sao10k-12b-nemo-steertama

developer_uid: Sao10K

submission_id: sao10k-12b-nemo-steertama_v1

model_name: steertama-nemo

model_group: Sao10K/12B-Nemo-Steertam

status: inactive

timestamp: 2024-12-11T13:17:13+00:00

num_battles: 19817

num_wins: 9297

celo_rating: 1242.49

family_friendly_score: 0.5714

family_friendly_standard_error: 0.006998600431514861

submission_type: basic

model_repo: Sao10K/12B-Nemo-Steertama

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 512

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.7095602749224638, 'latency_mean': 1.409253760576248, 'latency_p50': 1.400306224822998, 'latency_p90': 1.5747653722763062}, {'batch_size': 4, 'throughput': 1.699753650439663, 'latency_mean': 2.3415524446964264, 'latency_p50': 2.3364903926849365, 'latency_p90': 2.6075202226638794}, {'batch_size': 5, 'throughput': 1.8686341343133712, 'latency_mean': 2.658950788974762, 'latency_p50': 2.6512659788131714, 'latency_p90': 2.9855566740036013}, {'batch_size': 8, 'throughput': 2.158889809667637, 'latency_mean': 3.673422148227692, 'latency_p50': 3.6586562395095825, 'latency_p90': 4.137703061103821}, {'batch_size': 10, 'throughput': 2.226970187251522, 'latency_mean': 4.446618497371674, 'latency_p50': 4.443574666976929, 'latency_p90': 4.994234824180603}, {'batch_size': 12, 'throughput': 2.2576651819305775, 'latency_mean': 5.25009999871254, 'latency_p50': 5.27560031414032, 'latency_p90': 5.905391645431519}, {'batch_size': 15, 'throughput': 2.3415955891690174, 'latency_mean': 6.318574749231338, 'latency_p50': 6.410794496536255, 'latency_p90': 7.123175859451294}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: steertama-nemo

is_internal_developer: False

language_model: Sao10K/12B-Nemo-Steertama

model_size: 13B

ranking_group: single

throughput_3p7s: 2.18

us_pacific_date: 2024-12-11

win_ratio: 0.469142655295958

generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '\n\n', '\nYou:', '[/INST]', '<|im_end|>', '</s>'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}

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}

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 sao10k-12b-nemo-steertama-v1-mkmlizer
Waiting for job on sao10k-12b-nemo-steertama-v1-mkmlizer to finish
sao10k-12b-nemo-steertama-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-12b-nemo-steertama-v1-mkmlizer: ║     _____            __           __                                ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║       /___/                                                         ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║                                                                     ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║  https://mk1.ai                                                     ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║                                                                     ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║  belonging to:                                                      ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║                                                                     ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║  Chai Research Corp.                                                ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ║                                                                     ║
sao10k-12b-nemo-steertama-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-12b-nemo-steertama-v1-mkmlizer: Downloaded to shared memory in 49.115s
sao10k-12b-nemo-steertama-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4bixti7b, device:0
sao10k-12b-nemo-steertama-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-12b-nemo-steertama-v1-mkmlizer: quantized model in 37.009s
sao10k-12b-nemo-steertama-v1-mkmlizer: Processed model Sao10K/12B-Nemo-Steertama in 86.124s
sao10k-12b-nemo-steertama-v1-mkmlizer: creating bucket guanaco-mkml-models
sao10k-12b-nemo-steertama-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-12b-nemo-steertama-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-12b-nemo-steertama-v1
sao10k-12b-nemo-steertama-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-12b-nemo-steertama-v1/config.json
sao10k-12b-nemo-steertama-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-12b-nemo-steertama-v1/special_tokens_map.json
sao10k-12b-nemo-steertama-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-12b-nemo-steertama-v1/tokenizer_config.json
sao10k-12b-nemo-steertama-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-12b-nemo-steertama-v1/tokenizer.json
sao10k-12b-nemo-steertama-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-12b-nemo-steertama-v1/flywheel_model.0.safetensors
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Job sao10k-12b-nemo-steertama-v1-mkmlizer completed after 114.72s with status: succeeded
Stopping job with name sao10k-12b-nemo-steertama-v1-mkmlizer
Pipeline stage MKMLizer completed in 115.23s
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Pipeline stage MKMLTemplater completed in 0.16s
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Creating inference service sao10k-12b-nemo-steertama-v1
Waiting for inference service sao10k-12b-nemo-steertama-v1 to be ready
Inference service sao10k-12b-nemo-steertama-v1 ready after 190.91225361824036s
Pipeline stage MKMLDeployer completed in 191.45s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.185397148132324s
Received healthy response to inference request in 1.8282365798950195s
Received healthy response to inference request in 1.586902141571045s
Received healthy response to inference request in 1.693258285522461s
Received healthy response to inference request in 1.6920356750488281s
5 requests
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5th percentile: 1.6079288482666017
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mean time: 1.7971659660339356
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Evaluating %s Family Friendly Score with %s threads
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sao10k-12b-nemo-steertama_v1 status is now inactive due to auto deactivation removed underperforming models