cgato-nemo-12b-humanize_81216

developer_uid: cycy233

submission_id: cgato-nemo-12b-humanize_81216_v1

model_name: cgato-nemo-12b-humanize_81216_v1

model_group: cgato/Nemo-12b-Humanize-

status: torndown

timestamp: 2025-05-07T03:47:36+00:00

num_battles: 7092

num_wins: 3379

celo_rating: 1265.24

family_friendly_score: 0.523

family_friendly_standard_error: 0.007063582660378514

submission_type: basic

model_repo: cgato/Nemo-12b-Humanize-KTO-Experimental-2

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.6143416820859732, 'latency_mean': 1.6276982164382934, 'latency_p50': 1.6231744289398193, 'latency_p90': 1.8020136594772338}, {'batch_size': 3, 'throughput': 1.124842555246048, 'latency_mean': 2.663332874774933, 'latency_p50': 2.6542882919311523, 'latency_p90': 2.9797051191329955}, {'batch_size': 5, 'throughput': 1.3735959826598467, 'latency_mean': 3.6345664513111116, 'latency_p50': 3.6189441680908203, 'latency_p90': 4.088269996643066}, {'batch_size': 6, 'throughput': 1.437390633518788, 'latency_mean': 4.1628512144088745, 'latency_p50': 4.1746532917022705, 'latency_p90': 4.707091522216797}, {'batch_size': 8, 'throughput': 1.490895610420487, 'latency_mean': 5.321135557889939, 'latency_p50': 5.247679591178894, 'latency_p90': 6.098167085647583}, {'batch_size': 10, 'throughput': 1.5350896114705734, 'latency_mean': 6.477980058193207, 'latency_p50': 6.514840126037598, 'latency_p90': 7.303681826591491}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: cgato-nemo-12b-humanize_81216_v1

is_internal_developer: False

language_model: cgato/Nemo-12b-Humanize-KTO-Experimental-2

model_size: 13B

ranking_group: single

throughput_3p7s: 1.38

us_pacific_date: 2025-05-06

win_ratio: 0.47645234066553865

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': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}

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-81216-v1-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-81216-v1-mkmlizer to finish
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-81216-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-81216-v1-mkmlizer: Downloaded to shared memory in 41.430s
cgato-nemo-12b-humanize-81216-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpptytjsvf, device:0
cgato-nemo-12b-humanize-81216-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-81216-v1-mkmlizer: quantized model in 36.511s
cgato-nemo-12b-humanize-81216-v1-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-2 in 77.942s
cgato-nemo-12b-humanize-81216-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-81216-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-81216-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-81216-v1
cgato-nemo-12b-humanize-81216-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-81216-v1/config.json
cgato-nemo-12b-humanize-81216-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-81216-v1/special_tokens_map.json
cgato-nemo-12b-humanize-81216-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-81216-v1/tokenizer_config.json
cgato-nemo-12b-humanize-81216-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-81216-v1/tokenizer.json
cgato-nemo-12b-humanize-81216-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-81216-v1/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-81216-v1-mkmlizer completed after 104.82s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-81216-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.34s
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Creating inference service cgato-nemo-12b-humanize-81216-v1
Waiting for inference service cgato-nemo-12b-humanize-81216-v1 to be ready
Inference service cgato-nemo-12b-humanize-81216-v1 ready after 150.68881058692932s
Pipeline stage MKMLDeployer completed in 151.23s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.195161819458008s
Received healthy response to inference request in 1.5562283992767334s
Received healthy response to inference request in 1.7388360500335693s
Received healthy response to inference request in 1.8112294673919678s
Received healthy response to inference request in 1.6208546161651611s
5 requests
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