submission_id: cycy233-l3-e-v0-c4_v5
developer_uid: shiroe40
best_of: 8
celo_rating: 1179.75
display_name: auto
family_friendly_score: 0.0
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': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/L3-e-v0-c4
latencies: [{'batch_size': 1, 'throughput': 0.8663907436250502, 'latency_mean': 1.1541121566295625, 'latency_p50': 1.1599769592285156, 'latency_p90': 1.2788099288940429}, {'batch_size': 4, 'throughput': 1.8629856282786228, 'latency_mean': 2.141804404258728, 'latency_p50': 2.1291595697402954, 'latency_p90': 2.368330383300781}, {'batch_size': 5, 'throughput': 2.0091297310518987, 'latency_mean': 2.469928251504898, 'latency_p50': 2.446678638458252, 'latency_p90': 2.8176519155502318}, {'batch_size': 8, 'throughput': 2.217021256835885, 'latency_mean': 3.5917831575870514, 'latency_p50': 3.5784378051757812, 'latency_p90': 4.0082594871521}, {'batch_size': 10, 'throughput': 2.2612015994324137, 'latency_mean': 4.389200258255005, 'latency_p50': 4.386540055274963, 'latency_p90': 4.966599082946777}, {'batch_size': 12, 'throughput': 2.3201553497495326, 'latency_mean': 5.129438992738724, 'latency_p50': 5.158488154411316, 'latency_p90': 5.854466533660888}, {'batch_size': 15, 'throughput': 2.30429754185752, 'latency_mean': 6.414686115980149, 'latency_p50': 6.410224080085754, 'latency_p90': 7.142131376266479}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-e-v0-c4
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-e-v0-c4
model_size: 8B
num_battles: 10625
num_wins: 4356
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.24
timestamp: 2024-09-13T09:40:28+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.4099764705882353
Resubmit model
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Starting job with name cycy233-l3-e-v0-c4-v5-mkmlizer
Waiting for job on cycy233-l3-e-v0-c4-v5-mkmlizer to finish
cycy233-l3-e-v0-c4-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-e-v0-c4-v5-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║       /___/                                                         ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║                                                                     ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║                                                                     ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║                                                                     ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ║                                                                     ║
cycy233-l3-e-v0-c4-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-e-v0-c4-v5-mkmlizer: Downloaded to shared memory in 34.626s
cycy233-l3-e-v0-c4-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpz53bhipm, device:0
cycy233-l3-e-v0-c4-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-e-v0-c4-v5-mkmlizer: quantized model in 25.809s
cycy233-l3-e-v0-c4-v5-mkmlizer: Processed model cycy233/L3-e-v0-c4 in 60.435s
cycy233-l3-e-v0-c4-v5-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-e-v0-c4-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-e-v0-c4-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-e-v0-c4-v5
cycy233-l3-e-v0-c4-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-e-v0-c4-v5/config.json
cycy233-l3-e-v0-c4-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-e-v0-c4-v5/special_tokens_map.json
cycy233-l3-e-v0-c4-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-e-v0-c4-v5/tokenizer_config.json
cycy233-l3-e-v0-c4-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-e-v0-c4-v5/tokenizer.json
cycy233-l3-e-v0-c4-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-e-v0-c4-v5/flywheel_model.0.safetensors
cycy233-l3-e-v0-c4-v5-mkmlizer: 
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Job cycy233-l3-e-v0-c4-v5-mkmlizer completed after 84.9s with status: succeeded
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Failed to get response for submission blend_fedek_2024-08-24: ('http://mistralai-mixtral-8x7b-3473-v131-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
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Inference service cycy233-l3-e-v0-c4-v5 ready after 180.74123620986938s
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Received healthy response to inference request in 3.4006664752960205s
Received healthy response to inference request in 2.124845027923584s
Received healthy response to inference request in 2.9953441619873047s
Received healthy response to inference request in 1.963094711303711s
Received healthy response to inference request in 1.433678388595581s
5 requests
0 failed requests
5th percentile: 1.539561653137207
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mean time: 2.38352575302124
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-e-v0-c4-v5-profiler-predictor-00001-deployment-w6kwm:/code/chaiverse_profiler_1726220948 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-e-v0-c4-v5-profiler-predictor-00001-deployment-w6kwm --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726220948 && python profiles.py profile --best_of_n 8 --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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726220948/summary.json'
kubectl exec -it cycy233-l3-e-v0-c4-v5-profiler-predictor-00001-deployment-w6kwm --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726220948/summary.json'
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Shutdown handler not registered because Python interpreter is not running in the main thread
admin requested tearing down of cycy233-l3-p-v2-c3_v2
Pipeline stage MKMLModelDeleter completed in 6.68s
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Pipeline stage MKMLDeleter completed in 6.83s
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cycy233-l3-e-v0-c4_v5 status is now torndown due to DeploymentManager action
Running pipeline stage MKMLDeleter
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