developer_uid: shiroe40
submission_id: cycy233-l3-p-v4-c4_v1
model_name: auto
model_group: cycy233/L3-p-v4-c4
status: torndown
timestamp: 2024-09-13T02:20:36+00:00
num_battles: 13314
num_wins: 6653
celo_rating: 1244.96
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-p-v4-c4
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.9005677663929914, 'latency_mean': 1.1103504753112794, 'latency_p50': 1.115014672279358, 'latency_p90': 1.2404215812683106}, {'batch_size': 4, 'throughput': 1.8112435356080077, 'latency_mean': 2.20149272441864, 'latency_p50': 2.198276996612549, 'latency_p90': 2.465997743606567}, {'batch_size': 5, 'throughput': 1.910174719497693, 'latency_mean': 2.6029925715923308, 'latency_p50': 2.582041025161743, 'latency_p90': 2.938982105255127}, {'batch_size': 8, 'throughput': 2.010207269027738, 'latency_mean': 3.9513593912124634, 'latency_p50': 3.975353240966797, 'latency_p90': 4.385528564453125}, {'batch_size': 10, 'throughput': 2.0147985304988247, 'latency_mean': 4.916579023599625, 'latency_p50': 4.924864888191223, 'latency_p90': 5.580711126327515}, {'batch_size': 12, 'throughput': 2.0263979742397584, 'latency_mean': 5.8428849709033965, 'latency_p50': 5.873106241226196, 'latency_p90': 6.847104907035828}, {'batch_size': 15, 'throughput': 2.0272115395713266, 'latency_mean': 7.246592245101929, 'latency_p50': 7.37213397026062, 'latency_p90': 8.149164938926697}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: auto
is_internal_developer: False
language_model: cycy233/L3-p-v4-c4
model_size: 8B
ranking_group: single
throughput_3p7s: 2.01
us_pacific_date: 2024-09-12
win_ratio: 0.49969956436833407
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}
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}
Resubmit model
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Starting job with name cycy233-l3-p-v4-c4-v1-mkmlizer
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cycy233-l3-p-v4-c4-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v4-c4-v1-mkmlizer: Downloaded to shared memory in 33.063s
cycy233-l3-p-v4-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqzyjp2u9, device:0
cycy233-l3-p-v4-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v4-c4-v1-mkmlizer: quantized model in 26.126s
cycy233-l3-p-v4-c4-v1-mkmlizer: Processed model cycy233/L3-p-v4-c4 in 59.190s
cycy233-l3-p-v4-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v4-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v4-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v4-c4-v1
cycy233-l3-p-v4-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c4-v1/config.json
cycy233-l3-p-v4-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c4-v1/special_tokens_map.json
cycy233-l3-p-v4-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c4-v1/tokenizer_config.json
cycy233-l3-p-v4-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c4-v1/tokenizer.json
Job cycy233-l3-p-v4-c4-v1-mkmlizer completed after 84.44s with status: succeeded
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Received healthy response to inference request in 2.343867778778076s
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Received healthy response to inference request in 1.6884346008300781s
Received healthy response to inference request in 1.4332807064056396s
Received healthy response to inference request in 2.077493906021118s
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5th percentile: 1.4843114852905273
10th percentile: 1.535342264175415
20th percentile: 1.6374038219451905
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40th percentile: 1.9065730094909668
50th percentile: 2.0519986152648926
60th percentile: 2.062196731567383
70th percentile: 2.072394847869873
80th percentile: 2.1307686805725097
90th percentile: 2.237318229675293
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mean time: 1.919015121459961
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v4-c4-v1-profiler-predictor-00001-deployment-j27tc:/code/chaiverse_profiler_1726194537 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v4-c4-v1-profiler-predictor-00001-deployment-j27tc --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726194537 && 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_1726194537/summary.json'
kubectl exec -it cycy233-l3-p-v4-c4-v1-profiler-predictor-00001-deployment-j27tc --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726194537/summary.json'
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