mistralai-mixtral-8x7b_3473

developer_uid: robert_irvine
submission_id: mistralai-mixtral-8x7b_3473_v110
model_name: mistralai-mixtral-8x7b_3473_v110
model_group: mistralai/Mixtral-8x7B-I
status: torndown
timestamp: 2024-08-05T02:08:55+00:00
num_battles: 177512
num_wins: 75669
celo_rating: 1115.1
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: 1
max_input_tokens: 512
max_output_tokens: 64
display_name: mistralai-mixtral-8x7b_3473_v110
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: 0.4262754067330659
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': 1, '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-v110-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v110-mkmlizer to finish
Stopping job with name mistralai-mixtral-8x7b-3473-v110-mkmlizer
%s, retrying in %s seconds...
Starting job with name mistralai-mixtral-8x7b-3473-v110-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v110-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║     _____            __           __                                ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║       /___/                                                         ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║  Version: 0.9.9                                                     ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║  belonging to:                                                      ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v110-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v110-mkmlizer: Downloaded to shared memory in 196.849s
mistralai-mixtral-8x7b-3473-v110-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmps04a1mle, device:0
mistralai-mixtral-8x7b-3473-v110-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v110-mkmlizer: quantized model in 89.607s
mistralai-mixtral-8x7b-3473-v110-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 286.456s
mistralai-mixtral-8x7b-3473-v110-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v110-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v110-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v110
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v110/config.json
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v110/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v110/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v110/tokenizer.json
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v110/tokenizer.model
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v110/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v110/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v110/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v110/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v110-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-v110-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v110-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-v110-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v110-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-v110-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v110-mkmlizer: 
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mistralai-mixtral-8x7b-3473-v110-mkmlizer: Saving duration: 1.320s
mistralai-mixtral-8x7b-3473-v110-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.600s
mistralai-mixtral-8x7b-3473-v110-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v110-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v110-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v110_reward
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v110_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v110_reward/config.json
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v110_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v110_reward/merges.txt
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v110_reward/vocab.json
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v110_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v110-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v110_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v110-mkmlizer completed after 351.86s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v110-mkmlizer
Pipeline stage MKMLizer completed in 353.48s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v110
Waiting for inference service mistralai-mixtral-8x7b-3473-v110 to be ready
Inference service mistralai-mixtral-8x7b-3473-v110 ready after 171.1372263431549s
Pipeline stage ISVCDeployer completed in 173.04s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.009648561477661s
Received healthy response to inference request in 0.9195945262908936s
Received healthy response to inference request in 1.111182689666748s
Received healthy response to inference request in 1.5722825527191162s
Received healthy response to inference request in 0.6293699741363525s
5 requests
0 failed requests
5th percentile: 0.6874148845672607
10th percentile: 0.745459794998169
20th percentile: 0.8615496158599854
30th percentile: 0.9579121589660644
40th percentile: 1.0345474243164063
50th percentile: 1.111182689666748
60th percentile: 1.2956226348876954
70th percentile: 1.4800625801086424
80th percentile: 1.6597557544708252
90th percentile: 1.8347021579742433
95th percentile: 1.922175359725952
99th percentile: 1.9921539211273194
mean time: 1.2484156608581543
Pipeline stage StressChecker completed in 7.17s
mistralai-mixtral-8x7b_3473_v110 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b_3473_v110 status is now inactive due to auto deactivation removed underperforming models
mistralai-mixtral-8x7b_3473_v110 status is now torndown due to DeploymentManager action