developer_uid: cgato
submission_id: cgato-nemo-12b-humanize_7413_v18
model_name: cgato-nemo-12b-humanize_7413_v18
model_group: cgato/Nemo-12b-Humanize-
status: torndown
timestamp: 2024-12-23T03:49:04+00:00
num_battles: 22453
num_wins: 11234
celo_rating: 1263.81
family_friendly_score: 0.5811999999999999
family_friendly_standard_error: 0.006977199438170017
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': 0.6146421595571409, 'latency_mean': 1.6269022464752196, 'latency_p50': 1.6143125295639038, 'latency_p90': 1.7981067657470704}, {'batch_size': 3, 'throughput': 1.1285660183779092, 'latency_mean': 2.6559665513038637, 'latency_p50': 2.6676336526870728, 'latency_p90': 2.9059805154800413}, {'batch_size': 5, 'throughput': 1.36260215654692, 'latency_mean': 3.646248576641083, 'latency_p50': 3.6420910358428955, 'latency_p90': 4.021045732498169}, {'batch_size': 6, 'throughput': 1.427993993313421, 'latency_mean': 4.174500184059143, 'latency_p50': 4.206858396530151, 'latency_p90': 4.645402550697327}, {'batch_size': 8, 'throughput': 1.4867569184762455, 'latency_mean': 5.340260771512985, 'latency_p50': 5.312417268753052, 'latency_p90': 6.098184704780579}, {'batch_size': 10, 'throughput': 1.5337378854619148, 'latency_mean': 6.45769965171814, 'latency_p50': 6.470604658126831, 'latency_p90': 7.329438996315003}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-humanize_7413_v18
is_internal_developer: False
language_model: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest
model_size: 13B
ranking_group: single
throughput_3p7s: 1.38
us_pacific_date: 2024-12-22
win_ratio: 0.5003340310871598
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-v18-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v18-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v18-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-nemo-12b-humanize-7413-v18-mkmlizer: ║ /___/ ║
cgato-nemo-12b-humanize-7413-v18-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v18-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-humanize-7413-v18-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-humanize-7413-v18-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-humanize-7413-v18-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v18-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-nemo-12b-humanize-7413-v18-mkmlizer: ║ belonging to: ║
cgato-nemo-12b-humanize-7413-v18-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v18-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-humanize-7413-v18-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-humanize-7413-v18-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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cgato-nemo-12b-humanize-7413-v18-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v18-mkmlizer: Downloaded to shared memory in 56.815s
cgato-nemo-12b-humanize-7413-v18-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp3f2i7evm, device:0
cgato-nemo-12b-humanize-7413-v18-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-7413-v18-mkmlizer: quantized model in 36.434s
cgato-nemo-12b-humanize-7413-v18-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 93.250s
cgato-nemo-12b-humanize-7413-v18-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v18-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v18-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v18
cgato-nemo-12b-humanize-7413-v18-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v18/config.json
cgato-nemo-12b-humanize-7413-v18-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v18/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v18-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v18/tokenizer_config.json
cgato-nemo-12b-humanize-7413-v18-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v18/tokenizer.json
cgato-nemo-12b-humanize-7413-v18-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v18/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-7413-v18-mkmlizer completed after 114.06s with status: succeeded
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Inference service cgato-nemo-12b-humanize-7413-v18 ready after 281.0688636302948s
Pipeline stage MKMLDeployer completed in 281.61s
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Received healthy response to inference request in 1.640106439590454s
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