cycy233-nemo-p-v2-c4

submission_id: cycy233-nemo-p-v2-c4_v1

developer_uid: shiroe40

best_of: 8

celo_rating: 1242.61

display_name: auto

family_friendly_score: 0.0

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{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': ['\n', '</s>'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: cycy233/nemo-p-v2-c4

latencies: [{'batch_size': 1, 'throughput': 0.6963484401215456, 'latency_mean': 1.4360005056858063, 'latency_p50': 1.438572883605957, 'latency_p90': 1.5981045961380005}, {'batch_size': 3, 'throughput': 1.3387734047067654, 'latency_mean': 2.2328175950050353, 'latency_p50': 2.2119230031967163, 'latency_p90': 2.5063180208206175}, {'batch_size': 5, 'throughput': 1.5808286176872057, 'latency_mean': 3.1405912268161775, 'latency_p50': 3.136347770690918, 'latency_p90': 3.598155069351196}, {'batch_size': 6, 'throughput': 1.6208971536423114, 'latency_mean': 3.6818117117881775, 'latency_p50': 3.7038419246673584, 'latency_p90': 4.118337225914001}, {'batch_size': 8, 'throughput': 1.632216148283133, 'latency_mean': 4.878930468559265, 'latency_p50': 4.921693801879883, 'latency_p90': 5.611328291893005}, {'batch_size': 10, 'throughput': 1.5577498387247826, 'latency_mean': 6.3678972780704495, 'latency_p50': 6.404324173927307, 'latency_p90': 7.2225262165069575}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: cycy233/nemo-p-v2-c4

model_name: auto

model_num_parameters: 12772070400.0

model_repo: cycy233/nemo-p-v2-c4

model_size: 13B

num_battles: 10930

num_wins: 5327

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 1.63

timestamp: 2024-09-18T02:37:59+00:00

us_pacific_date: 2024-09-17

win_ratio: 0.48737419945105215

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Starting job with name cycy233-nemo-p-v2-c4-v1-mkmlizer
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cycy233-nemo-p-v2-c4-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║       /___/                                                         ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ║                                                                     ║
cycy233-nemo-p-v2-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-nemo-p-v2-c4-v1-mkmlizer: Downloaded to shared memory in 45.471s
cycy233-nemo-p-v2-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptmds2mzy, device:0
cycy233-nemo-p-v2-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cycy233-nemo-p-v2-c4-v1-mkmlizer: quantized model in 35.034s
cycy233-nemo-p-v2-c4-v1-mkmlizer: Processed model cycy233/nemo-p-v2-c4 in 80.506s
cycy233-nemo-p-v2-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-nemo-p-v2-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-nemo-p-v2-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/config.json
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/special_tokens_map.json
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/tokenizer_config.json
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/tokenizer.json
cycy233-nemo-p-v2-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-nemo-p-v2-c4-v1/flywheel_model.0.safetensors
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Job cycy233-nemo-p-v2-c4-v1-mkmlizer completed after 117.15s with status: succeeded
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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', '')
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', '')
Inference service cycy233-nemo-p-v2-c4-v1 ready after 190.87677192687988s
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Received healthy response to inference request in 1.7054202556610107s
Received healthy response to inference request in 1.8484582901000977s
5 requests
0 failed requests
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-nemo-p-v2-c4-v1-profiler-predictor-00001-deploymenmmddq:/code/chaiverse_profiler_1726627638 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-nemo-p-v2-c4-v1-profiler-predictor-00001-deploymenmmddq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726627638 && python profiles.py profile --best_of_n 8 --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_1726627638/summary.json'
kubectl exec -it cycy233-nemo-p-v2-c4-v1-profiler-predictor-00001-deploymenmmddq --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726627638/summary.json'
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