cgato-nemo-12b-humanize_7413

developer_uid: cgato

submission_id: cgato-nemo-12b-humanize_7413_v16

model_name: cgato-nemo-12b-humanize_7413_v16

model_group: cgato/Nemo-12b-Humanize-

status: inactive

timestamp: 2024-12-18T03:03:03+00:00

num_battles: 16434

num_wins: 8228

celo_rating: 1263.04

family_friendly_score: 0.5738

family_friendly_standard_error: 0.006993619377689924

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': 0.6061035358300633, 'latency_mean': 1.6497980499267577, 'latency_p50': 1.65646231174469, 'latency_p90': 1.8192436218261718}, {'batch_size': 3, 'throughput': 1.1402798017175941, 'latency_mean': 2.6244582867622377, 'latency_p50': 2.5957621335983276, 'latency_p90': 2.9377126455307008}, {'batch_size': 5, 'throughput': 1.3728778512825552, 'latency_mean': 3.627107936143875, 'latency_p50': 3.6341733932495117, 'latency_p90': 4.035336494445801}, {'batch_size': 6, 'throughput': 1.4394484340045972, 'latency_mean': 4.153564368486404, 'latency_p50': 4.188247084617615, 'latency_p90': 4.699079537391662}, {'batch_size': 8, 'throughput': 1.516859329461297, 'latency_mean': 5.246479852199554, 'latency_p50': 5.277143359184265, 'latency_p90': 5.872618556022644}, {'batch_size': 10, 'throughput': 1.5347091900467, 'latency_mean': 6.464514878988266, 'latency_p50': 6.4818631410598755, 'latency_p90': 7.3079835891723635}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: cgato-nemo-12b-humanize_7413_v16

is_internal_developer: False

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

model_size: 13B

ranking_group: single

throughput_3p7s: 1.39

us_pacific_date: 2024-12-17

win_ratio: 0.500669344042838

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-v16-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v16-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v16-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v16-mkmlizer: Downloaded to shared memory in 35.346s
cgato-nemo-12b-humanize-7413-v16-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdzt9qshv, device:0
cgato-nemo-12b-humanize-7413-v16-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-7413-v16-mkmlizer: quantized model in 37.036s
cgato-nemo-12b-humanize-7413-v16-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 72.382s
cgato-nemo-12b-humanize-7413-v16-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v16-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v16-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v16
cgato-nemo-12b-humanize-7413-v16-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v16/config.json
cgato-nemo-12b-humanize-7413-v16-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v16/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v16-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v16/tokenizer.json
cgato-nemo-12b-humanize-7413-v16-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v16/flywheel_model.0.safetensors
cgato-nemo-12b-humanize-7413-v16-mkmlizer: 
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Job cgato-nemo-12b-humanize-7413-v16-mkmlizer completed after 94.65s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-7413-v16-mkmlizer
Pipeline stage MKMLizer completed in 95.18s
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Creating inference service cgato-nemo-12b-humanize-7413-v16
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Inference service cgato-nemo-12b-humanize-7413-v16 ready after 230.81905245780945s
Pipeline stage MKMLDeployer completed in 231.37s
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Received healthy response to inference request in 1.7134082317352295s
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