cycy233-l3-p-v3-c4

submission_id: cycy233-l3-p-v3-c4_v1

developer_uid: shiroe40

best_of: 16

celo_rating: 1257.97

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-c4

latencies: [{'batch_size': 1, 'throughput': 0.9055594361576025, 'latency_mean': 1.1041942572593688, 'latency_p50': 1.100262999534607, 'latency_p90': 1.234205150604248}, {'batch_size': 4, 'throughput': 1.7875604086845989, 'latency_mean': 2.230531493425369, 'latency_p50': 2.2323111295700073, 'latency_p90': 2.483580756187439}, {'batch_size': 5, 'throughput': 1.8739893299189225, 'latency_mean': 2.6481725859642027, 'latency_p50': 2.6516530513763428, 'latency_p90': 2.960371804237366}, {'batch_size': 8, 'throughput': 1.9648674373229529, 'latency_mean': 4.036691771745682, 'latency_p50': 4.066837430000305, 'latency_p90': 4.454218173027039}, {'batch_size': 10, 'throughput': 2.0286040099102456, 'latency_mean': 4.882907407283783, 'latency_p50': 4.84325909614563, 'latency_p90': 5.618480443954468}, {'batch_size': 12, 'throughput': 2.0290776717062466, 'latency_mean': 5.84052807688713, 'latency_p50': 5.9381022453308105, 'latency_p90': 6.663694500923157}, {'batch_size': 15, 'throughput': 1.998237466954411, 'latency_mean': 7.362335584163666, 'latency_p50': 7.475699424743652, 'latency_p90': 8.21426727771759}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: cycy233/L3-p-v3-c4

model_name: auto

model_num_parameters: 8030261248.0

model_repo: cycy233/L3-p-v3-c4

model_size: 8B

num_battles: 9535

num_wins: 4973

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 1.97

timestamp: 2024-09-12T03:13:57+00:00

us_pacific_date: 2024-09-11

win_ratio: 0.5215521761929732

Resubmit model

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Running pipeline stage MKMLizer
Starting job with name cycy233-l3-p-v3-c4-v1-mkmlizer
Waiting for job on cycy233-l3-p-v3-c4-v1-mkmlizer to finish
cycy233-l3-p-v3-c4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v3-c4-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v3-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v3-c4-v1-mkmlizer: Downloaded to shared memory in 37.525s
cycy233-l3-p-v3-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpaz4f5pnn, device:0
cycy233-l3-p-v3-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v3-c4-v1-mkmlizer: quantized model in 26.029s
cycy233-l3-p-v3-c4-v1-mkmlizer: Processed model cycy233/L3-p-v3-c4 in 63.554s
cycy233-l3-p-v3-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v3-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v3-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v3-c4-v1
cycy233-l3-p-v3-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c4-v1/config.json
cycy233-l3-p-v3-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c4-v1/special_tokens_map.json
cycy233-l3-p-v3-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c4-v1/tokenizer_config.json
cycy233-l3-p-v3-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v3-c4-v1/tokenizer.json
cycy233-l3-p-v3-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v3-c4-v1/flywheel_model.0.safetensors
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Job cycy233-l3-p-v3-c4-v1-mkmlizer completed after 83.44s with status: succeeded
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Failed to get response for submission chaiml-llama-8b-pairwis_8189_v19: 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 0x7f57ac2ee570>, '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-c4-v1 ready after 170.4805941581726s
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Received healthy response to inference request in 5.891180992126465s
Received healthy response to inference request in 1.7357935905456543s
Received healthy response to inference request in 1.5438296794891357s
Received healthy response to inference request in 8.357203483581543s
Received healthy response to inference request in 1.5587024688720703s
5 requests
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30th percentile: 1.594120693206787
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95th percentile: 7.863998985290527
99th percentile: 8.25856258392334
mean time: 3.8173420429229736
%s, retrying in %s seconds...
Received healthy response to inference request in 1.5718414783477783s
Received healthy response to inference request in 5.137751579284668s
Received healthy response to inference request in 1.680333137512207s
Received healthy response to inference request in 2.3552939891815186s
Received healthy response to inference request in 1.4602172374725342s
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5th percentile: 1.482542085647583
10th percentile: 1.504866933822632
20th percentile: 1.5495166301727294
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mean time: 2.441087484359741
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v3-c4-v1-profiler-predictor-00001-deployment-zmq4g:/code/chaiverse_profiler_1726111364 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v3-c4-v1-profiler-predictor-00001-deployment-zmq4g --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726111364 && 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_1726111364/summary.json'
kubectl exec -it cycy233-l3-p-v3-c4-v1-profiler-predictor-00001-deployment-zmq4g --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726111364/summary.json'
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