developer_uid: bogoconic1
submission_id: meta-llama-llama-3-1-8b_7331_v12
model_name: meta-llama-llama-3-1-8b_7331_v12
model_group: meta-llama/Llama-3.1-8B-
status: torndown
timestamp: 2025-04-29T12:33:34+00:00
num_battles: 8554
num_wins: 3688
celo_rating: 1232.38
family_friendly_score: 0.6577999999999999
family_friendly_standard_error: 0.006709681959675883
submission_type: basic
model_repo: meta-llama/Llama-3.1-8B-Instruct
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.8562051008447299, 'latency_mean': 1.167884771823883, 'latency_p50': 1.1663068532943726, 'latency_p90': 1.3013586044311523}, {'batch_size': 4, 'throughput': 1.808359930084749, 'latency_mean': 2.204687216281891, 'latency_p50': 2.1907848119735718, 'latency_p90': 2.4519357442855836}, {'batch_size': 5, 'throughput': 1.9324822322888515, 'latency_mean': 2.573045691251755, 'latency_p50': 2.548995852470398, 'latency_p90': 2.907238221168518}, {'batch_size': 8, 'throughput': 2.1321471063588033, 'latency_mean': 3.718776834011078, 'latency_p50': 3.7264174222946167, 'latency_p90': 4.210491466522217}, {'batch_size': 10, 'throughput': 2.2046587907567132, 'latency_mean': 4.493305807113647, 'latency_p50': 4.474729299545288, 'latency_p90': 5.071126413345337}, {'batch_size': 12, 'throughput': 2.2136689406288204, 'latency_mean': 5.36023708820343, 'latency_p50': 5.369620323181152, 'latency_p90': 6.090439820289612}, {'batch_size': 15, 'throughput': 2.2461702213036525, 'latency_mean': 6.575548223257065, 'latency_p50': 6.5909000635147095, 'latency_p90': 7.377262496948242}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: meta-llama-llama-3-1-8b_7331_v12
is_internal_developer: True
language_model: meta-llama/Llama-3.1-8B-Instruct
model_size: 8B
ranking_group: single
throughput_3p7s: 2.15
us_pacific_date: 2025-04-29
win_ratio: 0.43114332476034606
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': '<|im_start|>user\n{prompt}<|im_end|>\n', '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': True}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name meta-llama-llama-3-1-8b-7331-v12-mkmlizer
Waiting for job on meta-llama-llama-3-1-8b-7331-v12-mkmlizer to finish
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║     _____            __           __                                ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║       /___/                                                         ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║  Version: 0.12.8                                                    ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║  https://mk1.ai                                                     ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║  The license key for the current software has been verified as      ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║  belonging to:                                                      ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║  Chai Research Corp.                                                ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: quantized model in 26.368s
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: Processed model meta-llama/Llama-3.1-8B-Instruct in 59.801s
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: creating bucket guanaco-mkml-models
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v12
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v12/config.json
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v12/special_tokens_map.json
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v12/tokenizer_config.json
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v12/tokenizer.json
meta-llama-llama-3-1-8b-7331-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v12/flywheel_model.0.safetensors
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Job meta-llama-llama-3-1-8b-7331-v12-mkmlizer completed after 84.34s with status: succeeded
Stopping job with name meta-llama-llama-3-1-8b-7331-v12-mkmlizer
Pipeline stage MKMLizer completed in 85.11s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service meta-llama-llama-3-1-8b-7331-v12
Waiting for inference service meta-llama-llama-3-1-8b-7331-v12 to be ready
Inference service meta-llama-llama-3-1-8b-7331-v12 ready after 130.44398021697998s
Pipeline stage MKMLDeployer completed in 130.98s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.9086894989013672s
Received healthy response to inference request in 1.2508604526519775s
Received healthy response to inference request in 1.20670747756958s
Received healthy response to inference request in 1.2192683219909668s
Received healthy response to inference request in 1.4672150611877441s
5 requests
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5th percentile: 1.2092196464538574
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70th percentile: 1.4239441394805907
80th percentile: 1.5555099487304689
90th percentile: 1.732099723815918
95th percentile: 1.8203946113586424
99th percentile: 1.8910305213928222
mean time: 1.410548162460327
Pipeline stage StressChecker completed in 8.41s
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2569.92s
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meta-llama-llama-3-1-8b_7331_v12 status is now inactive due to auto deactivation removed underperforming models
meta-llama-llama-3-1-8b_7331_v12 status is now torndown due to DeploymentManager action