submission_id: natong19-mistral-nemo-in_8667_v1
developer_uid: cloudyu
best_of: 8
celo_rating: 1243.78
display_name: natong19-mistral-nemo-in_8667_v1
family_friendly_score: 0.5740000000000001
family_friendly_standard_error: 0.006993196693930466
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
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}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
latencies: [{'batch_size': 1, 'throughput': 0.6186330204567946, 'latency_mean': 1.616362795829773, 'latency_p50': 1.6245373487472534, 'latency_p90': 1.7848538637161255}, {'batch_size': 3, 'throughput': 1.139861893917851, 'latency_mean': 2.6269416654109956, 'latency_p50': 2.6220191717147827, 'latency_p90': 2.885845923423767}, {'batch_size': 5, 'throughput': 1.361768195826489, 'latency_mean': 3.653659100532532, 'latency_p50': 3.673325538635254, 'latency_p90': 4.019421577453613}, {'batch_size': 6, 'throughput': 1.4370175455793193, 'latency_mean': 4.146321872472763, 'latency_p50': 4.156900882720947, 'latency_p90': 4.657612872123718}, {'batch_size': 8, 'throughput': 1.5092588079990878, 'latency_mean': 5.268268096446991, 'latency_p50': 5.2744961977005005, 'latency_p90': 5.959484934806824}, {'batch_size': 10, 'throughput': 1.5503104975891315, 'latency_mean': 6.408446689844132, 'latency_p50': 6.404703259468079, 'latency_p90': 7.264668393135071}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: natong19/Mistral-Nemo-In
model_name: natong19-mistral-nemo-in_8667_v1
model_num_parameters: 12772070400.0
model_repo: natong19/Mistral-Nemo-Instruct-2407-abliterated
model_size: 13B
num_battles: 21044
num_wins: 10106
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.38
timestamp: 2024-11-23T23:56:04+00:00
us_pacific_date: 2024-11-23
win_ratio: 0.48023189507698155
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 natong19-mistral-nemo-in-8667-v1-mkmlizer
Waiting for job on natong19-mistral-nemo-in-8667-v1-mkmlizer to finish
natong19-mistral-nemo-in-8667-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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natong19-mistral-nemo-in-8667-v1-mkmlizer: ║ /___/ ║
natong19-mistral-nemo-in-8667-v1-mkmlizer: ║ ║
natong19-mistral-nemo-in-8667-v1-mkmlizer: ║ Version: 0.11.12 ║
natong19-mistral-nemo-in-8667-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
natong19-mistral-nemo-in-8667-v1-mkmlizer: ║ https://mk1.ai ║
natong19-mistral-nemo-in-8667-v1-mkmlizer: ║ ║
natong19-mistral-nemo-in-8667-v1-mkmlizer: ║ The license key for the current software has been verified as ║
natong19-mistral-nemo-in-8667-v1-mkmlizer: ║ belonging to: ║
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natong19-mistral-nemo-in-8667-v1-mkmlizer: ║ Chai Research Corp. ║
natong19-mistral-nemo-in-8667-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
natong19-mistral-nemo-in-8667-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
natong19-mistral-nemo-in-8667-v1-mkmlizer: ║ ║
natong19-mistral-nemo-in-8667-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
natong19-mistral-nemo-in-8667-v1-mkmlizer: Downloaded to shared memory in 55.280s
natong19-mistral-nemo-in-8667-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpi74774f8, device:0
natong19-mistral-nemo-in-8667-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
natong19-mistral-nemo-in-8667-v1-mkmlizer: quantized model in 36.388s
natong19-mistral-nemo-in-8667-v1-mkmlizer: Processed model natong19/Mistral-Nemo-Instruct-2407-abliterated in 91.668s
natong19-mistral-nemo-in-8667-v1-mkmlizer: creating bucket guanaco-mkml-models
natong19-mistral-nemo-in-8667-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
natong19-mistral-nemo-in-8667-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/natong19-mistral-nemo-in-8667-v1
natong19-mistral-nemo-in-8667-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/natong19-mistral-nemo-in-8667-v1/config.json
natong19-mistral-nemo-in-8667-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/natong19-mistral-nemo-in-8667-v1/special_tokens_map.json
natong19-mistral-nemo-in-8667-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/natong19-mistral-nemo-in-8667-v1/tokenizer_config.json
natong19-mistral-nemo-in-8667-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/natong19-mistral-nemo-in-8667-v1/tokenizer.json
natong19-mistral-nemo-in-8667-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/natong19-mistral-nemo-in-8667-v1/flywheel_model.0.safetensors
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Job natong19-mistral-nemo-in-8667-v1-mkmlizer completed after 114.78s with status: succeeded
Stopping job with name natong19-mistral-nemo-in-8667-v1-mkmlizer
Pipeline stage MKMLizer completed in 115.26s
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Inference service natong19-mistral-nemo-in-8667-v1 ready after 110.38807463645935s
Pipeline stage MKMLDeployer completed in 110.89s
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Received healthy response to inference request in 2.160862445831299s
Received healthy response to inference request in 1.628756046295166s
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5th percentile: 1.2826842308044433
10th percentile: 1.369202184677124
20th percentile: 1.5422380924224854
30th percentile: 1.641116237640381
40th percentile: 1.6658366203308106
50th percentile: 1.6905570030212402
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90th percentile: 2.046408271789551
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99th percentile: 2.149417028427124
mean time: 1.7102137565612794
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