developer_uid: cgato
submission_id: cgato-nemo-12b-humanize_89106_v2
model_name: cgato-nemo-12b-humanize_89106_v2
model_group: cgato/Nemo-12b-Humanize-
status: torndown
timestamp: 2025-01-11T02:16:09+00:00
num_battles: 9016
num_wins: 4462
celo_rating: 1257.92
family_friendly_score: 0.5862
family_friendly_standard_error: 0.006965192890365636
submission_type: basic
model_repo: cgato/Nemo-12b-Humanize-KTO-v0.1
model_architecture: MistralForCausalLM
model_num_parameters: 12772111360.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6156411701748274, 'latency_mean': 1.6242549788951874, 'latency_p50': 1.6232026815414429, 'latency_p90': 1.7844659328460692}, {'batch_size': 3, 'throughput': 1.140007970942917, 'latency_mean': 2.6288689959049223, 'latency_p50': 2.629457473754883, 'latency_p90': 2.905413031578064}, {'batch_size': 5, 'throughput': 1.3574871679750262, 'latency_mean': 3.672043231725693, 'latency_p50': 3.697717785835266, 'latency_p90': 4.154652452468872}, {'batch_size': 6, 'throughput': 1.4290364279889527, 'latency_mean': 4.176398612260819, 'latency_p50': 4.181043267250061, 'latency_p90': 4.663569760322571}, {'batch_size': 8, 'throughput': 1.4999939069399382, 'latency_mean': 5.295242644548416, 'latency_p50': 5.2772815227508545, 'latency_p90': 5.999370646476746}, {'batch_size': 10, 'throughput': 1.5340624250380313, 'latency_mean': 6.4721643948555, 'latency_p50': 6.524645447731018, 'latency_p90': 7.244601511955262}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cgato-nemo-12b-humanize_89106_v2
is_internal_developer: False
language_model: cgato/Nemo-12b-Humanize-KTO-v0.1
model_size: 13B
ranking_group: single
throughput_3p7s: 1.37
us_pacific_date: 2025-01-10
win_ratio: 0.49489795918367346
generation_params: {'temperature': 0.7, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.01, 'frequency_penalty': 0.01, '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-89106-v2-mkmlizer
Waiting for job on cgato-nemo-12b-humanize-89106-v2-mkmlizer to finish
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ _____ __ __ ║
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cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ /___/ ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ Version: 0.11.12 ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ belonging to: ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ║ ║
cgato-nemo-12b-humanize-89106-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-humanize-89106-v2-mkmlizer: Downloaded to shared memory in 51.134s
cgato-nemo-12b-humanize-89106-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpoh2ypdql, device:0
cgato-nemo-12b-humanize-89106-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-humanize-89106-v2-mkmlizer: quantized model in 36.828s
cgato-nemo-12b-humanize-89106-v2-mkmlizer: Processed model cgato/Nemo-12b-Humanize-KTO-v0.1 in 87.962s
cgato-nemo-12b-humanize-89106-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-humanize-89106-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-humanize-89106-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-humanize-89106-v2
cgato-nemo-12b-humanize-89106-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-89106-v2/config.json
cgato-nemo-12b-humanize-89106-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-89106-v2/special_tokens_map.json
cgato-nemo-12b-humanize-89106-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-89106-v2/tokenizer_config.json
cgato-nemo-12b-humanize-89106-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-humanize-89106-v2/tokenizer.json
cgato-nemo-12b-humanize-89106-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-humanize-89106-v2/flywheel_model.0.safetensors
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Job cgato-nemo-12b-humanize-89106-v2-mkmlizer completed after 115.06s with status: succeeded
Stopping job with name cgato-nemo-12b-humanize-89106-v2-mkmlizer
Pipeline stage MKMLizer completed in 115.59s
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Creating inference service cgato-nemo-12b-humanize-89106-v2
Waiting for inference service cgato-nemo-12b-humanize-89106-v2 to be ready
Inference service cgato-nemo-12b-humanize-89106-v2 ready after 371.49876403808594s
Pipeline stage MKMLDeployer completed in 372.05s
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Received healthy response to inference request in 2.183727741241455s
Received healthy response to inference request in 1.673877239227295s
Received healthy response to inference request in 2.1304385662078857s
Received healthy response to inference request in 1.7398197650909424s
Received healthy response to inference request in 1.7667474746704102s
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5th percentile: 1.6870657444000243
10th percentile: 1.700254249572754
20th percentile: 1.726631259918213
30th percentile: 1.7452053070068358
40th percentile: 1.755976390838623
50th percentile: 1.7667474746704102
60th percentile: 1.9122239112854005
70th percentile: 2.0577003479003904
80th percentile: 2.1410964012145994
90th percentile: 2.1624120712280273
95th percentile: 2.1730699062347414
99th percentile: 2.1815961742401124
mean time: 1.8989221572875976
Pipeline stage StressChecker completed in 10.88s
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