mistralai-mixtral-8x7b-_3473

developer_uid: robert_irvine
submission_id: mistralai-mixtral-8x7b-_3473_v87
model_name: mistralai-mixtral-8x7b-_3473_v87
model_group: mistralai/Mixtral-8x7B-I
status: torndown
timestamp: 2024-07-15T17:50:30+00:00
num_battles: 218634
num_wins: 92116
celo_rating: 1160.37
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_v87
is_internal_developer: True
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
ranking_group: single
us_pacific_date: 2024-07-15
win_ratio: 0.4213251369869279
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': '[INST] respond intelligently [/INST]{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-v87-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v87-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║     _____            __           __                                ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║       /___/                                                         ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║  Version: 0.9.5.post2                                               ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║  belonging to:                                                      ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v87-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v87-mkmlizer: Downloaded to shared memory in 290.883s
mistralai-mixtral-8x7b-3473-v87-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v87-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v87-mkmlizer: quantized model in 97.846s
mistralai-mixtral-8x7b-3473-v87-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 388.730s
mistralai-mixtral-8x7b-3473-v87-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v87-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v87-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v87
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v87/config.json
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v87/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v87/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v87/tokenizer.model
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v87/tokenizer.json
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v87/flywheel_model.5.safetensors
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v87/flywheel_model.4.safetensors
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v87/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v87/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v87/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v87/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v87-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-v87-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v87-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-v87-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v87-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-v87-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v87-mkmlizer: 
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mistralai-mixtral-8x7b-3473-v87-mkmlizer: 
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mistralai-mixtral-8x7b-3473-v87-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v87-mkmlizer: Saving duration: 2.194s
mistralai-mixtral-8x7b-3473-v87-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 17.406s
mistralai-mixtral-8x7b-3473-v87-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v87-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v87-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v87_reward
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v87_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v87_reward/vocab.json
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v87_reward/config.json
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v87_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v87_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v87_reward/merges.txt
mistralai-mixtral-8x7b-3473-v87-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v87_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v87-mkmlizer completed after 453.73s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v87-mkmlizer
Pipeline stage MKMLizer completed in 454.72s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v87
Waiting for inference service mistralai-mixtral-8x7b-3473-v87 to be ready
Inference service mistralai-mixtral-8x7b-3473-v87 ready after 130.7323019504547s
Pipeline stage ISVCDeployer completed in 137.59s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.12207293510437s
Received healthy response to inference request in 1.2295222282409668s
Received healthy response to inference request in 1.4542338848114014s
Received healthy response to inference request in 2.0053513050079346s
Received healthy response to inference request in 1.8901331424713135s
5 requests
0 failed requests
5th percentile: 1.2744645595550537
10th percentile: 1.3194068908691405
20th percentile: 1.4092915534973145
30th percentile: 1.5414137363433837
40th percentile: 1.7157734394073487
50th percentile: 1.8901331424713135
60th percentile: 1.936220407485962
70th percentile: 1.9823076725006104
80th percentile: 2.2286956310272217
90th percentile: 2.675384283065796
95th percentile: 2.898728609085083
99th percentile: 3.0774040699005125
mean time: 1.9402626991271972
Pipeline stage StressChecker completed in 10.68s
mistralai-mixtral-8x7b-_3473_v87 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b-_3473_v87 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mistralai-mixtral-8x7b-_3473_v87
Running pipeline stage ISVCDeleter
Checking if service mistralai-mixtral-8x7b-3473-v87 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.00s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v87/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v87/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v87/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v87/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v87/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v87/flywheel_model.4.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v87/flywheel_model.5.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v87/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v87/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v87/tokenizer.model from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v87/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v87_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v87_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v87_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v87_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v87_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v87_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v87_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 9.66s
mistralai-mixtral-8x7b-_3473_v87 status is now torndown due to DeploymentManager action