submission_id: cycy233-l3-p-v3-c3_v1
developer_uid: shiroe40
best_of: 16
celo_rating: 1249.03
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-v3-c3
latencies: [{'batch_size': 1, 'throughput': 0.904314380335219, 'latency_mean': 1.1057097434997558, 'latency_p50': 1.1029020547866821, 'latency_p90': 1.2457449436187744}, {'batch_size': 4, 'throughput': 1.7634630757564755, 'latency_mean': 2.2566311705112456, 'latency_p50': 2.26652991771698, 'latency_p90': 2.5347859382629396}, {'batch_size': 5, 'throughput': 1.872329038772999, 'latency_mean': 2.6568923592567444, 'latency_p50': 2.6870994567871094, 'latency_p90': 2.9997154235839845}, {'batch_size': 8, 'throughput': 1.9823710275344542, 'latency_mean': 4.000118588209152, 'latency_p50': 4.001702666282654, 'latency_p90': 4.556585025787354}, {'batch_size': 10, 'throughput': 1.981817307775268, 'latency_mean': 4.994505189657211, 'latency_p50': 4.965648293495178, 'latency_p90': 5.779207801818847}, {'batch_size': 12, 'throughput': 2.0077867758997114, 'latency_mean': 5.899681622982025, 'latency_p50': 5.937089204788208, 'latency_p90': 6.759657406806945}, {'batch_size': 15, 'throughput': 2.004721489088285, 'latency_mean': 7.343309516906738, 'latency_p50': 7.460484623908997, 'latency_p90': 8.201191020011901}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v3-c3
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v3-c3
model_size: 8B
num_battles: 9532
num_wins: 4839
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.98
timestamp: 2024-09-12T03:13:45+00:00
us_pacific_date: 2024-09-11
win_ratio: 0.5076584137641629
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name cycy233-l3-p-v3-c3-v1-mkmlizer
Waiting for job on cycy233-l3-p-v3-c3-v1-mkmlizer to finish
cycy233-l3-p-v3-c3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v3-c3-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v3-c3-v1-mkmlizer: Downloaded to shared memory in 38.600s
cycy233-l3-p-v3-c3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpa71rd6bl, device:0
cycy233-l3-p-v3-c3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v3-c3-v1-mkmlizer: quantized model in 26.246s
cycy233-l3-p-v3-c3-v1-mkmlizer: Processed model cycy233/L3-p-v3-c3 in 64.846s
cycy233-l3-p-v3-c3-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v3-c3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v3-c3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v3-c3-v1
cycy233-l3-p-v3-c3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c3-v1/special_tokens_map.json
cycy233-l3-p-v3-c3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c3-v1/config.json
cycy233-l3-p-v3-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c3-v1/tokenizer_config.json
cycy233-l3-p-v3-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c3-v1/tokenizer.json
cycy233-l3-p-v3-c3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v3-c3-v1/flywheel_model.0.safetensors
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Job cycy233-l3-p-v3-c3-v1-mkmlizer completed after 94.0s with status: succeeded
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Creating inference service cycy233-l3-p-v3-c3-v1
Waiting for inference service cycy233-l3-p-v3-c3-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 0x7fc2f87ce510>, '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-c3-v1 ready after 160.87208604812622s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.0546798706054688s
Received healthy response to inference request in 2.4291117191314697s
Failed to get response for submission blend_henub_2024-09-09: ('http://zonemercy-lexical-nemo-1518-v18-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:36566->127.0.0.1:8080: read: connection reset by peer\n')
Received healthy response to inference request in 1.6006574630737305s
Received healthy response to inference request in 4.65236759185791s
Received healthy response to inference request in 1.5344629287719727s
5 requests
0 failed requests
5th percentile: 1.5477018356323242
10th percentile: 1.5609407424926758
20th percentile: 1.587418556213379
30th percentile: 1.691461944580078
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50th percentile: 2.0546798706054688
60th percentile: 2.2044526100158692
70th percentile: 2.3542253494262693
80th percentile: 2.873762893676758
90th percentile: 3.7630652427673343
95th percentile: 4.207716417312621
99th percentile: 4.563437356948852
mean time: 2.4542559146881104
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v3-c3-v1-profiler-predictor-00001-deployment-2zlkx:/code/chaiverse_profiler_1726111319 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v3-c3-v1-profiler-predictor-00001-deployment-2zlkx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726111319 && 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_1726111319/summary.json'
kubectl exec -it cycy233-l3-p-v3-c3-v1-profiler-predictor-00001-deployment-2zlkx --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726111319/summary.json'
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Pipeline stage MKMLDeleter completed in 6.14s
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