submission_id: locutusque-apollo-2-0-ll_3599_v3
developer_uid: Locutusque
alignment_samples: 12671
alignment_score: -0.7595382000145376
best_of: 6
celo_rating: 1220.43
display_name: locutusque-apollo-2-0-ll_3599_v3
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': False}
generation_params: {'temperature': 1.3, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.05, 'frequency_penalty': 0.0, 'stopping_words': ['<|im_end|>', '<|im_start|>'], 'max_input_tokens': 1024, 'best_of': 6, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: Locutusque/Apollo-2.0-Llama-3.1-8B
latencies: [{'batch_size': 1, 'throughput': 0.8768344664876164, 'latency_mean': 1.1403699266910552, 'latency_p50': 1.139601469039917, 'latency_p90': 1.2567686796188355}, {'batch_size': 4, 'throughput': 1.9373762064645115, 'latency_mean': 2.052054258584976, 'latency_p50': 2.058983564376831, 'latency_p90': 2.2753950357437134}, {'batch_size': 5, 'throughput': 2.107507136207165, 'latency_mean': 2.3647428011894225, 'latency_p50': 2.390956401824951, 'latency_p90': 2.640138602256775}, {'batch_size': 8, 'throughput': 2.354496448754391, 'latency_mean': 3.3607704055309298, 'latency_p50': 3.3848540782928467, 'latency_p90': 3.8428706645965574}, {'batch_size': 10, 'throughput': 2.439102719148581, 'latency_mean': 4.069735119342804, 'latency_p50': 4.051482200622559, 'latency_p90': 4.539907670021057}, {'batch_size': 12, 'throughput': 2.4738708807078105, 'latency_mean': 4.8090136551857, 'latency_p50': 4.821054697036743, 'latency_p90': 5.435518860816956}, {'batch_size': 15, 'throughput': 2.507403635271489, 'latency_mean': 5.9224970233440395, 'latency_p50': 5.895723342895508, 'latency_p90': 6.680196070671081}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Locutusque/Apollo-2.0-Ll
model_name: locutusque-apollo-2-0-ll_3599_v3
model_num_parameters: 8030261248.0
model_repo: Locutusque/Apollo-2.0-Llama-3.1-8B
model_size: 8B
num_battles: 12671
num_wins: 5887
propriety_score: 0.7365491651205937
propriety_total_count: 1078.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 2.42
timestamp: 2024-09-09T04:12:18+00:00
us_pacific_date: 2024-09-08
win_ratio: 0.46460421434772314
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run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name locutusque-apollo-2-0-ll-3599-v3-mkmlizer
Waiting for job on locutusque-apollo-2-0-ll-3599-v3-mkmlizer to finish
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: ║ _____ __ __ ║
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locutusque-apollo-2-0-ll-3599-v3-mkmlizer: ║ Version: 0.10.1 ║
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: ║ https://mk1.ai ║
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locutusque-apollo-2-0-ll-3599-v3-mkmlizer: ║ Chai Research Corp. ║
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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locutusque-apollo-2-0-ll-3599-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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locutusque-apollo-2-0-ll-3599-v3-mkmlizer: Downloaded to shared memory in 98.789s
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpujo4u5p_, device:0
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: quantized model in 26.982s
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: Processed model Locutusque/Apollo-2.0-Llama-3.1-8B in 125.771s
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: creating bucket guanaco-mkml-models
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/locutusque-apollo-2-0-ll-3599-v3
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/locutusque-apollo-2-0-ll-3599-v3/config.json
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/locutusque-apollo-2-0-ll-3599-v3/special_tokens_map.json
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/locutusque-apollo-2-0-ll-3599-v3/tokenizer_config.json
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/locutusque-apollo-2-0-ll-3599-v3/tokenizer.json
locutusque-apollo-2-0-ll-3599-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/locutusque-apollo-2-0-ll-3599-v3/flywheel_model.0.safetensors
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Job locutusque-apollo-2-0-ll-3599-v3-mkmlizer completed after 145.96s with status: succeeded
Stopping job with name locutusque-apollo-2-0-ll-3599-v3-mkmlizer
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Inference service locutusque-apollo-2-0-ll-3599-v3 ready after 150.72222208976746s
Pipeline stage MKMLDeployer completed in 151.05s
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Received healthy response to inference request in 3.1201980113983154s
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mean time: 2.3597597599029543
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Inference service locutusque-apollo-2-0-ll-3599-v3-profiler ready after 150.35668659210205s
Pipeline stage MKMLProfilerDeployer completed in 150.68s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/locutusque-apollo-2-54643514292f96fa6b9b381c51910489-deplobz2jv:/code/chaiverse_profiler_1725855642 --namespace tenant-chaiml-guanaco
kubectl exec -it locutusque-apollo-2-54643514292f96fa6b9b381c51910489-deplobz2jv --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725855642 && python profiles.py profile --best_of_n 6 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1725855642/summary.json'
kubectl exec -it locutusque-apollo-2-54643514292f96fa6b9b381c51910489-deplobz2jv --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725855642/summary.json'
Pipeline stage MKMLProfilerRunner completed in 760.97s
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Checking if service locutusque-apollo-2-0-ll-3599-v3-profiler is running
Tearing down inference service locutusque-apollo-2-0-ll-3599-v3-profiler
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Pipeline stage MKMLProfilerDeleter completed in 1.65s
Shutdown handler de-registered
locutusque-apollo-2-0-ll_3599_v3 status is now inactive due to auto deactivation removed underperforming models