mistralai-mixtral-8x7b_3473

developer_uid: robert_irvine
submission_id: mistralai-mixtral-8x7b_3473_v109
model_name: mistralai-mixtral-8x7b_3473_v109
model_group: mistralai/Mixtral-8x7B-I
status: torndown
timestamp: 2024-08-05T01:50:31+00:00
num_battles: 10144
num_wins: 4628
celo_rating: 1168.98
family_friendly_score: 0.0
submission_type: basic
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
model_architecture: MixtralForCausalLM
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 46702792704.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: mistralai-mixtral-8x7b_3473_v109
is_internal_developer: True
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
ranking_group: single
us_pacific_date: 2024-08-04
win_ratio: 0.4562302839116719
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64, 'reward_max_token_input': 256}
formatter: {'memory_template': '<s>[INST] This is an entertaining conversation. You are {bot_name} who has the persona: {memory}.\nEngage in a chat with {user_name} while staying in character. Try to flirt with {user_name}. Engage in *roleplay* actions. Describe the scene dramatically. \n', 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST] {user_name}: {message} [/INST]', 'response_template': '{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'bot_template': 'Bot: {message}\n', 'memory_template': '', 'prompt_template': '', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v109-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v109-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║     _____            __           __                                ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║       /___/                                                         ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║  Version: 0.9.9                                                     ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║  belonging to:                                                      ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v109-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v109-mkmlizer: Downloaded to shared memory in 187.499s
mistralai-mixtral-8x7b-3473-v109-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsoi9h0xx, device:0
mistralai-mixtral-8x7b-3473-v109-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v109-mkmlizer: quantized model in 92.024s
mistralai-mixtral-8x7b-3473-v109-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 279.522s
mistralai-mixtral-8x7b-3473-v109-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v109-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v109-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v109
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v109/config.json
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v109/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v109/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v109/tokenizer.json
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v109/tokenizer.model
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v109/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v109/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v109/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v109/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v109-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-mixtral-8x7b-3473-v109-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v109-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-mixtral-8x7b-3473-v109-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v109-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-mixtral-8x7b-3473-v109-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v109-mkmlizer: 
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mistralai-mixtral-8x7b-3473-v109-mkmlizer: 
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mistralai-mixtral-8x7b-3473-v109-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v109-mkmlizer: Saving duration: 1.366s
mistralai-mixtral-8x7b-3473-v109-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 14.166s
mistralai-mixtral-8x7b-3473-v109-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v109-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v109-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v109_reward
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v109_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v109_reward/config.json
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v109_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v109_reward/merges.txt
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v109_reward/vocab.json
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v109_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v109-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v109_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v109-mkmlizer completed after 341.37s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v109-mkmlizer
Pipeline stage MKMLizer completed in 342.29s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v109
Waiting for inference service mistralai-mixtral-8x7b-3473-v109 to be ready
Inference service mistralai-mixtral-8x7b-3473-v109 ready after 161.01723098754883s
Pipeline stage ISVCDeployer completed in 163.13s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4834280014038086s
Received healthy response to inference request in 1.7378971576690674s
Received healthy response to inference request in 1.712589979171753s
Received healthy response to inference request in 1.8076045513153076s
Received healthy response to inference request in 1.2842991352081299s
5 requests
0 failed requests
5th percentile: 1.3699573040008546
10th percentile: 1.455615472793579
20th percentile: 1.6269318103790282
30th percentile: 1.7176514148712159
40th percentile: 1.7277742862701415
50th percentile: 1.7378971576690674
60th percentile: 1.7657801151275634
70th percentile: 1.7936630725860596
80th percentile: 1.942769241333008
90th percentile: 2.2130986213684083
95th percentile: 2.348263311386108
99th percentile: 2.4563950634002687
mean time: 1.8051637649536132
Pipeline stage StressChecker completed in 10.00s
mistralai-mixtral-8x7b_3473_v109 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b_3473_v109 status is now inactive due to auto deactivation removed underperforming models
mistralai-mixtral-8x7b_3473_v109 status is now torndown due to DeploymentManager action