cgato-nemo-12b-humanize_89106

developer_uid: cgato

submission_id: cgato-nemo-12b-humanize_89106_v1

model_name: cgato-nemo-12b-humanize_89106_v1

model_group: cgato/Nemo-12b-Humanize-

status: torndown

timestamp: 2025-01-09T13:32:23+00:00

num_battles: 12384

num_wins: 6294

celo_rating: 1266.88

family_friendly_score: 0.5842

family_friendly_standard_error: 0.006970084074098389

submission_type: basic

model_repo: cgato/Nemo-12b-Humanize-KTO-v0.1

model_architecture: MistralForCausalLM

model_num_parameters: 12772111360.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6058218196501737, 'latency_mean': 1.650588253736496, 'latency_p50': 1.6490200757980347, 'latency_p90': 1.8233323574066163}, {'batch_size': 3, 'throughput': 1.124462600491477, 'latency_mean': 2.663472796678543, 'latency_p50': 2.6670572757720947, 'latency_p90': 2.9167863368988036}, {'batch_size': 5, 'throughput': 1.3651751761004889, 'latency_mean': 3.6410788547992707, 'latency_p50': 3.618425726890564, 'latency_p90': 4.117666912078858}, {'batch_size': 6, 'throughput': 1.4360189002133936, 'latency_mean': 4.155365116596222, 'latency_p50': 4.18618381023407, 'latency_p90': 4.68006317615509}, {'batch_size': 8, 'throughput': 1.4942243659197547, 'latency_mean': 5.311615395545959, 'latency_p50': 5.31790554523468, 'latency_p90': 6.026070857048035}, {'batch_size': 10, 'throughput': 1.5361382533803887, 'latency_mean': 6.449224963188171, 'latency_p50': 6.427455544471741, 'latency_p90': 7.190512681007385}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: cgato-nemo-12b-humanize_89106_v1

is_internal_developer: False

language_model: cgato/Nemo-12b-Humanize-KTO-v0.1

model_size: 13B

ranking_group: single

throughput_3p7s: 1.38

us_pacific_date: 2025-01-09

win_ratio: 0.5082364341085271

generation_params: {'temperature': 0.7, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.01, 'frequency_penalty': 0.01, '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-89106-v1-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-89106-v1-mkmlizer to finish
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-89106-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-89106-v1-mkmlizer: Downloaded to shared memory in 47.190s
cgato-nemo-12b-humanize-89106-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpg9z3v3i7, device:0
cgato-nemo-12b-humanize-89106-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-89106-v1-mkmlizer: quantized model in 36.568s
cgato-nemo-12b-humanize-89106-v1-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-v0.1 in 83.759s
cgato-nemo-12b-humanize-89106-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-89106-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-89106-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-89106-v1
cgato-nemo-12b-humanize-89106-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-89106-v1/config.json
cgato-nemo-12b-humanize-89106-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-89106-v1/special_tokens_map.json
cgato-nemo-12b-humanize-89106-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-89106-v1/tokenizer_config.json
cgato-nemo-12b-humanize-89106-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-89106-v1/tokenizer.json
cgato-nemo-12b-humanize-89106-v1-mkmlizer: 
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Job cgato-nemo-12b-humanize-89106-v1-mkmlizer completed after 114.76s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-89106-v1-mkmlizer
Pipeline stage MKMLizer completed in 115.30s
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Inference service cgato-nemo-12b-humanize-89106-v1 ready after 361.322758436203s
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