marinaraspaghetti-nemom_1739

developer_uid: huohuo12

submission_id: marinaraspaghetti-nemom_1739_v72

model_name: marinaraspaghetti-nemom_1739_v72

model_group: MarinaraSpaghetti/NemoMi

status: torndown

timestamp: 2025-02-28T02:55:14+00:00

num_battles: 12610

num_wins: 5852

celo_rating: 1251.31

family_friendly_score: 0.5604

family_friendly_standard_error: 0.007019285433717595

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

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.6095348699037869, 'latency_mean': 1.640529088973999, 'latency_p50': 1.642835021018982, 'latency_p90': 1.8135317802429198}, {'batch_size': 3, 'throughput': 1.0977617977916034, 'latency_mean': 2.7229055845737458, 'latency_p50': 2.7517067193984985, 'latency_p90': 3.0148929357528687}, {'batch_size': 5, 'throughput': 1.3348702769922722, 'latency_mean': 3.7303860652446748, 'latency_p50': 3.7484889030456543, 'latency_p90': 4.133119487762451}, {'batch_size': 6, 'throughput': 1.4032567630325612, 'latency_mean': 4.253112095594406, 'latency_p50': 4.254495143890381, 'latency_p90': 4.76123571395874}, {'batch_size': 8, 'throughput': 1.4681364456911887, 'latency_mean': 5.404005056619644, 'latency_p50': 5.391582131385803, 'latency_p90': 6.183719158172607}, {'batch_size': 10, 'throughput': 1.4909627898585591, 'latency_mean': 6.652476049661637, 'latency_p50': 6.666936993598938, 'latency_p90': 7.453573751449585}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: marinaraspaghetti-nemom_1739_v72

is_internal_developer: False

language_model: MarinaraSpaghetti/NemoMix-Unleashed-12B

model_size: 13B

ranking_group: single

throughput_3p7s: 1.34

us_pacific_date: 2025-02-27

win_ratio: 0.4640761300555115

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'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

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}

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-nemom-1739-v72-mkmlizer
Waiting for job on marinaraspaghetti-nemom-1739-v72-mkmlizer to finish
marinaraspaghetti-nemom-1739-v72-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║     _____            __           __                                ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║       /___/                                                         ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║                                                                     ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║  Version: 0.12.8                                                    ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║  https://mk1.ai                                                     ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║                                                                     ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║  The license key for the current software has been verified as      ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║  belonging to:                                                      ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║                                                                     ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║  Chai Research Corp.                                                ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ║                                                                     ║
marinaraspaghetti-nemom-1739-v72-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
marinaraspaghetti-nemom-1739-v72-mkmlizer: Downloaded to shared memory in 32.130s
marinaraspaghetti-nemom-1739-v72-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2j3a3kag, device:0
marinaraspaghetti-nemom-1739-v72-mkmlizer: Saving flywheel model at /dev/shm/model_cache
marinaraspaghetti-nemom-1739-v72-mkmlizer: quantized model in 36.624s
marinaraspaghetti-nemom-1739-v72-mkmlizer: Processed model MarinaraSpaghetti/NemoMix-Unleashed-12B in 68.754s
marinaraspaghetti-nemom-1739-v72-mkmlizer: creating bucket guanaco-mkml-models
marinaraspaghetti-nemom-1739-v72-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
marinaraspaghetti-nemom-1739-v72-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v72
marinaraspaghetti-nemom-1739-v72-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v72/config.json
marinaraspaghetti-nemom-1739-v72-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v72/special_tokens_map.json
marinaraspaghetti-nemom-1739-v72-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v72/tokenizer_config.json
marinaraspaghetti-nemom-1739-v72-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v72/tokenizer.json
marinaraspaghetti-nemom-1739-v72-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/marinaraspaghetti-nemom-1739-v72/flywheel_model.0.safetensors
marinaraspaghetti-nemom-1739-v72-mkmlizer: 
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Job marinaraspaghetti-nemom-1739-v72-mkmlizer completed after 94.52s with status: succeeded
Stopping job with name marinaraspaghetti-nemom-1739-v72-mkmlizer
Pipeline stage MKMLizer completed in 94.98s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
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Running pipeline stage MKMLDeployer
Creating inference service marinaraspaghetti-nemom-1739-v72
Waiting for inference service marinaraspaghetti-nemom-1739-v72 to be ready
Inference service marinaraspaghetti-nemom-1739-v72 ready after 301.2759699821472s
Pipeline stage MKMLDeployer completed in 301.89s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.218893527984619s
Received healthy response to inference request in 1.5720889568328857s
Received healthy response to inference request in 1.5299808979034424s
Received healthy response to inference request in 1.4564721584320068s
Received healthy response to inference request in 1.5751497745513916s
5 requests
0 failed requests
5th percentile: 1.4711739063262939
10th percentile: 1.485875654220581
20th percentile: 1.5152791500091554
30th percentile: 1.538402509689331
40th percentile: 1.5552457332611085
50th percentile: 1.5720889568328857
60th percentile: 1.5733132839202881
70th percentile: 1.5745376110076905
80th percentile: 1.7038985252380372
90th percentile: 1.9613960266113282
95th percentile: 2.0901447772979735
99th percentile: 2.19314377784729
mean time: 1.6705170631408692
Pipeline stage StressChecker completed in 9.69s
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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 0.74s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 6584.22s
Shutdown handler de-registered
marinaraspaghetti-nemom_1739_v72 status is now inactive due to auto deactivation removed underperforming models
marinaraspaghetti-nemom_1739_v72 status is now torndown due to DeploymentManager action