developer_uid: cgato
submission_id: cgato-nemo-12b-humanize-_2028_v1
model_name: cgato-nemo-12b-humanize-_2028_v1
model_group: cgato/Nemo-12b-Humanize-
status: inactive
timestamp: 2024-12-12T03:41:24+00:00
num_battles: 11367
num_wins: 5628
celo_rating: 1257.46
family_friendly_score: 0.5596
family_friendly_standard_error: 0.0070206529610856
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': 0.6180878642486414, 'latency_mean': 1.6178308486938477, 'latency_p50': 1.618747591972351, 'latency_p90': 1.7956461906433105}, {'batch_size': 3, 'throughput': 1.1382798016581837, 'latency_mean': 2.6276258027553556, 'latency_p50': 2.6411709785461426, 'latency_p90': 2.8601886034011836}, {'batch_size': 5, 'throughput': 1.385960066746026, 'latency_mean': 3.5934330832958223, 'latency_p50': 3.5787267684936523, 'latency_p90': 4.028664779663086}, {'batch_size': 6, 'throughput': 1.452954665434523, 'latency_mean': 4.103378329277039, 'latency_p50': 4.092896342277527, 'latency_p90': 4.577604961395264}, {'batch_size': 8, 'throughput': 1.5222665412604486, 'latency_mean': 5.22014884352684, 'latency_p50': 5.167831778526306, 'latency_p90': 5.833639073371887}, {'batch_size': 10, 'throughput': 1.5620883474882643, 'latency_mean': 6.3473573911190035, 'latency_p50': 6.37349545955658, 'latency_p90': 7.233005976676941}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-humanize-_2028_v1
is_internal_developer: False
language_model: cgato/Nemo-12b-Humanize-SFT-v0.1-E2
model_size: 13B
ranking_group: single
throughput_3p7s: 1.41
us_pacific_date: 2024-12-11
win_ratio: 0.4951174452362101
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': '<|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-v1-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-2028-v1-mkmlizer to finish
cgato-nemo-12b-humanize-2028-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-nemo-12b-humanize-2028-v1-mkmlizer: ║ /___/ ║
cgato-nemo-12b-humanize-2028-v1-mkmlizer: ║ ║
cgato-nemo-12b-humanize-2028-v1-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-humanize-2028-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-humanize-2028-v1-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-humanize-2028-v1-mkmlizer: ║ ║
cgato-nemo-12b-humanize-2028-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-nemo-12b-humanize-2028-v1-mkmlizer: ║ belonging to: ║
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cgato-nemo-12b-humanize-2028-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-humanize-2028-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-humanize-2028-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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cgato-nemo-12b-humanize-2028-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-2028-v1-mkmlizer: Downloaded to shared memory in 52.566s
cgato-nemo-12b-humanize-2028-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6of88j40, device:0
cgato-nemo-12b-humanize-2028-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-2028-v1-mkmlizer: quantized model in 36.669s
cgato-nemo-12b-humanize-2028-v1-mkmlizer: Processed model cgato/Nemo-12b-Humanize-SFT-v0.1-E2 in 89.235s
cgato-nemo-12b-humanize-2028-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-2028-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-2028-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v1
cgato-nemo-12b-humanize-2028-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v1/config.json
cgato-nemo-12b-humanize-2028-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v1/special_tokens_map.json
cgato-nemo-12b-humanize-2028-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v1/tokenizer_config.json
cgato-nemo-12b-humanize-2028-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v1/tokenizer.json
Failed to get response for submission function_mujon_2024-12-12: no entry with id "function_mujon_2024-12-12" found on database!
cgato-nemo-12b-humanize-2028-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-2028-v1/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-2028-v1-mkmlizer completed after 114.57s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-2028-v1-mkmlizer
Pipeline stage MKMLizer completed in 115.09s
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Creating inference service cgato-nemo-12b-humanize-2028-v1
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Inference service cgato-nemo-12b-humanize-2028-v1 ready after 190.76644563674927s
Pipeline stage MKMLDeployer completed in 191.30s
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Received healthy response to inference request in 2.457927942276001s
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Received healthy response to inference request in 1.7291367053985596s
Received healthy response to inference request in 1.331906795501709s
Received healthy response to inference request in 1.6205670833587646s
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5th percentile: 1.38963885307312
10th percentile: 1.4473709106445312
20th percentile: 1.5628350257873536
30th percentile: 1.6422810077667236
40th percentile: 1.6857088565826417
50th percentile: 1.7291367053985596
60th percentile: 1.7649612903594971
70th percentile: 1.8007858753204347
80th percentile: 1.946544122695923
90th percentile: 2.202236032485962
95th percentile: 2.3300819873809813
99th percentile: 2.432358751296997
mean time: 1.7916473388671874
Pipeline stage StressChecker completed in 10.26s
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