mistralai-mistral-nemo-_9330

developer_uid: zonemercy
submission_id: mistralai-mistral-nemo-_9330_v30
model_name: 0730v1-0
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2024-07-31T04:08:07+00:00
num_battles: 131504
num_wins: 53554
celo_rating: 1157.12
family_friendly_score: 0.0
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 12772070400.0
best_of: 1
max_input_tokens: 1024
max_output_tokens: 64
display_name: 0730v1-0
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
us_pacific_date: 2024-07-30
win_ratio: 0.40724236525124713
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 1, 'max_output_tokens': 64, 'reward_max_token_input': 256}
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}
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': '', 'prompt_template': '', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v30-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v30-mkmlizer to finish
mistralai-mistral-nemo-9330-v30-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v30-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║  Version: 0.9.7                                                     ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v30-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v30-mkmlizer: Downloaded to shared memory in 56.208s
mistralai-mistral-nemo-9330-v30-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpy292gmvd, device:0
mistralai-mistral-nemo-9330-v30-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v30-mkmlizer: quantized model in 36.333s
mistralai-mistral-nemo-9330-v30-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 92.541s
mistralai-mistral-nemo-9330-v30-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v30-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v30-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v30
mistralai-mistral-nemo-9330-v30-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v30/tokenizer.json
mistralai-mistral-nemo-9330-v30-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:957: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mistral-nemo-9330-v30-mkmlizer:   warnings.warn(
mistralai-mistral-nemo-9330-v30-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mistral-nemo-9330-v30-mkmlizer:   warnings.warn(
mistralai-mistral-nemo-9330-v30-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mistral-nemo-9330-v30-mkmlizer:   warnings.warn(
mistralai-mistral-nemo-9330-v30-mkmlizer: 
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mistralai-mistral-nemo-9330-v30-mkmlizer: 
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mistralai-mistral-nemo-9330-v30-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mistral-nemo-9330-v30-mkmlizer: Saving duration: 1.391s
mistralai-mistral-nemo-9330-v30-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.664s
mistralai-mistral-nemo-9330-v30-mkmlizer: creating bucket guanaco-reward-models
mistralai-mistral-nemo-9330-v30-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mistral-nemo-9330-v30-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v30_reward
mistralai-mistral-nemo-9330-v30-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v30_reward/config.json
mistralai-mistral-nemo-9330-v30-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v30_reward/special_tokens_map.json
mistralai-mistral-nemo-9330-v30-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v30_reward/tokenizer_config.json
mistralai-mistral-nemo-9330-v30-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v30_reward/merges.txt
mistralai-mistral-nemo-9330-v30-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v30_reward/vocab.json
mistralai-mistral-nemo-9330-v30-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v30_reward/tokenizer.json
mistralai-mistral-nemo-9330-v30-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v30_reward/reward.tensors
Job mistralai-mistral-nemo-9330-v30-mkmlizer completed after 146.79s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v30-mkmlizer
Pipeline stage MKMLizer completed in 147.66s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mistral-nemo-9330-v30
Waiting for inference service mistralai-mistral-nemo-9330-v30 to be ready
Inference service mistralai-mistral-nemo-9330-v30 ready after 130.88508105278015s
Pipeline stage ISVCDeployer completed in 132.21s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.385770320892334s
Received healthy response to inference request in 1.5080616474151611s
Received healthy response to inference request in 0.8539621829986572s
Received healthy response to inference request in 1.0743718147277832s
Received healthy response to inference request in 0.43473172187805176s
5 requests
0 failed requests
5th percentile: 0.5185778141021729
10th percentile: 0.602423906326294
20th percentile: 0.7701160907745361
30th percentile: 0.8980441093444824
40th percentile: 0.9862079620361328
50th percentile: 1.0743718147277832
60th percentile: 1.2478477478027343
70th percentile: 1.4213236808776855
80th percentile: 1.6836033821105958
90th percentile: 2.034686851501465
95th percentile: 2.2102285861968993
99th percentile: 2.350661973953247
mean time: 1.2513795375823975
Pipeline stage StressChecker completed in 6.96s
mistralai-mistral-nemo-_9330_v30 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo-_9330_v30 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mistralai-mistral-nemo-_9330_v30
Running pipeline stage ISVCDeleter
Checking if service mistralai-mistral-nemo-9330-v30 is running
Tearing down inference service mistralai-mistral-nemo-9330-v30
Service mistralai-mistral-nemo-9330-v30 has been torndown
Pipeline stage ISVCDeleter completed in 4.82s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mistral-nemo-9330-v30/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v30/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v30/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v30/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v30/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mistral-nemo-9330-v30_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v30_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v30_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v30_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v30_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v30_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v30_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.30s
mistralai-mistral-nemo-_9330_v30 status is now torndown due to DeploymentManager action