meta-llama-llama-3-1-8b-_7331

developer_uid: rica40325

submission_id: meta-llama-llama-3-1-8b-_7331_v8

model_name: meta-llama-llama-3-1-8b-_7331_v8

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

status: torndown

timestamp: 2025-03-10T14:48:02+00:00

num_battles: 9637

num_wins: 4030

celo_rating: 1213.82

family_friendly_score: 0.6497999999999999

family_friendly_standard_error: 0.006746257629234152

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': 0.8522601629735549, 'latency_mean': 1.1732848942279817, 'latency_p50': 1.1640750169754028, 'latency_p90': 1.2975159168243409}, {'batch_size': 4, 'throughput': 1.7862346741105717, 'latency_mean': 2.2296370017528533, 'latency_p50': 2.2265409231185913, 'latency_p90': 2.483957052230835}, {'batch_size': 5, 'throughput': 1.9328298334007157, 'latency_mean': 2.5634766530990603, 'latency_p50': 2.5666931867599487, 'latency_p90': 2.835837411880493}, {'batch_size': 8, 'throughput': 2.129207863141961, 'latency_mean': 3.735582535266876, 'latency_p50': 3.7370126247406006, 'latency_p90': 4.199244475364685}, {'batch_size': 10, 'throughput': 2.196291390916431, 'latency_mean': 4.515052397251129, 'latency_p50': 4.4900548458099365, 'latency_p90': 5.136900997161865}, {'batch_size': 12, 'throughput': 2.2141673396164445, 'latency_mean': 5.378072015047073, 'latency_p50': 5.342186093330383, 'latency_p90': 6.111939859390259}, {'batch_size': 15, 'throughput': 2.224708173747352, 'latency_mean': 6.655457694530487, 'latency_p50': 6.71535325050354, 'latency_p90': 7.355048251152039}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: meta-llama-llama-3-1-8b-_7331_v8

is_internal_developer: False

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

model_size: 8B

ranking_group: single

throughput_3p7s: 2.14

us_pacific_date: 2025-03-10

win_ratio: 0.4181799315139566

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': "{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}

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-v8-mkmlizer
Waiting for job on meta-llama-llama-3-1-8b-7331-v8-mkmlizer to finish
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║     _____            __           __                                ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║       /___/                                                         ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║  Version: 0.12.8                                                    ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║  https://mk1.ai                                                     ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║  The license key for the current software has been verified as      ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║  belonging to:                                                      ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║  Chai Research Corp.                                                ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ║                                                                     ║
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: Downloaded to shared memory in 33.675s
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkmci2p4u, device:0
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: quantized model in 26.055s
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: Processed model meta-llama/Llama-3.1-8B-Instruct in 59.730s
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: creating bucket guanaco-mkml-models
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v8
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v8/config.json
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v8/special_tokens_map.json
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v8/tokenizer_config.json
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v8/tokenizer.json
meta-llama-llama-3-1-8b-7331-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v8/flywheel_model.0.safetensors
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Job meta-llama-llama-3-1-8b-7331-v8-mkmlizer completed after 83.39s with status: succeeded
Stopping job with name meta-llama-llama-3-1-8b-7331-v8-mkmlizer
Pipeline stage MKMLizer completed in 83.86s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Creating inference service meta-llama-llama-3-1-8b-7331-v8
Waiting for inference service meta-llama-llama-3-1-8b-7331-v8 to be ready
Inference service meta-llama-llama-3-1-8b-7331-v8 ready after 90.33477663993835s
Pipeline stage MKMLDeployer completed in 90.76s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.8449864387512207s
Received healthy response to inference request in 1.4355261325836182s
Received healthy response to inference request in 1.229435682296753s
Received healthy response to inference request in 1.239990472793579s
Received healthy response to inference request in 1.1145668029785156s
5 requests
0 failed requests
5th percentile: 1.137540578842163
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90th percentile: 1.6812023162841798
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99th percentile: 1.8286080265045166
mean time: 1.3729011058807372
Pipeline stage StressChecker completed in 7.95s
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meta-llama-llama-3-1-8b-_7331_v8 status is now inactive due to auto deactivation removed underperforming models
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