submission_id: cycy233-l3-p-v5-c3_v3
developer_uid: shiroe40
best_of: 16
celo_rating: 1248.2
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': 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-v5-c3
latencies: [{'batch_size': 1, 'throughput': 0.9129794856515353, 'latency_mean': 1.0952570140361786, 'latency_p50': 1.0992326736450195, 'latency_p90': 1.2311362504959107}, {'batch_size': 4, 'throughput': 1.8021214179468612, 'latency_mean': 2.209778550863266, 'latency_p50': 2.2078542709350586, 'latency_p90': 2.5028607130050657}, {'batch_size': 5, 'throughput': 1.9039369122619472, 'latency_mean': 2.6148872101306915, 'latency_p50': 2.6438101530075073, 'latency_p90': 2.9168606996536255}, {'batch_size': 8, 'throughput': 2.0178919583004804, 'latency_mean': 3.9314133846759796, 'latency_p50': 3.9438639879226685, 'latency_p90': 4.4095299243927}, {'batch_size': 10, 'throughput': 2.0519721692507575, 'latency_mean': 4.821046723127365, 'latency_p50': 4.873395919799805, 'latency_p90': 5.475319576263428}, {'batch_size': 12, 'throughput': 2.057281655220838, 'latency_mean': 5.758089973926544, 'latency_p50': 5.777101993560791, 'latency_p90': 6.7012334823608395}, {'batch_size': 15, 'throughput': 2.0544535421577916, 'latency_mean': 7.163832091093063, 'latency_p50': 7.237919926643372, 'latency_p90': 7.948050785064697}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v5-c3
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v5-c3
model_size: 8B
num_battles: 12632
num_wins: 6245
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.02
timestamp: 2024-09-14T10:28:10+00:00
us_pacific_date: 2024-09-14
win_ratio: 0.4943793540215326
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-v5-c3-v3-mkmlizer
Waiting for job on cycy233-l3-p-v5-c3-v3-mkmlizer to finish
Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
cycy233-l3-p-v5-c3-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v5-c3-v3-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║                                                                     ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║                                                                     ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║                                                                     ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ║                                                                     ║
cycy233-l3-p-v5-c3-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v5-c3-v3-mkmlizer: Downloaded to shared memory in 31.715s
cycy233-l3-p-v5-c3-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7vcd34xk, device:0
cycy233-l3-p-v5-c3-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v5-c3-v3-mkmlizer: quantized model in 25.303s
cycy233-l3-p-v5-c3-v3-mkmlizer: Processed model cycy233/L3-p-v5-c3 in 57.018s
cycy233-l3-p-v5-c3-v3-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v5-c3-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v5-c3-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v5-c3-v3
cycy233-l3-p-v5-c3-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v5-c3-v3/config.json
cycy233-l3-p-v5-c3-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v5-c3-v3/special_tokens_map.json
cycy233-l3-p-v5-c3-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v5-c3-v3/tokenizer_config.json
cycy233-l3-p-v5-c3-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v5-c3-v3/tokenizer.json
cycy233-l3-p-v5-c3-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v5-c3-v3/flywheel_model.0.safetensors
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Job cycy233-l3-p-v5-c3-v3-mkmlizer completed after 83.34s with status: succeeded
Stopping job with name cycy233-l3-p-v5-c3-v3-mkmlizer
Pipeline stage MKMLizer completed in 84.19s
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Creating inference service cycy233-l3-p-v5-c3-v3
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Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
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Inference service cycy233-l3-p-v5-c3-v3 ready after 170.77230048179626s
Pipeline stage MKMLDeployer completed in 171.14s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.8151326179504395s
Received healthy response to inference request in 2.2663278579711914s
Received healthy response to inference request in 2.2457239627838135s
Received healthy response to inference request in 2.4386770725250244s
Received healthy response to inference request in 1.679473638534546s
5 requests
0 failed requests
5th percentile: 1.7066054344177246
10th percentile: 1.7337372303009033
20th percentile: 1.7880008220672607
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40th percentile: 2.073487424850464
50th percentile: 2.2457239627838135
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70th percentile: 2.2622070789337156
80th percentile: 2.300797700881958
90th percentile: 2.369737386703491
95th percentile: 2.404207229614258
99th percentile: 2.431783103942871
mean time: 2.0890670299530028
Pipeline stage StressChecker completed in 11.64s
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Inference service cycy233-l3-p-v5-c3-v3-profiler ready after 170.40439891815186s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v5-c3-v3-profiler-predictor-00001-deployment-5p8qc:/code/chaiverse_profiler_1726310174 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v5-c3-v3-profiler-predictor-00001-deployment-5p8qc --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726310174 && 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_1726310174/summary.json'
kubectl exec -it cycy233-l3-p-v5-c3-v3-profiler-predictor-00001-deployment-5p8qc --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726310174/summary.json'
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