submission_id: nousresearch-meta-llama_4939_v81
developer_uid: end_to_end_test
best_of: 4
celo_rating: 1196.98
display_name: nousresearch-meta-llama_4939_v81
family_friendly_score: 0.618880863792223
family_friendly_standard_error: 0.0071716391193664426
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': 0.99, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
ineligible_reason: model is only for e2e test
is_internal_developer: True
language_model: NousResearch/Meta-Llama-3.1-8B-Instruct
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: NousResearch/Meta-Llama-
model_name: nousresearch-meta-llama_4939_v81
model_num_parameters: 8030261248.0
model_repo: NousResearch/Meta-Llama-3.1-8B-Instruct
model_size: 8B
num_battles: 4695
num_wins: 2039
ranking_group: single
status: torndown
submission_type: basic
timestamp: 2024-10-21T14:06:03+00:00
us_pacific_date: 2024-10-21
win_ratio: 0.43429179978700744
Download Preference Data
Resubmit model
Pipeline stage MKMLModelDeleter completed in 11.65s
Shutdown handler not registered because Python interpreter is not running in the main thread
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run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name nousresearch-meta-llama-4939-v81-mkmlizer
Waiting for job on nousresearch-meta-llama-4939-v81-mkmlizer to finish
nousresearch-meta-llama-4939-v81-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nousresearch-meta-llama-4939-v81-mkmlizer: ║     _____            __           __                                ║
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nousresearch-meta-llama-4939-v81-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║       /___/                                                         ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║                                                                     ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║  Version: 0.11.12                                                   ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║  https://mk1.ai                                                     ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║                                                                     ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║  The license key for the current software has been verified as      ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║  belonging to:                                                      ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║                                                                     ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║  Chai Research Corp.                                                ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
nousresearch-meta-llama-4939-v81-mkmlizer: ║                                                                     ║
nousresearch-meta-llama-4939-v81-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nousresearch-meta-llama-4939-v81-mkmlizer: Downloaded to shared memory in 52.601s
nousresearch-meta-llama-4939-v81-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsieehbb2, device:0
nousresearch-meta-llama-4939-v81-mkmlizer: Saving flywheel model at /dev/shm/model_cache
nousresearch-meta-llama-4939-v81-mkmlizer: quantized model in 25.677s
nousresearch-meta-llama-4939-v81-mkmlizer: Processed model NousResearch/Meta-Llama-3.1-8B-Instruct in 78.278s
nousresearch-meta-llama-4939-v81-mkmlizer: creating bucket guanaco-mkml-models
nousresearch-meta-llama-4939-v81-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nousresearch-meta-llama-4939-v81-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nousresearch-meta-llama-4939-v81
nousresearch-meta-llama-4939-v81-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4939-v81/config.json
nousresearch-meta-llama-4939-v81-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nousresearch-meta-llama-4939-v81/special_tokens_map.json
nousresearch-meta-llama-4939-v81-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4939-v81/tokenizer_config.json
nousresearch-meta-llama-4939-v81-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nousresearch-meta-llama-4939-v81/tokenizer.json
nousresearch-meta-llama-4939-v81-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/nousresearch-meta-llama-4939-v81/flywheel_model.0.safetensors
nousresearch-meta-llama-4939-v81-mkmlizer: 
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Job nousresearch-meta-llama-4939-v81-mkmlizer completed after 110.14s with status: succeeded
Stopping job with name nousresearch-meta-llama-4939-v81-mkmlizer
Pipeline stage MKMLizer completed in 111.66s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.44s
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Running pipeline stage MKMLDeployer
Creating inference service nousresearch-meta-llama-4939-v81
Waiting for inference service nousresearch-meta-llama-4939-v81 to be ready
Inference service nousresearch-meta-llama-4939-v81 ready after 172.10598826408386s
Pipeline stage MKMLDeployer completed in 173.52s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.087491273880005s
Received healthy response to inference request in 1.6107935905456543s
Received healthy response to inference request in 1.5377583503723145s
Received healthy response to inference request in 1.7806501388549805s
Received healthy response to inference request in 1.542480230331421s
5 requests
0 failed requests
5th percentile: 1.5387027263641357
10th percentile: 1.539647102355957
20th percentile: 1.5415358543395996
30th percentile: 1.5561429023742677
40th percentile: 1.583468246459961
50th percentile: 1.6107935905456543
60th percentile: 1.6787362098693848
70th percentile: 1.7466788291931152
80th percentile: 1.8420183658599854
90th percentile: 1.9647548198699951
95th percentile: 2.026123046875
99th percentile: 2.075217628479004
mean time: 1.711834716796875
Pipeline stage StressChecker completed in 12.10s
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 1360.96s
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