developer_uid: cgato
submission_id: cgato-nemo-12b-humanize_7413_v13
model_name: cgato-nemo-12b-humanize_7413_v13
model_group: cgato/Nemo-12b-Humanize-
status: inactive
timestamp: 2024-12-16T23:49:49+00:00
num_battles: 11004
num_wins: 5565
celo_rating: 1269.1
family_friendly_score: 0.5742
family_friendly_standard_error: 0.00699277284058334
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': 0.6144760186044813, 'latency_mean': 1.627314476966858, 'latency_p50': 1.628381609916687, 'latency_p90': 1.8067205667495727}, {'batch_size': 3, 'throughput': 1.1318489116047028, 'latency_mean': 2.636840816736221, 'latency_p50': 2.6316336393356323, 'latency_p90': 2.890640664100647}, {'batch_size': 5, 'throughput': 1.3627577854417257, 'latency_mean': 3.656186964511871, 'latency_p50': 3.6773661375045776, 'latency_p90': 4.08748471736908}, {'batch_size': 6, 'throughput': 1.4275679100806589, 'latency_mean': 4.188156306743622, 'latency_p50': 4.174001216888428, 'latency_p90': 4.730702519416809}, {'batch_size': 8, 'throughput': 1.5040335631208008, 'latency_mean': 5.297431336641312, 'latency_p50': 5.2638654708862305, 'latency_p90': 6.0778178691864015}, {'batch_size': 10, 'throughput': 1.5426351275253016, 'latency_mean': 6.424631788730621, 'latency_p50': 6.439127802848816, 'latency_p90': 7.21027443408966}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-humanize_7413_v13
is_internal_developer: False
language_model: cgato/Nemo-12b-Humanize-KTO-Experimental-Latest
model_size: 13B
ranking_group: single
throughput_3p7s: 1.37
us_pacific_date: 2024-12-16
win_ratio: 0.5057251908396947
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-v13-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-7413-v13-mkmlizer to finish
cgato-nemo-12b-humanize-7413-v13-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-nemo-12b-humanize-7413-v13-mkmlizer: ║ /___/ ║
cgato-nemo-12b-humanize-7413-v13-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v13-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-humanize-7413-v13-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-humanize-7413-v13-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-humanize-7413-v13-mkmlizer: ║ ║
cgato-nemo-12b-humanize-7413-v13-mkmlizer: ║ The license key for the current software has been verified as ║
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cgato-nemo-12b-humanize-7413-v13-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-humanize-7413-v13-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-humanize-7413-v13-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
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cgato-nemo-12b-humanize-7413-v13-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-7413-v13-mkmlizer: Downloaded to shared memory in 51.466s
cgato-nemo-12b-humanize-7413-v13-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp43eiflfe, device:0
cgato-nemo-12b-humanize-7413-v13-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-7413-v13-mkmlizer: quantized model in 36.687s
cgato-nemo-12b-humanize-7413-v13-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-Experimental-Latest in 88.154s
cgato-nemo-12b-humanize-7413-v13-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-7413-v13-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-7413-v13-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v13
cgato-nemo-12b-humanize-7413-v13-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v13/config.json
cgato-nemo-12b-humanize-7413-v13-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v13/special_tokens_map.json
cgato-nemo-12b-humanize-7413-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v13/tokenizer_config.json
cgato-nemo-12b-humanize-7413-v13-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v13/tokenizer.json
cgato-nemo-12b-humanize-7413-v13-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-7413-v13/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-7413-v13-mkmlizer completed after 114.83s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-7413-v13-mkmlizer
Pipeline stage MKMLizer completed in 115.32s
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Inference service cgato-nemo-12b-humanize-7413-v13 ready after 220.78699684143066s
Pipeline stage MKMLDeployer completed in 221.33s
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Received healthy response to inference request in 1.5934209823608398s
Received healthy response to inference request in 1.3647456169128418s
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5th percentile: 1.4104806900024414
10th percentile: 1.456215763092041
20th percentile: 1.5476859092712403
30th percentile: 1.611130428314209
40th percentile: 1.6465493202209474
50th percentile: 1.6819682121276855
60th percentile: 1.7988734245300293
70th percentile: 1.915778636932373
80th percentile: 2.0487890243530273
90th percentile: 2.197904586791992
95th percentile: 2.2724623680114746
99th percentile: 2.3321085929870606
mean time: 1.7922772407531737
Pipeline stage StressChecker completed in 10.60s
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