udbhavbamba-nemo13b-10k_23246

developer_uid: udbhavbamba

submission_id: udbhavbamba-nemo13b-10k_23246_v6

model_name: resubmit

model_group: udbhavbamba/nemo13b_10k_

status: torndown

timestamp: 2025-03-23T05:31:22+00:00

num_battles: 9023

num_wins: 4133

celo_rating: 1247.7

family_friendly_score: 0.597

family_friendly_standard_error: 0.006936728335461898

submission_type: basic

model_repo: udbhavbamba/nemo13b_10k_sft_v2

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6092518734321091, 'latency_mean': 1.6412611663341523, 'latency_p50': 1.6427946090698242, 'latency_p90': 1.8051392555236816}, {'batch_size': 3, 'throughput': 1.1108494362471635, 'latency_mean': 2.6982130098342894, 'latency_p50': 2.691020131111145, 'latency_p90': 2.989061403274536}, {'batch_size': 5, 'throughput': 1.339119226624855, 'latency_mean': 3.7219081127643587, 'latency_p50': 3.7336889505386353, 'latency_p90': 4.208574080467224}, {'batch_size': 6, 'throughput': 1.3993818073361972, 'latency_mean': 4.260304634571075, 'latency_p50': 4.26654577255249, 'latency_p90': 4.7899268627166744}, {'batch_size': 8, 'throughput': 1.4729471105435006, 'latency_mean': 5.402857210636139, 'latency_p50': 5.390041708946228, 'latency_p90': 6.186764407157898}, {'batch_size': 10, 'throughput': 1.4998661652420358, 'latency_mean': 6.611534107923507, 'latency_p50': 6.654980421066284, 'latency_p90': 7.425256752967834}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: resubmit

is_internal_developer: False

language_model: udbhavbamba/nemo13b_10k_sft_v2

model_size: 13B

ranking_group: single

throughput_3p7s: 1.34

us_pacific_date: 2025-03-22

win_ratio: 0.4580516457940818

generation_params: {'temperature': 0.6, 'top_p': 0.9, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "<s>{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST]{user_name}: {message}[/INST]', 'response_template': '{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 udbhavbamba-nemo13b-10k-23246-v6-mkmlizer
Waiting for job on udbhavbamba-nemo13b-10k-23246-v6-mkmlizer to finish
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║     _____            __           __                                ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║       /___/                                                         ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║                                                                     ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║  Version: 0.12.8                                                    ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║  https://mk1.ai                                                     ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║                                                                     ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║  The license key for the current software has been verified as      ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║  belonging to:                                                      ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║                                                                     ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║  Chai Research Corp.                                                ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ║                                                                     ║
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: Downloaded to shared memory in 34.721s
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpp6fznlr5, device:0
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: quantized model in 34.983s
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: Processed model udbhavbamba/nemo13b_10k_sft_v2 in 69.705s
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: creating bucket guanaco-mkml-models
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/udbhavbamba-nemo13b-10k-23246-v6
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/udbhavbamba-nemo13b-10k-23246-v6/config.json
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/udbhavbamba-nemo13b-10k-23246-v6/special_tokens_map.json
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/udbhavbamba-nemo13b-10k-23246-v6/tokenizer_config.json
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/udbhavbamba-nemo13b-10k-23246-v6/tokenizer.json
udbhavbamba-nemo13b-10k-23246-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/udbhavbamba-nemo13b-10k-23246-v6/flywheel_model.0.safetensors
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Job udbhavbamba-nemo13b-10k-23246-v6-mkmlizer completed after 94.83s with status: succeeded
Stopping job with name udbhavbamba-nemo13b-10k-23246-v6-mkmlizer
Pipeline stage MKMLizer completed in 95.38s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service udbhavbamba-nemo13b-10k-23246-v6
Waiting for inference service udbhavbamba-nemo13b-10k-23246-v6 to be ready
Inference service udbhavbamba-nemo13b-10k-23246-v6 ready after 90.42200875282288s
Pipeline stage MKMLDeployer completed in 90.99s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.242396593093872s
Received healthy response to inference request in 1.5752873420715332s
Received healthy response to inference request in 1.5675268173217773s
Received healthy response to inference request in 1.5751190185546875s
Received healthy response to inference request in 1.6290383338928223s
5 requests
0 failed requests
5th percentile: 1.5690452575683593
10th percentile: 1.5705636978149413
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70th percentile: 1.6182881355285645
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90th percentile: 1.9970532894134523
95th percentile: 2.119724941253662
99th percentile: 2.21786226272583
mean time: 1.7178736209869385
Pipeline stage StressChecker completed in 9.84s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.84s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Skipping teardown as no inference service was successfully deployed
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Creating inference service udbhavbamba-nemo13b-10k-23246-v6-profiler
Waiting for inference service udbhavbamba-nemo13b-10k-23246-v6-profiler to be ready
Inference service udbhavbamba-nemo13b-10k-23246-v6-profiler ready after 130.59485626220703s
Pipeline stage MKMLProfilerDeployer completed in 130.99s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/udbhavbamba-nemo13b-30223c1d2c27abadd44b1cf018b2ad0d-deplopqz2h:/code/chaiverse_profiler_1742708307 --namespace tenant-chaiml-guanaco
kubectl exec -it udbhavbamba-nemo13b-30223c1d2c27abadd44b1cf018b2ad0d-deplopqz2h --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1742708307 && 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_1742708307/summary.json'
kubectl exec -it udbhavbamba-nemo13b-30223c1d2c27abadd44b1cf018b2ad0d-deplopqz2h --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1742708307/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1076.59s
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Running pipeline stage MKMLProfilerDeleter
Checking if service udbhavbamba-nemo13b-10k-23246-v6-profiler is running
Tearing down inference service udbhavbamba-nemo13b-10k-23246-v6-profiler
Service udbhavbamba-nemo13b-10k-23246-v6-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.02s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2267.40s
Shutdown handler de-registered
udbhavbamba-nemo13b-10k_23246_v6 status is now inactive due to auto deactivation removed underperforming models
udbhavbamba-nemo13b-10k_23246_v6 status is now torndown due to DeploymentManager action