cgato-nemo-12b-humanize_7413

developer_uid: cgato

submission_id: cgato-nemo-12b-humanize_7413_v11

model_name: cgato-nemo-12b-humanize_7413_v11

model_group: cgato/Nemo-12b-Humanize-

status: inactive

timestamp: 2024-12-16T14:33:08+00:00

num_battles: 15925

num_wins: 7930

celo_rating: 1262.91

family_friendly_score: 0.5760000000000001

family_friendly_standard_error: 0.0069889054937092975

submission_type: basic

model_repo: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest

model_architecture: MistralForCausalLM

model_num_parameters: 12772111360.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6115934295558212, 'latency_mean': 1.634981585741043, 'latency_p50': 1.6309237480163574, 'latency_p90': 1.792959499359131}, {'batch_size': 3, 'throughput': 1.1454761205748814, 'latency_mean': 2.6153781986236573, 'latency_p50': 2.63864004611969, 'latency_p90': 2.8709354162216187}, {'batch_size': 5, 'throughput': 1.376824604144388, 'latency_mean': 3.6175031626224516, 'latency_p50': 3.6002336740493774, 'latency_p90': 4.133384394645691}, {'batch_size': 6, 'throughput': 1.4645748334286905, 'latency_mean': 4.070839866399765, 'latency_p50': 4.057222008705139, 'latency_p90': 4.5522602796554565}, {'batch_size': 8, 'throughput': 1.5193429592551442, 'latency_mean': 5.234756360054016, 'latency_p50': 5.213580250740051, 'latency_p90': 5.869760489463806}, {'batch_size': 10, 'throughput': 1.5614008991803734, 'latency_mean': 6.358331128358841, 'latency_p50': 6.349460124969482, 'latency_p90': 7.209067606925965}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: cgato-nemo-12b-humanize_7413_v11

is_internal_developer: False

language_model: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest

model_size: 13B

ranking_group: single

throughput_3p7s: 1.4

us_pacific_date: 2024-12-16

win_ratio: 0.49795918367346936

generation_params: {'temperature': 0.7, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:', '\n\n'], 'max_input_tokens': 1024, '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': True}

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 cgato-nemo-12b-humanize-7413-v11-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v11-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v11-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v11-mkmlizer: Downloaded to shared memory in 49.355s
cgato-nemo-12b-humanize-7413-v11-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbsii2325, device:0
cgato-nemo-12b-humanize-7413-v11-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-7413-v11-mkmlizer: quantized model in 36.527s
cgato-nemo-12b-humanize-7413-v11-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 85.882s
cgato-nemo-12b-humanize-7413-v11-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v11-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v11-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v11
cgato-nemo-12b-humanize-7413-v11-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v11/config.json
cgato-nemo-12b-humanize-7413-v11-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v11/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v11/tokenizer_config.json
cgato-nemo-12b-humanize-7413-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v11/tokenizer.json
cgato-nemo-12b-humanize-7413-v11-mkmlizer: 
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Job cgato-nemo-12b-humanize-7413-v11-mkmlizer completed after 116.12s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-7413-v11-mkmlizer
Pipeline stage MKMLizer completed in 116.62s
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Creating inference service cgato-nemo-12b-humanize-7413-v11
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Inference service cgato-nemo-12b-humanize-7413-v11 ready after 210.93026089668274s
Pipeline stage MKMLDeployer completed in 211.50s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.3533575534820557s
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Received healthy response to inference request in 1.5641891956329346s
Received healthy response to inference request in 1.6484851837158203s
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5th percentile: 1.577147626876831
10th percentile: 1.5901060581207276
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mean time: 1.773832368850708
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Evaluating %s Family Friendly Score with %s threads
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cgato-nemo-12b-humanize_7413_v11 status is now inactive due to auto deactivation removed underperforming models