submission_id: nousresearch-meta-llama_4939_v83
developer_uid: end_to_end_test
best_of: 4
celo_rating: 1197.04
display_name: nousresearch-meta-llama_4939_v83
family_friendly_score: 0.6073459715639811
family_friendly_standard_error: 0.0061226278621114155
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_v83
model_num_parameters: 8030261248.0
model_repo: NousResearch/Meta-Llama-3.1-8B-Instruct
model_size: 8B
num_battles: 6638
num_wins: 2873
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-10-21T14:42:56+00:00
us_pacific_date: 2024-10-21
win_ratio: 0.43281108767701115
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nousresearch-meta-llama-4939-v83-mkmlizer: ║       /___/                                                         ║
nousresearch-meta-llama-4939-v83-mkmlizer: ║                                                                     ║
nousresearch-meta-llama-4939-v83-mkmlizer: ║  Version: 0.11.12                                                   ║
nousresearch-meta-llama-4939-v83-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
nousresearch-meta-llama-4939-v83-mkmlizer: ║  https://mk1.ai                                                     ║
nousresearch-meta-llama-4939-v83-mkmlizer: ║                                                                     ║
nousresearch-meta-llama-4939-v83-mkmlizer: ║  The license key for the current software has been verified as      ║
nousresearch-meta-llama-4939-v83-mkmlizer: ║  belonging to:                                                      ║
nousresearch-meta-llama-4939-v83-mkmlizer: ║                                                                     ║
nousresearch-meta-llama-4939-v83-mkmlizer: ║  Chai Research Corp.                                                ║
nousresearch-meta-llama-4939-v83-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
nousresearch-meta-llama-4939-v83-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
nousresearch-meta-llama-4939-v83-mkmlizer: ║                                                                     ║
nousresearch-meta-llama-4939-v83-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nousresearch-meta-llama-4939-v83-mkmlizer: Downloaded to shared memory in 33.550s
nousresearch-meta-llama-4939-v83-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpi8b1w7es, device:0
nousresearch-meta-llama-4939-v83-mkmlizer: Saving flywheel model at /dev/shm/model_cache
nousresearch-meta-llama-4939-v83-mkmlizer: quantized model in 25.849s
nousresearch-meta-llama-4939-v83-mkmlizer: Processed model NousResearch/Meta-Llama-3.1-8B-Instruct in 59.399s
nousresearch-meta-llama-4939-v83-mkmlizer: creating bucket guanaco-mkml-models
nousresearch-meta-llama-4939-v83-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nousresearch-meta-llama-4939-v83-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nousresearch-meta-llama-4939-v83
nousresearch-meta-llama-4939-v83-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4939-v83/config.json
nousresearch-meta-llama-4939-v83-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nousresearch-meta-llama-4939-v83/special_tokens_map.json
nousresearch-meta-llama-4939-v83-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4939-v83/tokenizer_config.json
nousresearch-meta-llama-4939-v83-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nousresearch-meta-llama-4939-v83/tokenizer.json
Job nousresearch-meta-llama-4939-v83-mkmlizer completed after 87.99s with status: succeeded
Stopping job with name nousresearch-meta-llama-4939-v83-mkmlizer
Pipeline stage MKMLizer completed in 90.09s
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Creating inference service nousresearch-meta-llama-4939-v83
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Inference service nousresearch-meta-llama-4939-v83 ready after 141.7667520046234s
Pipeline stage MKMLDeployer completed in 143.01s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.439704179763794s
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Received healthy response to inference request in 1.5349037647247314s
Received healthy response to inference request in 1.3496074676513672s
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5th percentile: 1.353065299987793
10th percentile: 1.3565231323242188
20th percentile: 1.3634387969970703
30th percentile: 1.397268581390381
40th percentile: 1.4580124855041503
50th percentile: 1.51875638961792
60th percentile: 1.5252153396606445
70th percentile: 1.531674289703369
80th percentile: 1.715863847732544
90th percentile: 2.077784013748169
95th percentile: 2.258744096755981
99th percentile: 2.4035121631622314
mean time: 1.6419736862182617
Pipeline stage StressChecker completed in 11.92s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 1355.53s
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