developer_uid: cgato
submission_id: cgato-nemo-12b-humanize-_2028_v3
model_name: cgato-nemo-12b-humanize-_2028_v3
model_group: cgato/Nemo-12b-Humanize-
status: inactive
timestamp: 2024-12-15T20:29:19+00:00
num_battles: 20378
num_wins: 10375
celo_rating: 1269.0
family_friendly_score: 0.5751999999999999
family_friendly_standard_error: 0.0069906360225661865
submission_type: basic
model_repo: cgato/Nemo-12b-Humanize-SFT-v0.1-E2
model_architecture: MistralForCausalLM
model_num_parameters: 12772111360.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6137057128990653, 'latency_mean': 1.6293579542636871, 'latency_p50': 1.647591233253479, 'latency_p90': 1.7931958198547364}, {'batch_size': 3, 'throughput': 1.122094268560333, 'latency_mean': 2.6666937172412872, 'latency_p50': 2.6779558658599854, 'latency_p90': 2.8946033716201782}, {'batch_size': 5, 'throughput': 1.352132163757159, 'latency_mean': 3.6803292775154115, 'latency_p50': 3.7014782428741455, 'latency_p90': 4.126457905769348}, {'batch_size': 6, 'throughput': 1.4174797917018762, 'latency_mean': 4.208369380235672, 'latency_p50': 4.201263427734375, 'latency_p90': 4.706258606910706}, {'batch_size': 8, 'throughput': 1.4959702635934862, 'latency_mean': 5.306796538829803, 'latency_p50': 5.2801676988601685, 'latency_p90': 5.947654604911804}, {'batch_size': 10, 'throughput': 1.5408570949259899, 'latency_mean': 6.4467027270793915, 'latency_p50': 6.489896655082703, 'latency_p90': 7.272594380378723}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-humanize-_2028_v3
is_internal_developer: False
language_model: cgato/Nemo-12b-Humanize-SFT-v0.1-E2
model_size: 13B
ranking_group: single
throughput_3p7s: 1.36
us_pacific_date: 2024-12-15
win_ratio: 0.5091274904308568
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'], '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-2028-v3-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-2028-v3-mkmlizer to finish
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-2028-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-2028-v3-mkmlizer: Downloaded to shared memory in 35.460s
cgato-nemo-12b-humanize-2028-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_1o_igys, device:0
cgato-nemo-12b-humanize-2028-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-2028-v3-mkmlizer: quantized model in 38.039s
cgato-nemo-12b-humanize-2028-v3-mkmlizer: Processed model cgato/Nemo-12b-Humanize-SFT-v0.1-E2 in 73.499s
cgato-nemo-12b-humanize-2028-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-2028-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-2028-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v3
cgato-nemo-12b-humanize-2028-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v3/config.json
cgato-nemo-12b-humanize-2028-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v3/special_tokens_map.json
cgato-nemo-12b-humanize-2028-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v3/tokenizer_config.json
cgato-nemo-12b-humanize-2028-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v3/tokenizer.json
cgato-nemo-12b-humanize-2028-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v3/flywheel_model.0.safetensors
cgato-nemo-12b-humanize-2028-v3-mkmlizer: 
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Job cgato-nemo-12b-humanize-2028-v3-mkmlizer completed after 104.82s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-2028-v3-mkmlizer
Pipeline stage MKMLizer completed in 105.38s
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Creating inference service cgato-nemo-12b-humanize-2028-v3
Waiting for inference service cgato-nemo-12b-humanize-2028-v3 to be ready
Inference service cgato-nemo-12b-humanize-2028-v3 ready after 211.61073899269104s
Pipeline stage MKMLDeployer completed in 212.14s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4435760974884033s
Received healthy response to inference request in 1.6178853511810303s
Received healthy response to inference request in 1.683398723602295s
Received healthy response to inference request in 1.5074810981750488s
Received healthy response to inference request in 1.9490885734558105s
5 requests
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5th percentile: 1.529561948776245
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20th percentile: 1.595804500579834
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50th percentile: 1.683398723602295
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80th percentile: 2.0479860782623294
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mean time: 1.8402859687805175
Pipeline stage StressChecker completed in 10.55s
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