-p-v3-c2-v1-mkmlizer completed after 95.54s with status: succeeded
Stopping job with name cycy233-l3-p-v3-c2-v1-mkmlizer
Pipeline stage MKMLizer completed in 96.46s
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Pipeline stage MKMLTemplater completed in 0.09s
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Running pipeline stage MKMLDeployer
Creating inference service cycy233-l3-p-v3-c2-v1
Waiting for inference service cycy233-l3-p-v3-c2-v1 to be ready
Failed to get response for submission zonemercy-virgo-edit-v1-1e5_v12: HTTPConnectionPool(host='zonemercy-virgo-edit-v1-1e5-v12-predictor.tenant-chaiml-guanaco.k2.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x7f54c070a810>, 'Connection to zonemercy-virgo-edit-v1-1e5-v12-predictor.tenant-chaiml-guanaco.k2.chaiverse.com timed out. (connect timeout=None)'))
Inference service cycy233-l3-p-v3-c2-v1 ready after 170.5545072555542s
Pipeline stage MKMLDeployer completed in 170.92s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.280933380126953s
Received healthy response to inference request in 4.086721420288086s
Received healthy response to inference request in 2.004260778427124s
Received healthy response to inference request in 1.6232695579528809s
Received healthy response to inference request in 5.092244386672974s
5 requests
0 failed requests
5th percentile: 1.6994678020477294
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90th percentile: 4.690035200119018
95th percentile: 4.891139793395996
99th percentile: 5.052023468017578
mean time: 3.2174859046936035
Pipeline stage StressChecker completed in 16.99s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 9.11s
Shutdown handler de-registered
cycy233-l3-p-v3-c2_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Creating inference service cycy233-l3-p-v3-c2-v1-profiler
Waiting for inference service cycy233-l3-p-v3-c2-v1-profiler to be ready
Inference service cycy233-l3-p-v3-c2-v1-profiler ready after 160.38013911247253s
Pipeline stage MKMLProfilerDeployer completed in 160.80s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v3-c2-v1-profiler-predictor-00001-deployment-phcvd:/code/chaiverse_profiler_1726111310 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v3-c2-v1-profiler-predictor-00001-deployment-phcvd --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726111310 && 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_1726111310/summary.json'
kubectl exec -it cycy233-l3-p-v3-c2-v1-profiler-predictor-00001-deployment-phcvd --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726111310/summary.json'
Pipeline stage MKMLProfilerRunner completed in 837.73s
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Running pipeline stage MKMLProfilerDeleter
Checking if service cycy233-l3-p-v3-c2-v1-profiler is running
Tearing down inference service cycy233-l3-p-v3-c2-v1-profiler
Service cycy233-l3-p-v3-c2-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.53s
Shutdown handler de-registered
cycy233-l3-p-v3-c2_v1 status is now inactive due to auto deactivation removed underperforming models