cgato-nemo-12b-humanize-_7413

developer_uid: cgato

submission_id: cgato-nemo-12b-humanize-_7413_v2

model_name: cgato-nemo-12b-humanize-_7413_v2

model_group: cgato/Nemo-12b-Humanize-

status: inactive

timestamp: 2024-12-12T05:19:40+00:00

num_battles: 14021

num_wins: 6944

celo_rating: 1257.42

family_friendly_score: 0.5644

family_friendly_standard_error: 0.007012169992234929

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': 0.6190085095886302, 'latency_mean': 1.6154259824752808, 'latency_p50': 1.6098672151565552, 'latency_p90': 1.7855761289596557}, {'batch_size': 3, 'throughput': 1.1423751249106464, 'latency_mean': 2.621695289611816, 'latency_p50': 2.614489793777466, 'latency_p90': 2.885231876373291}, {'batch_size': 5, 'throughput': 1.3788057375515883, 'latency_mean': 3.6110251915454863, 'latency_p50': 3.635501742362976, 'latency_p90': 4.026495909690857}, {'batch_size': 6, 'throughput': 1.4642079783842712, 'latency_mean': 4.069967008829117, 'latency_p50': 4.080554127693176, 'latency_p90': 4.525160384178162}, {'batch_size': 8, 'throughput': 1.5144499174926536, 'latency_mean': 5.248053359985351, 'latency_p50': 5.2738341093063354, 'latency_p90': 5.93945963382721}, {'batch_size': 10, 'throughput': 1.5722105205234602, 'latency_mean': 6.30948697924614, 'latency_p50': 6.28148353099823, 'latency_p90': 7.0917479515075685}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: cgato-nemo-12b-humanize-_7413_v2

is_internal_developer: False

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

model_size: 13B

ranking_group: single

throughput_3p7s: 1.4

us_pacific_date: 2024-12-11

win_ratio: 0.4952571143285072

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': '<|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-v2-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v2-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v2-mkmlizer: Downloaded to shared memory in 46.050s
cgato-nemo-12b-humanize-7413-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqm7yfh5w, device:0
cgato-nemo-12b-humanize-7413-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-7413-v2-mkmlizer: quantized model in 37.412s
cgato-nemo-12b-humanize-7413-v2-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 83.463s
Retrying (%r) after connection broken by '%r': %s
cgato-nemo-12b-humanize-7413-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v2
cgato-nemo-12b-humanize-7413-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v2/config.json
cgato-nemo-12b-humanize-7413-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v2/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v2/tokenizer_config.json
cgato-nemo-12b-humanize-7413-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v2/tokenizer.json
cgato-nemo-12b-humanize-7413-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v2/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-7413-v2-mkmlizer completed after 114.52s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-7413-v2-mkmlizer
Pipeline stage MKMLizer completed in 115.10s
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