cgato-nemo-12b-humanize_77076

developer_uid: cgato

submission_id: cgato-nemo-12b-humanize_77076_v1

model_name: cgato-nemo-12b-humanize_77076_v1

model_group: cgato/Nemo-12b-Humanize-

status: torndown

timestamp: 2024-12-29T14:34:13+00:00

num_battles: 27055

num_wins: 13522

celo_rating: 1261.63

family_friendly_score: 0.585

family_friendly_standard_error: 0.00696814178960216

submission_type: basic

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

model_architecture: MistralForCausalLM

model_num_parameters: 12772111360.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6026394952525256, 'latency_mean': 1.6592734169960022, 'latency_p50': 1.6698611974716187, 'latency_p90': 1.8089239120483398}, {'batch_size': 3, 'throughput': 1.1182801057674996, 'latency_mean': 2.678091127872467, 'latency_p50': 2.677980899810791, 'latency_p90': 2.932461667060852}, {'batch_size': 5, 'throughput': 1.3519107998224207, 'latency_mean': 3.6797920203208925, 'latency_p50': 3.681369423866272, 'latency_p90': 4.130232906341552}, {'batch_size': 6, 'throughput': 1.417252465117027, 'latency_mean': 4.209671032428742, 'latency_p50': 4.23102867603302, 'latency_p90': 4.734998989105224}, {'batch_size': 8, 'throughput': 1.482610321830039, 'latency_mean': 5.362889244556427, 'latency_p50': 5.380324840545654, 'latency_p90': 6.016218948364258}, {'batch_size': 10, 'throughput': 1.5234478248339087, 'latency_mean': 6.529199236631394, 'latency_p50': 6.5427045822143555, 'latency_p90': 7.229667019844055}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: cgato-nemo-12b-humanize_77076_v1

is_internal_developer: False

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

model_size: 13B

ranking_group: single

throughput_3p7s: 1.36

us_pacific_date: 2024-12-29

win_ratio: 0.4997967104047311

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-77076-v1-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-77076-v1-mkmlizer to finish
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-77076-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-77076-v1-mkmlizer: Downloaded to shared memory in 42.774s
cgato-nemo-12b-humanize-77076-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpevyf0kh2, device:0
cgato-nemo-12b-humanize-77076-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-77076-v1-mkmlizer: quantized model in 35.330s
cgato-nemo-12b-humanize-77076-v1-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest-B in 78.104s
cgato-nemo-12b-humanize-77076-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-77076-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-77076-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-77076-v1
cgato-nemo-12b-humanize-77076-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-77076-v1/config.json
cgato-nemo-12b-humanize-77076-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-77076-v1/special_tokens_map.json
cgato-nemo-12b-humanize-77076-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-77076-v1/tokenizer_config.json
cgato-nemo-12b-humanize-77076-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-77076-v1/tokenizer.json
cgato-nemo-12b-humanize-77076-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-77076-v1/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-77076-v1-mkmlizer completed after 104.77s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-77076-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.25s
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Creating inference service cgato-nemo-12b-humanize-77076-v1
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Inference service cgato-nemo-12b-humanize-77076-v1 ready after 311.51813220977783s
Pipeline stage MKMLDeployer completed in 312.27s
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