cgato-nemo-12b-humanize_41387

developer_uid: cgato

submission_id: cgato-nemo-12b-humanize_41387_v1

model_name: cgato-nemo-12b-humanize_41387_v1

model_group: cgato/Nemo-12b-Humanize-

status: torndown

timestamp: 2025-01-09T01:52:54+00:00

num_battles: 6502

num_wins: 3282

celo_rating: 1262.77

family_friendly_score: 0.581

family_friendly_standard_error: 0.006977664365674233

submission_type: basic

model_repo: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest-C

model_architecture: MistralForCausalLM

model_num_parameters: 12772111360.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.614464017969716, 'latency_mean': 1.6273768103122712, 'latency_p50': 1.6284146308898926, 'latency_p90': 1.7889047622680665}, {'batch_size': 3, 'throughput': 1.1210465727801013, 'latency_mean': 2.6639435505867004, 'latency_p50': 2.673746347427368, 'latency_p90': 2.9099005460739136}, {'batch_size': 5, 'throughput': 1.3662827330502432, 'latency_mean': 3.6423786890506746, 'latency_p50': 3.6402485370635986, 'latency_p90': 4.1213223218917845}, {'batch_size': 6, 'throughput': 1.439178991767431, 'latency_mean': 4.150834530591965, 'latency_p50': 4.1533286571502686, 'latency_p90': 4.628217315673828}, {'batch_size': 8, 'throughput': 1.5013488296095359, 'latency_mean': 5.2971761870384215, 'latency_p50': 5.3017576932907104, 'latency_p90': 5.909824872016906}, {'batch_size': 10, 'throughput': 1.546142165080055, 'latency_mean': 6.429775154590606, 'latency_p50': 6.405791878700256, 'latency_p90': 7.290906596183777}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: cgato-nemo-12b-humanize_41387_v1

is_internal_developer: False

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

model_size: 13B

ranking_group: single

throughput_3p7s: 1.38

us_pacific_date: 2025-01-08

win_ratio: 0.5047677637649954

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-41387-v1-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-41387-v1-mkmlizer to finish
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-41387-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-41387-v1-mkmlizer: Downloaded to shared memory in 51.358s
cgato-nemo-12b-humanize-41387-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2bxi6gr4, device:0
cgato-nemo-12b-humanize-41387-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-41387-v1-mkmlizer: quantized model in 35.579s
cgato-nemo-12b-humanize-41387-v1-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest-C in 86.937s
cgato-nemo-12b-humanize-41387-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-41387-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-41387-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-41387-v1
cgato-nemo-12b-humanize-41387-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-41387-v1/config.json
cgato-nemo-12b-humanize-41387-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-41387-v1/special_tokens_map.json
cgato-nemo-12b-humanize-41387-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-41387-v1/tokenizer_config.json
cgato-nemo-12b-humanize-41387-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-41387-v1/tokenizer.json
cgato-nemo-12b-humanize-41387-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-41387-v1/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-41387-v1-mkmlizer completed after 114.57s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-41387-v1-mkmlizer
Pipeline stage MKMLizer completed in 115.11s
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Creating inference service cgato-nemo-12b-humanize-41387-v1
Waiting for inference service cgato-nemo-12b-humanize-41387-v1 to be ready
Inference service cgato-nemo-12b-humanize-41387-v1 ready after 351.6224408149719s
Pipeline stage MKMLDeployer completed in 352.15s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.2664387226104736s
Received healthy response to inference request in 1.685309886932373s
Received healthy response to inference request in 1.5233657360076904s
Received healthy response to inference request in 1.5600171089172363s
Received healthy response to inference request in 1.1601014137268066s
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mean time: 1.639046573638916
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