developer_uid: azuruce
submission_id: marinaraspaghetti-nemomi_1739_v1
model_name: marinaraspaghetti-nemomi_1739_v1
model_group: MarinaraSpaghetti/NemoMi
status: torndown
timestamp: 2024-09-24T20:58:50+00:00
num_battles: 2744
num_wins: 1402
celo_rating: 1263.31
family_friendly_score: 0.0
submission_type: basic
model_repo: MarinaraSpaghetti/NemoMix-Unleashed-12B
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6284578987891223, 'latency_mean': 1.5911362862586975, 'latency_p50': 1.6005436182022095, 'latency_p90': 1.7470522403717041}, {'batch_size': 3, 'throughput': 1.0982886462367698, 'latency_mean': 2.7194339954853057, 'latency_p50': 2.7408381700515747, 'latency_p90': 2.998560881614685}, {'batch_size': 5, 'throughput': 1.246195327815152, 'latency_mean': 3.992572165727615, 'latency_p50': 3.996050715446472, 'latency_p90': 4.4923539638519285}, {'batch_size': 6, 'throughput': 1.2902498077885536, 'latency_mean': 4.634201167821884, 'latency_p50': 4.623814582824707, 'latency_p90': 5.173355054855347}, {'batch_size': 8, 'throughput': 1.2621894981398898, 'latency_mean': 6.305284351110458, 'latency_p50': 6.344829797744751, 'latency_p90': 7.260799384117126}, {'batch_size': 10, 'throughput': 1.2262125448399221, 'latency_mean': 8.105423250198363, 'latency_p50': 8.129627466201782, 'latency_p90': 9.342190217971801}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: marinaraspaghetti-nemomi_1739_v1
ineligible_reason: num_battles<5000
is_internal_developer: True
language_model: MarinaraSpaghetti/NemoMix-Unleashed-12B
model_size: 13B
ranking_group: single
throughput_3p7s: 1.23
us_pacific_date: 2024-09-24
win_ratio: 0.510932944606414
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>', '<|end_of_text|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '### Response:\n{bot_name}:', 'truncate_by_message': False}
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 marinaraspaghetti-nemomi-1739-v1-mkmlizer
Waiting for job on marinaraspaghetti-nemomi-1739-v1-mkmlizer to finish
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ _____ __ __ ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ /___/ ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ Version: 0.10.1 ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ https://mk1.ai ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ The license key for the current software has been verified as ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ belonging to: ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ Chai Research Corp. ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ║ ║
marinaraspaghetti-nemomi-1739-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
marinaraspaghetti-nemomi-1739-v1-mkmlizer: Downloaded to shared memory in 45.986s
marinaraspaghetti-nemomi-1739-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4i5x4sit, device:0
marinaraspaghetti-nemomi-1739-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
marinaraspaghetti-nemomi-1739-v1-mkmlizer: quantized model in 35.976s
marinaraspaghetti-nemomi-1739-v1-mkmlizer: Processed model MarinaraSpaghetti/NemoMix-Unleashed-12B in 81.962s
marinaraspaghetti-nemomi-1739-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
marinaraspaghetti-nemomi-1739-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/marinaraspaghetti-nemomi-1739-v1
marinaraspaghetti-nemomi-1739-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/marinaraspaghetti-nemomi-1739-v1/config.json
marinaraspaghetti-nemomi-1739-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/marinaraspaghetti-nemomi-1739-v1/special_tokens_map.json
marinaraspaghetti-nemomi-1739-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/marinaraspaghetti-nemomi-1739-v1/tokenizer_config.json
marinaraspaghetti-nemomi-1739-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/marinaraspaghetti-nemomi-1739-v1/tokenizer.json
marinaraspaghetti-nemomi-1739-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/marinaraspaghetti-nemomi-1739-v1/flywheel_model.0.safetensors
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Job marinaraspaghetti-nemomi-1739-v1-mkmlizer completed after 116.58s with status: succeeded
Stopping job with name marinaraspaghetti-nemomi-1739-v1-mkmlizer
Pipeline stage MKMLizer completed in 117.49s
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Creating inference service marinaraspaghetti-nemomi-1739-v1
Waiting for inference service marinaraspaghetti-nemomi-1739-v1 to be ready
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Inference service marinaraspaghetti-nemomi-1739-v1 ready after 212.76041078567505s
Pipeline stage MKMLDeployer completed in 213.15s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.943939208984375s
Received healthy response to inference request in 1.5250794887542725s
Received healthy response to inference request in 1.4688029289245605s
Received healthy response to inference request in 1.4777154922485352s
Received healthy response to inference request in 1.4839251041412354s
5 requests
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5th percentile: 1.4705854415893556
10th percentile: 1.4723679542541503
20th percentile: 1.4759329795837401
30th percentile: 1.4789574146270752
40th percentile: 1.4814412593841553
50th percentile: 1.4839251041412354
60th percentile: 1.50038685798645
70th percentile: 1.516848611831665
80th percentile: 1.608851432800293
90th percentile: 1.776395320892334
95th percentile: 1.8601672649383545
99th percentile: 1.927184820175171
mean time: 1.5798924446105957
Pipeline stage StressChecker completed in 8.50s
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Inference service marinaraspaghetti-nemomi-1739-v1-profiler ready after 210.46256732940674s
Pipeline stage MKMLProfilerDeployer completed in 210.88s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/marinaraspaghetti-nec9f01ba4d267adb5a8dfe36152dccd57-deploq24c6:/code/chaiverse_profiler_1727212134 --namespace tenant-chaiml-guanaco
kubectl exec -it marinaraspaghetti-nec9f01ba4d267adb5a8dfe36152dccd57-deploq24c6 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727212134 && python profiles.py profile --best_of_n 8 --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_1727212134/summary.json'
kubectl exec -it marinaraspaghetti-nec9f01ba4d267adb5a8dfe36152dccd57-deploq24c6 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727212134/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1142.51s
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Checking if service marinaraspaghetti-nemomi-1739-v1-profiler is running
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Service marinaraspaghetti-nemomi-1739-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.11s
Shutdown handler de-registered
marinaraspaghetti-nemomi_1739_v1 status is now inactive due to auto deactivation removed underperforming models
marinaraspaghetti-nemomi_1739_v1 status is now torndown due to DeploymentManager action