developer_uid: cloudyu
submission_id: natong19-mistral-nemo-in_8667_v1
model_name: natong19-mistral-nemo-in_8667_v1
model_group: natong19/Mistral-Nemo-In
status: inactive
timestamp: 2024-11-23T23:56:04+00:00
num_battles: 21044
num_wins: 10106
celo_rating: 1243.78
family_friendly_score: 0.5740000000000001
family_friendly_standard_error: 0.006993196693930466
submission_type: basic
model_repo: natong19/Mistral-Nemo-Instruct-2407-abliterated
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
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}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: natong19-mistral-nemo-in_8667_v1
is_internal_developer: False
language_model: natong19/Mistral-Nemo-Instruct-2407-abliterated
model_size: 13B
ranking_group: single
throughput_3p7s: 1.38
us_pacific_date: 2024-11-23
win_ratio: 0.48023189507698155
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': "{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}
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: ╔═════════════════════════════════════════════════════════════════════╗
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: ║ ║
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: ║
natong19-mistral-nemo-in-8667-v1-mkmlizer: ║ ║
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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Creating inference service natong19-mistral-nemo-in-8667-v1
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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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Running pipeline stage StressChecker
Received healthy response to inference request in 1.6905570030212402s
Received healthy response to inference request in 1.1961662769317627s
Received healthy response to inference request in 1.8747270107269287s
Received healthy response to inference request in 2.160862445831299s
Received healthy response to inference request in 1.628756046295166s
5 requests
0 failed requests
5th percentile: 1.2826842308044433
10th percentile: 1.369202184677124
20th percentile: 1.5422380924224854
30th percentile: 1.641116237640381
40th percentile: 1.6658366203308106
50th percentile: 1.6905570030212402
60th percentile: 1.7642250061035156
70th percentile: 1.837893009185791
80th percentile: 1.9319540977478027
90th percentile: 2.046408271789551
95th percentile: 2.1036353588104246
99th percentile: 2.149417028427124
mean time: 1.7102137565612794
Pipeline stage StressChecker completed in 9.93s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 2.00s
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natong19-mistral-nemo-in_8667_v1 status is now deployed due to DeploymentManager action
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2809.61s
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natong19-mistral-nemo-in_8667_v1 status is now inactive due to auto deactivation removed underperforming models