developer_uid: cgato
submission_id: cgato-nemo-12b-humanize_7413_v15
model_name: cgato-nemo-12b-humanize_7413_v15
model_group: cgato/Nemo-12b-Humanize-
status: inactive
timestamp: 2024-12-18T03:02:35+00:00
num_battles: 16471
num_wins: 8153
celo_rating: 1259.19
family_friendly_score: 0.575
family_friendly_standard_error: 0.006991065727054781
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': 0.6066194525462009, 'latency_mean': 1.6484209322929382, 'latency_p50': 1.647265076637268, 'latency_p90': 1.7983410120010377}, {'batch_size': 3, 'throughput': 1.1285940017561065, 'latency_mean': 2.6566385686397553, 'latency_p50': 2.6575615406036377, 'latency_p90': 2.882718729972839}, {'batch_size': 5, 'throughput': 1.3540985994108232, 'latency_mean': 3.683778631687164, 'latency_p50': 3.6832505464553833, 'latency_p90': 4.12244017124176}, {'batch_size': 6, 'throughput': 1.4102974232655299, 'latency_mean': 4.232354729175568, 'latency_p50': 4.232826471328735, 'latency_p90': 4.79856505393982}, {'batch_size': 8, 'throughput': 1.4886335793659136, 'latency_mean': 5.33710591673851, 'latency_p50': 5.3665677309036255, 'latency_p90': 6.080913424491882}, {'batch_size': 10, 'throughput': 1.5421659586435554, 'latency_mean': 6.451518224477768, 'latency_p50': 6.408402323722839, 'latency_p90': 7.254264450073242}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-humanize_7413_v15
is_internal_developer: False
language_model: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest
model_size: 13B
ranking_group: single
throughput_3p7s: 1.36
us_pacific_date: 2024-12-17
win_ratio: 0.4949911966486552
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
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Running pipeline stage MKMLizer
Starting job with name cgato-nemo-12b-humanize-7413-v15-mkmlizer
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cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v15-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v15-mkmlizer: Downloaded to shared memory in 48.001s
cgato-nemo-12b-humanize-7413-v15-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5dh32eyu, device:0
cgato-nemo-12b-humanize-7413-v15-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-7413-v15-mkmlizer: quantized model in 37.914s
cgato-nemo-12b-humanize-7413-v15-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 85.915s
cgato-nemo-12b-humanize-7413-v15-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v15-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v15-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v15
cgato-nemo-12b-humanize-7413-v15-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v15/config.json
cgato-nemo-12b-humanize-7413-v15-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v15/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v15/tokenizer_config.json
cgato-nemo-12b-humanize-7413-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v15/tokenizer.json
cgato-nemo-12b-humanize-7413-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v15/flywheel_model.0.safetensors
Job cgato-nemo-12b-humanize-7413-v15-mkmlizer completed after 114.68s with status: succeeded
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90th percentile: 1.9206350803375245
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mean time: 1.6626062393188477
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cgato-nemo-12b-humanize_7413_v15 status is now inactive due to auto deactivation removed underperforming models