submission_id: akjindal53244-llama-3-1-_2851_v1
developer_uid: Meliodia
best_of: 8
celo_rating: 1236.14
display_name: akjindal53244-llama-3-1-_2851_v1
family_friendly_score: 0.0
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: True
language_model: akjindal53244/Llama-3.1-Storm-8B
latencies: [{'batch_size': 1, 'throughput': 0.8906066834630755, 'latency_mean': 1.1227689492702484, 'latency_p50': 1.1188167333602905, 'latency_p90': 1.239763855934143}, {'batch_size': 4, 'throughput': 1.8810379593708118, 'latency_mean': 2.117665015459061, 'latency_p50': 2.130915880203247, 'latency_p90': 2.3805584192276}, {'batch_size': 5, 'throughput': 2.025221024914649, 'latency_mean': 2.4572232925891875, 'latency_p50': 2.4549038410186768, 'latency_p90': 2.7029486179351805}, {'batch_size': 8, 'throughput': 2.2089321218473352, 'latency_mean': 3.5873111057281495, 'latency_p50': 3.574345827102661, 'latency_p90': 4.028524804115295}, {'batch_size': 10, 'throughput': 2.2281548196224916, 'latency_mean': 4.459730584621429, 'latency_p50': 4.500742077827454, 'latency_p90': 5.0257833242416385}, {'batch_size': 12, 'throughput': 2.2422978275106864, 'latency_mean': 5.3068364095687866, 'latency_p50': 5.290629744529724, 'latency_p90': 6.070557737350464}, {'batch_size': 15, 'throughput': 2.206913429779422, 'latency_mean': 6.72016290307045, 'latency_p50': 6.736841440200806, 'latency_p90': 7.494834089279174}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: akjindal53244/Llama-3.1-
model_name: akjindal53244-llama-3-1-_2851_v1
model_num_parameters: 8030261248.0
model_repo: akjindal53244/Llama-3.1-Storm-8B
model_size: 8B
num_battles: 11439
num_wins: 5511
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.23
timestamp: 2024-09-19T22:29:40+00:00
us_pacific_date: 2024-09-19
win_ratio: 0.48177288224495146
Download Preference Data
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name akjindal53244-llama-3-1-2851-v1-mkmlizer
Waiting for job on akjindal53244-llama-3-1-2851-v1-mkmlizer to finish
akjindal53244-llama-3-1-2851-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║     _____            __           __                                ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║       /___/                                                         ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║                                                                     ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║  https://mk1.ai                                                     ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║                                                                     ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║  belonging to:                                                      ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║                                                                     ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║  Chai Research Corp.                                                ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ║                                                                     ║
akjindal53244-llama-3-1-2851-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
akjindal53244-llama-3-1-2851-v1-mkmlizer: Downloaded to shared memory in 42.152s
akjindal53244-llama-3-1-2851-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9diruw2r, device:0
akjindal53244-llama-3-1-2851-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
akjindal53244-llama-3-1-2851-v1-mkmlizer: quantized model in 25.679s
akjindal53244-llama-3-1-2851-v1-mkmlizer: Processed model akjindal53244/Llama-3.1-Storm-8B in 67.831s
akjindal53244-llama-3-1-2851-v1-mkmlizer: creating bucket guanaco-mkml-models
akjindal53244-llama-3-1-2851-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
akjindal53244-llama-3-1-2851-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/akjindal53244-llama-3-1-2851-v1
akjindal53244-llama-3-1-2851-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/akjindal53244-llama-3-1-2851-v1/config.json
akjindal53244-llama-3-1-2851-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/akjindal53244-llama-3-1-2851-v1/special_tokens_map.json
akjindal53244-llama-3-1-2851-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/akjindal53244-llama-3-1-2851-v1/tokenizer_config.json
akjindal53244-llama-3-1-2851-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/akjindal53244-llama-3-1-2851-v1/tokenizer.json
akjindal53244-llama-3-1-2851-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/akjindal53244-llama-3-1-2851-v1/flywheel_model.0.safetensors
akjindal53244-llama-3-1-2851-v1-mkmlizer: 
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Job akjindal53244-llama-3-1-2851-v1-mkmlizer completed after 94.56s with status: succeeded
Stopping job with name akjindal53244-llama-3-1-2851-v1-mkmlizer
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Received healthy response to inference request in 1.421415090560913s
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Received healthy response to inference request in 1.483593463897705s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/akjindal53244-llama-68c66e1dc2c81ca1e0ca3b107519e762-deplot8hdt:/code/chaiverse_profiler_1726785536 --namespace tenant-chaiml-guanaco
kubectl exec -it akjindal53244-llama-68c66e1dc2c81ca1e0ca3b107519e762-deplot8hdt --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726785536 && 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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726785536/summary.json'
kubectl exec -it akjindal53244-llama-68c66e1dc2c81ca1e0ca3b107519e762-deplot8hdt --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726785536/summary.json'
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