mistralai-mixtral-8x7b_3473

developer_uid: robert_irvine
submission_id: mistralai-mixtral-8x7b_3473_v108
model_name: mistralai-mixtral-8x7b_3473_v108
model_group: mistralai/Mixtral-8x7B-I
status: torndown
timestamp: 2024-08-05T00:39:01+00:00
num_battles: 166194
num_wins: 72987
celo_rating: 1164.27
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_v108
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: 0.43916747897035996
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-v108-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v108-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║     _____            __           __                                ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║       /___/                                                         ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║  Version: 0.9.9                                                     ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║  belonging to:                                                      ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v108-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v108-mkmlizer: Downloaded to shared memory in 196.088s
mistralai-mixtral-8x7b-3473-v108-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp4l0rwnll, device:0
mistralai-mixtral-8x7b-3473-v108-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_mofos_2024-07-31: ('http://neversleep-noromaid-v0-8068-v142-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:36316->127.0.0.1:8080: read: connection reset by peer\n')
mistralai-mixtral-8x7b-3473-v108-mkmlizer: quantized model in 92.262s
mistralai-mixtral-8x7b-3473-v108-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 288.350s
mistralai-mixtral-8x7b-3473-v108-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v108-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v108-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v108
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v108/config.json
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v108/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v108/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v108/tokenizer.model
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v108/tokenizer.json
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v108/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v108/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v108/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v108/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v108-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-v108-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v108-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-v108-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v108-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-v108-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v108-mkmlizer: 
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mistralai-mixtral-8x7b-3473-v108-mkmlizer: 
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mistralai-mixtral-8x7b-3473-v108-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v108-mkmlizer: Saving duration: 1.370s
mistralai-mixtral-8x7b-3473-v108-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.404s
mistralai-mixtral-8x7b-3473-v108-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v108-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v108-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v108_reward
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v108_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v108_reward/config.json
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v108_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v108_reward/merges.txt
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v108_reward/vocab.json
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v108_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v108-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v108_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v108-mkmlizer completed after 351.58s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v108-mkmlizer
Pipeline stage MKMLizer completed in 352.56s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v108
Waiting for inference service mistralai-mixtral-8x7b-3473-v108 to be ready
Inference service mistralai-mixtral-8x7b-3473-v108 ready after 160.96049404144287s
Pipeline stage ISVCDeployer completed in 163.34s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5836565494537354s
Received healthy response to inference request in 1.229301929473877s
Received healthy response to inference request in 1.6295664310455322s
Received healthy response to inference request in 1.4548017978668213s
Received healthy response to inference request in 1.3151516914367676s
5 requests
0 failed requests
5th percentile: 1.246471881866455
10th percentile: 1.2636418342590332
20th percentile: 1.2979817390441895
30th percentile: 1.3430817127227783
40th percentile: 1.3989417552947998
50th percentile: 1.4548017978668213
60th percentile: 1.5247076511383058
70th percentile: 1.59461350440979
80th percentile: 1.820384454727173
90th percentile: 2.202020502090454
95th percentile: 2.3928385257720945
99th percentile: 2.5454929447174073
mean time: 1.6424956798553467
Pipeline stage StressChecker completed in 9.23s
mistralai-mixtral-8x7b_3473_v108 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b_3473_v108 status is now inactive due to auto deactivation removed underperforming models
mistralai-mixtral-8x7b_3473_v108 status is now torndown due to DeploymentManager action