submission_id: cycy233-l3-p-v1-c4_v2
developer_uid: shiroe40
best_of: 16
celo_rating: 1250.98
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-v1-c4
latencies: [{'batch_size': 1, 'throughput': 0.9110503389053852, 'latency_mean': 1.0975470125675202, 'latency_p50': 1.1002671718597412, 'latency_p90': 1.2204660415649413}, {'batch_size': 4, 'throughput': 1.7958511399630894, 'latency_mean': 2.2162285578250884, 'latency_p50': 2.2180733680725098, 'latency_p90': 2.4605712890625}, {'batch_size': 5, 'throughput': 1.8987303193002185, 'latency_mean': 2.625175231695175, 'latency_p50': 2.606053352355957, 'latency_p90': 2.9527754545211793}, {'batch_size': 8, 'throughput': 2.016188861575425, 'latency_mean': 3.9296079540252684, 'latency_p50': 3.9363356828689575, 'latency_p90': 4.43599214553833}, {'batch_size': 10, 'throughput': 2.0134077911558697, 'latency_mean': 4.9075234615802765, 'latency_p50': 4.861979007720947, 'latency_p90': 5.660461068153381}, {'batch_size': 12, 'throughput': 2.03715444537185, 'latency_mean': 5.804791620969772, 'latency_p50': 5.787518739700317, 'latency_p90': 6.691445279121399}, {'batch_size': 15, 'throughput': 2.0573551292986108, 'latency_mean': 7.130980515480042, 'latency_p50': 7.256528854370117, 'latency_p90': 7.924012160301208}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v1-c4
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v1-c4
model_size: 8B
num_battles: 11726
num_wins: 6226
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.02
timestamp: 2024-09-10T10:19:34+00:00
us_pacific_date: 2024-09-10
win_ratio: 0.5309568480300187
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name cycy233-l3-p-v1-c4-v2-mkmlizer
Waiting for job on cycy233-l3-p-v1-c4-v2-mkmlizer to finish
cycy233-l3-p-v1-c4-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v1-c4-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v1-c4-v2-mkmlizer: Downloaded to shared memory in 22.110s
cycy233-l3-p-v1-c4-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpv2o6sjkv, device:0
cycy233-l3-p-v1-c4-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v1-c4-v2-mkmlizer: quantized model in 26.134s
cycy233-l3-p-v1-c4-v2-mkmlizer: Processed model cycy233/L3-p-v1-c4 in 48.244s
cycy233-l3-p-v1-c4-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v1-c4-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v1-c4-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v2
cycy233-l3-p-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v2/config.json
cycy233-l3-p-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v2/special_tokens_map.json
cycy233-l3-p-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v2/tokenizer_config.json
cycy233-l3-p-v1-c4-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v2/tokenizer.json
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Job cycy233-l3-p-v1-c4-v2-mkmlizer completed after 73.94s with status: succeeded
Stopping job with name cycy233-l3-p-v1-c4-v2-mkmlizer
Pipeline stage MKMLizer completed in 74.72s
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Creating inference service cycy233-l3-p-v1-c4-v2
Waiting for inference service cycy233-l3-p-v1-c4-v2 to be ready
Failed to get response for submission function_sabet_2024-09-10: ('http://chaiml-llama-8b-pairwis-8189-v19-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\')]"}')
Inference service cycy233-l3-p-v1-c4-v2 ready after 161.38387274742126s
Pipeline stage MKMLDeployer completed in 162.05s
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Received healthy response to inference request in 2.349493980407715s
Received healthy response to inference request in 1.7418482303619385s
Received healthy response to inference request in 1.6786627769470215s
Received healthy response to inference request in 2.1545827388763428s
Received healthy response to inference request in 2.5241329669952393s
5 requests
0 failed requests
5th percentile: 1.6912998676300048
10th percentile: 1.7039369583129882
20th percentile: 1.7292111396789551
30th percentile: 1.8243951320648193
40th percentile: 1.9894889354705811
50th percentile: 2.1545827388763428
60th percentile: 2.232547235488892
70th percentile: 2.3105117321014403
80th percentile: 2.38442177772522
90th percentile: 2.4542773723602296
95th percentile: 2.489205169677734
99th percentile: 2.517147407531738
mean time: 2.089744138717651
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v1-c4-v2-profiler-predictor-00001-deployment-jzs2r:/code/chaiverse_profiler_1725964038 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v1-c4-v2-profiler-predictor-00001-deployment-jzs2r --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725964038 && 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_1725964038/summary.json'
kubectl exec -it cycy233-l3-p-v1-c4-v2-profiler-predictor-00001-deployment-jzs2r --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725964038/summary.json'
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