meta-llama-llama-3-1-8b

developer_uid: Jellywibble

submission_id: meta-llama-llama-3-1-8b_v2

model_name: asdasd

model_group: meta-llama/Llama-3.1-8B

status: inactive

timestamp: 2024-12-23T00:15:02+00:00

num_battles: 24351

num_wins: 10173

celo_rating: 1194.73

family_friendly_score: 0.5993999999999999

family_friendly_standard_error: 0.006929929869775018

submission_type: basic

model_repo: meta-llama/Llama-3.1-8B

model_architecture: LlamaForCausalLM

model_num_parameters: 8030261248.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.8668919515039201, 'latency_mean': 1.1534890699386597, 'latency_p50': 1.1562232971191406, 'latency_p90': 1.2685503482818603}, {'batch_size': 4, 'throughput': 1.8569253097409935, 'latency_mean': 2.1472395169734955, 'latency_p50': 2.151549816131592, 'latency_p90': 2.3566996812820435}, {'batch_size': 5, 'throughput': 2.0107114157033426, 'latency_mean': 2.473087465763092, 'latency_p50': 2.4820882081985474, 'latency_p90': 2.7415483236312865}, {'batch_size': 8, 'throughput': 2.235979912077556, 'latency_mean': 3.552609384059906, 'latency_p50': 3.5381134748458862, 'latency_p90': 3.988979125022888}, {'batch_size': 10, 'throughput': 2.293477573466952, 'latency_mean': 4.319670143127442, 'latency_p50': 4.3141028881073, 'latency_p90': 4.828595089912414}, {'batch_size': 12, 'throughput': 2.311235243355225, 'latency_mean': 5.147494794130325, 'latency_p50': 5.142503499984741, 'latency_p90': 5.815202331542968}, {'batch_size': 15, 'throughput': 2.3417702267495595, 'latency_mean': 6.325440130233765, 'latency_p50': 6.3295851945877075, 'latency_p90': 7.131276082992554}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: asdasd

is_internal_developer: True

language_model: meta-llama/Llama-3.1-8B

model_size: 8B

ranking_group: single

throughput_3p7s: 2.27

us_pacific_date: 2024-12-22

win_ratio: 0.4177651841813478

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}

formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', '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': '### Response:\n{bot_name}:', 'truncate_by_message': False}

Resubmit model

Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name meta-llama-llama-3-1-8b-v2-mkmlizer
Waiting for job on meta-llama-llama-3-1-8b-v2-mkmlizer to finish
meta-llama-llama-3-1-8b-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
meta-llama-llama-3-1-8b-v2-mkmlizer: ║     _____            __           __                                ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║       /___/                                                         ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║  Version: 0.11.12                                                   ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║  https://mk1.ai                                                     ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║  belonging to:                                                      ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║  Chai Research Corp.                                                ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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meta-llama-llama-3-1-8b-v2-mkmlizer: Downloaded to shared memory in 38.741s
meta-llama-llama-3-1-8b-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbqs2uxx1, device:0
meta-llama-llama-3-1-8b-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
meta-llama-llama-3-1-8b-v2-mkmlizer: quantized model in 26.347s
meta-llama-llama-3-1-8b-v2-mkmlizer: Processed model meta-llama/Llama-3.1-8B in 65.088s
meta-llama-llama-3-1-8b-v2-mkmlizer: creating bucket guanaco-mkml-models
meta-llama-llama-3-1-8b-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meta-llama-llama-3-1-8b-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-v2
meta-llama-llama-3-1-8b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-v2/tokenizer_config.json
meta-llama-llama-3-1-8b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-v2/tokenizer.json
meta-llama-llama-3-1-8b-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-v2/flywheel_model.0.safetensors
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Job meta-llama-llama-3-1-8b-v2-mkmlizer completed after 83.76s with status: succeeded
Stopping job with name meta-llama-llama-3-1-8b-v2-mkmlizer
Pipeline stage MKMLizer completed in 84.23s
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Failed to get response for submission meta-llama-llama-3-1-8b_v1: ('http://meta-llama-llama-3-1-8b-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission meta-llama-llama-3-1-8b_v1: ('http://meta-llama-llama-3-1-8b-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Inference service meta-llama-llama-3-1-8b-v2 ready after 491.7006928920746s
Pipeline stage MKMLDeployer completed in 492.32s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.8700389862060547s
Received healthy response to inference request in 1.3982107639312744s
Received healthy response to inference request in 0.8482999801635742s
Received healthy response to inference request in 1.2472553253173828s
Received healthy response to inference request in 0.8551175594329834s
5 requests
0 failed requests
5th percentile: 0.849663496017456
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90th percentile: 1.6813076972961427
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mean time: 1.243784523010254
Pipeline stage StressChecker completed in 7.50s
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