submission_id: meta-llama-llama-3-1-8b-_7331_v6
developer_uid: jnly36
best_of: 8
celo_rating: 1217.43
display_name: meta-llama-llama-3-1-8b-_7331_v6
family_friendly_score: 0.6125714524137356
family_friendly_standard_error: 0.005429893581107429
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': 1.0, 'min_p': 0.0, 'top_k': 10, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
is_internal_developer: False
language_model: meta-llama/Llama-3.1-8B-Instruct
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: meta-llama/Llama-3.1-8B-
model_name: meta-llama-llama-3-1-8b-_7331_v6
model_num_parameters: 8030261248.0
model_repo: meta-llama/Llama-3.1-8B-Instruct
model_size: 8B
num_battles: 8413
num_wins: 3982
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-10-14T17:48:35+00:00
us_pacific_date: 2024-10-14
win_ratio: 0.4733151075716154
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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name meta-llama-llama-3-1-8b-7331-v6-mkmlizer
Waiting for job on meta-llama-llama-3-1-8b-7331-v6-mkmlizer to finish
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: ║ _____ __ __ ║
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meta-llama-llama-3-1-8b-7331-v6-mkmlizer: ║ /___/ ║
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: ║ ║
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: ║ Version: 0.11.12 ║
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: ║ https://mk1.ai ║
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meta-llama-llama-3-1-8b-7331-v6-mkmlizer: ║ Chai Research Corp. ║
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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meta-llama-llama-3-1-8b-7331-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: Downloaded to shared memory in 36.423s
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpub01__f1, device:0
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: quantized model in 27.217s
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: Processed model meta-llama/Llama-3.1-8B-Instruct in 63.640s
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: creating bucket guanaco-mkml-models
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v6
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v6/config.json
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v6/special_tokens_map.json
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v6/tokenizer_config.json
meta-llama-llama-3-1-8b-7331-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meta-llama-llama-3-1-8b-7331-v6/tokenizer.json
Job meta-llama-llama-3-1-8b-7331-v6-mkmlizer completed after 93.77s with status: succeeded
Stopping job with name meta-llama-llama-3-1-8b-7331-v6-mkmlizer
Pipeline stage MKMLizer completed in 94.29s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service meta-llama-llama-3-1-8b-7331-v6
Waiting for inference service meta-llama-llama-3-1-8b-7331-v6 to be ready
Inference service meta-llama-llama-3-1-8b-7331-v6 ready after 150.58598136901855s
Pipeline stage MKMLDeployer completed in 151.17s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6018333435058594s
Received healthy response to inference request in 1.399604320526123s
Received healthy response to inference request in 1.2559270858764648s
Received healthy response to inference request in 1.2276256084442139s
Received healthy response to inference request in 1.3849754333496094s
5 requests
0 failed requests
5th percentile: 1.233285903930664
10th percentile: 1.2389461994171143
20th percentile: 1.2502667903900146
30th percentile: 1.2817367553710937
40th percentile: 1.3333560943603515
50th percentile: 1.3849754333496094
60th percentile: 1.3908269882202149
70th percentile: 1.3966785430908204
80th percentile: 1.4400501251220703
90th percentile: 1.5209417343139648
95th percentile: 1.561387538909912
99th percentile: 1.5937441825866698
mean time: 1.373993158340454
Pipeline stage StressChecker completed in 8.13s
Shutdown handler de-registered
meta-llama-llama-3-1-8b-_7331_v6 status is now deployed due to DeploymentManager action
meta-llama-llama-3-1-8b-_7331_v6 status is now inactive due to auto deactivation removed underperforming models