cgato-nemo-12b-humanize-_7413

developer_uid: cgato

submission_id: cgato-nemo-12b-humanize-_7413_v1

model_name: cgato-nemo-12b-humanize-_7413_v1

model_group: cgato/Nemo-12b-Humanize-

status: inactive

timestamp: 2024-12-12T03:40:37+00:00

num_battles: 11597

num_wins: 5643

celo_rating: 1252.73

family_friendly_score: 0.5628

family_friendly_standard_error: 0.007015071774401171

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': 0.6161748418384898, 'latency_mean': 1.6228536593914031, 'latency_p50': 1.6285773515701294, 'latency_p90': 1.7888739109039307}, {'batch_size': 3, 'throughput': 1.147692478404505, 'latency_mean': 2.6110072350502014, 'latency_p50': 2.612565755844116, 'latency_p90': 2.8999054193496705}, {'batch_size': 5, 'throughput': 1.3773324862706668, 'latency_mean': 3.6195443546772004, 'latency_p50': 3.6257580518722534, 'latency_p90': 4.075958514213562}, {'batch_size': 6, 'throughput': 1.4329142574723326, 'latency_mean': 4.1709699535369875, 'latency_p50': 4.155614376068115, 'latency_p90': 4.670357656478882}, {'batch_size': 8, 'throughput': 1.5077364712531154, 'latency_mean': 5.281986440420151, 'latency_p50': 5.380784749984741, 'latency_p90': 5.873221135139465}, {'batch_size': 10, 'throughput': 1.5524582088895913, 'latency_mean': 6.39372239112854, 'latency_p50': 6.3857526779174805, 'latency_p90': 7.251520323753357}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: cgato-nemo-12b-humanize-_7413_v1

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: 2024-12-11

win_ratio: 0.48659135983443996

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-v1-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v1-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-humanize-7413-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v1-mkmlizer: Downloaded to shared memory in 52.831s
cgato-nemo-12b-humanize-7413-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnbwnfr8e, device:0
cgato-nemo-12b-humanize-7413-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
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cgato-nemo-12b-humanize-7413-v1-mkmlizer: quantized model in 39.410s
cgato-nemo-12b-humanize-7413-v1-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 92.241s
cgato-nemo-12b-humanize-7413-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v1
cgato-nemo-12b-humanize-7413-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v1/config.json
cgato-nemo-12b-humanize-7413-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v1/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v1/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-7413-v1-mkmlizer completed after 125.36s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-7413-v1-mkmlizer
Pipeline stage MKMLizer completed in 125.90s
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Running pipeline stage MKMLTemplater
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Running pipeline stage MKMLDeployer
Creating inference service cgato-nemo-12b-humanize-7413-v1
Waiting for inference service cgato-nemo-12b-humanize-7413-v1 to be ready
Failed to get response for submission function_mujon_2024-12-12: no entry with id "function_mujon_2024-12-12" found on database!
Failed to get response for submission function_mujon_2024-12-12: no entry with id "function_mujon_2024-12-12" found on database!
Inference service cgato-nemo-12b-humanize-7413-v1 ready after 191.1654167175293s
Pipeline stage MKMLDeployer completed in 191.79s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1212310791015625s
Received healthy response to inference request in 2.78686785697937s
Received healthy response to inference request in 2.004363775253296s
Received healthy response to inference request in 1.3529109954833984s
Received healthy response to inference request in 1.6128218173980713s
5 requests
0 failed requests
5th percentile: 1.404893159866333
10th percentile: 1.4568753242492676
20th percentile: 1.5608396530151367
30th percentile: 1.6911302089691163
40th percentile: 1.847746992111206
50th percentile: 2.004363775253296
60th percentile: 2.0511106967926027
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80th percentile: 2.254358434677124
90th percentile: 2.5206131458282472
95th percentile: 2.6537405014038087
99th percentile: 2.7602423858642577
mean time: 1.9756391048431396
Pipeline stage StressChecker completed in 11.26s
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Running pipeline stage OfflineFamilyFriendlyScorer
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2675.22s
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cgato-nemo-12b-humanize-_7413_v1 status is now inactive due to auto deactivation removed underperforming models