mistralai-mixtral-8x7b-_3473

developer_uid: dzhao1
submission_id: mistralai-mixtral-8x7b-_3473_v90
model_name: mistralai-mixtral-8x7b-_3473_v90
model_group: mistralai/Mixtral-8x7B-I
status: torndown
timestamp: 2024-07-19T17:01:19+00:00
num_battles: 7735
num_wins: 3597
celo_rating: 1174.52
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_v90
is_internal_developer: False
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
ranking_group: single
us_pacific_date: 2024-07-19
win_ratio: 0.46502908855850034
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}
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_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-mixtral-8x7b-3473-v90-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v90-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║     _____            __           __                                ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║       /___/                                                         ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║  Version: 0.9.5.post3                                               ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║  belonging to:                                                      ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v90-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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mistralai-mixtral-8x7b-3473-v90-mkmlizer: Downloaded to shared memory in 209.166s
mistralai-mixtral-8x7b-3473-v90-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpo2or2_9w, device:0
mistralai-mixtral-8x7b-3473-v90-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v90-mkmlizer: quantized model in 72.900s
mistralai-mixtral-8x7b-3473-v90-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 282.066s
mistralai-mixtral-8x7b-3473-v90-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v90-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v90-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v90
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v90/config.json
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v90/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v90/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v90/tokenizer.json
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v90/tokenizer.model
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v90/flywheel_model.5.safetensors
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v90/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v90/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v90/flywheel_model.4.safetensors
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v90/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v90/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v90-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:950: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v90-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v90-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:778: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v90-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v90-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-v90-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v90-mkmlizer: 
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mistralai-mixtral-8x7b-3473-v90-mkmlizer: Saving duration: 1.390s
mistralai-mixtral-8x7b-3473-v90-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 19.603s
mistralai-mixtral-8x7b-3473-v90-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v90-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v90-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v90_reward
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v90_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v90_reward/config.json
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v90_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v90_reward/merges.txt
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v90_reward/vocab.json
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v90_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v90-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v90_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v90-mkmlizer completed after 354.26s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v90-mkmlizer
Pipeline stage MKMLizer completed in 355.61s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v90
Waiting for inference service mistralai-mixtral-8x7b-3473-v90 to be ready
Inference service mistralai-mixtral-8x7b-3473-v90 ready after 83.51166105270386s
Pipeline stage ISVCDeployer completed in 86.28s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.0096311569213867s
Received healthy response to inference request in 1.8902034759521484s
Received healthy response to inference request in 1.9639408588409424s
Received healthy response to inference request in 1.667097806930542s
Received healthy response to inference request in 1.093386173248291s
5 requests
0 failed requests
5th percentile: 1.2081284999847413
10th percentile: 1.3228708267211915
20th percentile: 1.5523554801940918
30th percentile: 1.7117189407348632
40th percentile: 1.8009612083435058
50th percentile: 1.8902034759521484
60th percentile: 1.919698429107666
70th percentile: 1.9491933822631835
80th percentile: 2.1730789184570316
90th percentile: 2.591355037689209
95th percentile: 2.8004930973052975
99th percentile: 2.967803544998169
mean time: 1.924851894378662
Pipeline stage StressChecker completed in 10.47s
mistralai-mixtral-8x7b-_3473_v90 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b-_3473_v90 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mistralai-mixtral-8x7b-_3473_v90
Running pipeline stage ISVCDeleter
Checking if service mistralai-mixtral-8x7b-3473-v90 is running
Tearing down inference service mistralai-mixtral-8x7b-3473-v90
Service mistralai-mixtral-8x7b-3473-v90 has been torndown
Pipeline stage ISVCDeleter completed in 4.68s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v90/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v90/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v90/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v90/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v90/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v90/flywheel_model.4.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v90/flywheel_model.5.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v90/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v90/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v90/tokenizer.model from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v90/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v90_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v90_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v90_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v90_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v90_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v90_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v90_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 9.46s
mistralai-mixtral-8x7b-_3473_v90 status is now torndown due to DeploymentManager action