cgato-nemo-12b-humanize-_7413

developer_uid: cgato

submission_id: cgato-nemo-12b-humanize-_7413_v7

model_name: cgato-nemo-12b-humanize-_7413_v7

model_group: cgato/Nemo-12b-Humanize-

status: inactive

timestamp: 2024-12-15T20:30:39+00:00

num_battles: 19435

num_wins: 9723

celo_rating: 1263.13

family_friendly_score: 0.5724

family_friendly_standard_error: 0.006996545433283485

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': 0.6208062123722254, 'latency_mean': 1.6107489085197448, 'latency_p50': 1.6031824350357056, 'latency_p90': 1.7898301601409912}, {'batch_size': 3, 'throughput': 1.1518627921837912, 'latency_mean': 2.60208771109581, 'latency_p50': 2.5837231874465942, 'latency_p90': 2.905371809005737}, {'batch_size': 5, 'throughput': 1.3987323271295276, 'latency_mean': 3.5557311081886294, 'latency_p50': 3.521182656288147, 'latency_p90': 4.0002999067306515}, {'batch_size': 6, 'throughput': 1.4616766345480119, 'latency_mean': 4.082558490037918, 'latency_p50': 4.05638587474823, 'latency_p90': 4.625000071525574}, {'batch_size': 8, 'throughput': 1.531732676343359, 'latency_mean': 5.2070361995697025, 'latency_p50': 5.212363362312317, 'latency_p90': 5.898103427886963}, {'batch_size': 10, 'throughput': 1.5817212465159047, 'latency_mean': 6.2614778912067415, 'latency_p50': 6.249866724014282, 'latency_p90': 7.105339527130127}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: cgato-nemo-12b-humanize-_7413_v7

is_internal_developer: False

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

model_size: 13B

ranking_group: single

throughput_3p7s: 1.43

us_pacific_date: 2024-12-15

win_ratio: 0.5002829945973759

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-7413-v7-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v7-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
cgato-nemo-12b-humanize-7413-v7-mkmlizer: Downloaded to shared memory in 34.358s
cgato-nemo-12b-humanize-7413-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpgyl9c753, device:0
cgato-nemo-12b-humanize-7413-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-7413-v7-mkmlizer: quantized model in 35.890s
cgato-nemo-12b-humanize-7413-v7-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 70.248s
cgato-nemo-12b-humanize-7413-v7-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v7
cgato-nemo-12b-humanize-7413-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v7/config.json
cgato-nemo-12b-humanize-7413-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v7/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v7/tokenizer_config.json
cgato-nemo-12b-humanize-7413-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v7/tokenizer.json
cgato-nemo-12b-humanize-7413-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v7/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-7413-v7-mkmlizer completed after 95.26s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-7413-v7-mkmlizer
Pipeline stage MKMLizer completed in 95.75s
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Creating inference service cgato-nemo-12b-humanize-7413-v7
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Inference service cgato-nemo-12b-humanize-7413-v7 ready after 210.7316107749939s
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5th percentile: 1.249992561340332
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80th percentile: 2.0059114933013915
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mean time: 1.7903971195220947
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