submission_id: locutusque-apollo-2-0-ll_3599_v6
developer_uid: Locutusque
best_of: 6
celo_rating: 1224.71
display_name: locutusque-apollo-2-0-ll_3599_v6
family_friendly_score: 0.0
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': 1.2, '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': 0.88107257563792, 'latency_mean': 1.1349208056926727, 'latency_p50': 1.142648696899414, 'latency_p90': 1.2553473949432372}, {'batch_size': 4, 'throughput': 1.9487932085288193, 'latency_mean': 2.0437524831295013, 'latency_p50': 2.0607783794403076, 'latency_p90': 2.302227282524109}, {'batch_size': 5, 'throughput': 2.136229789857718, 'latency_mean': 2.3287510442733765, 'latency_p50': 2.335047483444214, 'latency_p90': 2.587317419052124}, {'batch_size': 8, 'throughput': 2.395361027972405, 'latency_mean': 3.307644000053406, 'latency_p50': 3.3298054933547974, 'latency_p90': 3.7095855951309202}, {'batch_size': 10, 'throughput': 2.4739535286236323, 'latency_mean': 4.013040326833725, 'latency_p50': 4.052019119262695, 'latency_p90': 4.562651753425598}, {'batch_size': 12, 'throughput': 2.4903990097480446, 'latency_mean': 4.7632996165752415, 'latency_p50': 4.805569410324097, 'latency_p90': 5.3300707817077635}, {'batch_size': 15, 'throughput': 2.5220805785365794, 'latency_mean': 5.881174513101578, 'latency_p50': 5.908824801445007, 'latency_p90': 6.578080487251282}]
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_v6
model_num_parameters: 8030261248.0
model_repo: Locutusque/Apollo-2.0-Llama-3.1-8B
model_size: 8B
num_battles: 10303
num_wins: 4864
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.46
timestamp: 2024-09-12T02:49:07+00:00
us_pacific_date: 2024-09-11
win_ratio: 0.4720955061632534
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 locutusque-apollo-2-0-ll-3599-v6-mkmlizer
Waiting for job on locutusque-apollo-2-0-ll-3599-v6-mkmlizer to finish
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ _____ __ __ ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ /___/ ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ Version: 0.10.1 ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ https://mk1.ai ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ The license key for the current software has been verified as ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ belonging to: ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ Chai Research Corp. ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ║ ║
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: Downloaded to shared memory in 59.722s
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpn3erkrmn, device:0
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: quantized model in 26.511s
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: Processed model Locutusque/Apollo-2.0-Llama-3.1-8B in 86.234s
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/locutusque-apollo-2-0-ll-3599-v6
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/locutusque-apollo-2-0-ll-3599-v6/special_tokens_map.json
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/locutusque-apollo-2-0-ll-3599-v6/config.json
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/locutusque-apollo-2-0-ll-3599-v6/tokenizer_config.json
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/locutusque-apollo-2-0-ll-3599-v6/tokenizer.json
locutusque-apollo-2-0-ll-3599-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/locutusque-apollo-2-0-ll-3599-v6/flywheel_model.0.safetensors
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Job locutusque-apollo-2-0-ll-3599-v6-mkmlizer completed after 105.35s with status: succeeded
Stopping job with name locutusque-apollo-2-0-ll-3599-v6-mkmlizer
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Creating inference service locutusque-apollo-2-0-ll-3599-v6
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Inference service locutusque-apollo-2-0-ll-3599-v6 ready after 150.7997829914093s
Pipeline stage MKMLDeployer completed in 151.17s
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Received healthy response to inference request in 1.9064486026763916s
Received healthy response to inference request in 7.66996431350708s
Received healthy response to inference request in 1.2877678871154785s
Received healthy response to inference request in 1.3934848308563232s
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mean time: 4.062496280670166
%s, retrying in %s seconds...
Received healthy response to inference request in 6.1523237228393555s
Received healthy response to inference request in 1.649895429611206s
Received healthy response to inference request in 1.3210034370422363s
Received healthy response to inference request in 4.720201730728149s
Received healthy response to inference request in 1.517533302307129s
5 requests
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5th percentile: 1.3603094100952149
10th percentile: 1.3996153831481934
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99th percentile: 6.095038843154907
mean time: 3.072191524505615
Pipeline stage StressChecker completed in 37.54s
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locutusque-apollo-2-0-ll_3599_v6 status is now deployed due to DeploymentManager action
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Inference service locutusque-apollo-2-0-ll-3599-v6-profiler ready after 170.53359985351562s
Pipeline stage MKMLProfilerDeployer completed in 170.92s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/locutusque-apollo-2-044ea2eabfdff1ea9b4957c4d0079fe1-deplo6sk2h:/code/chaiverse_profiler_1726109870 --namespace tenant-chaiml-guanaco
kubectl exec -it locutusque-apollo-2-044ea2eabfdff1ea9b4957c4d0079fe1-deplo6sk2h --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726109870 && 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_1726109870/summary.json'
kubectl exec -it locutusque-apollo-2-044ea2eabfdff1ea9b4957c4d0079fe1-deplo6sk2h --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726109870/summary.json'
Pipeline stage MKMLProfilerRunner completed in 752.70s
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Running pipeline stage MKMLProfilerDeleter
Checking if service locutusque-apollo-2-0-ll-3599-v6-profiler is running
Tearing down inference service locutusque-apollo-2-0-ll-3599-v6-profiler
Service locutusque-apollo-2-0-ll-3599-v6-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.07s
Shutdown handler de-registered
locutusque-apollo-2-0-ll_3599_v6 status is now inactive due to auto deactivation removed underperforming models
locutusque-apollo-2-0-ll_3599_v6 status is now torndown due to DeploymentManager action