mistralai-mixtral-8x7b-_3473

developer_uid: robert_irvine
submission_id: mistralai-mixtral-8x7b-_3473_v75
model_name: mistralai-mixtral-8x7b-_3473_v75
model_group: mistralai/Mixtral-8x7B-I
status: torndown
timestamp: 2024-07-10T19:23:03+00:00
num_battles: 33930
num_wins: 14981
celo_rating: 1133.13
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_v75
is_internal_developer: True
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
ranking_group: single
us_pacific_date: 2024-07-10
win_ratio: 0.4415266725611553
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 with a personal question [/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-v75-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v75-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║     _____            __           __                                ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║       /___/                                                         ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║  Version: 0.8.14                                                    ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║  belonging to:                                                      ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v75-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v75-mkmlizer: Downloaded to shared memory in 265.697s
mistralai-mixtral-8x7b-3473-v75-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v75-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
mistralai-mixtral-8x7b-3473-v75-mkmlizer: quantized model in 116.730s
mistralai-mixtral-8x7b-3473-v75-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 382.426s
mistralai-mixtral-8x7b-3473-v75-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v75-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v75-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v75
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v75/tokenizer.json
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v75/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v75/config.json
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v75/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v75/tokenizer.model
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v75/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v75/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v75/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v75/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v75-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:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v75-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v75-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
mistralai-mixtral-8x7b-3473-v75-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v75-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v75-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v75-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v75-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v75-mkmlizer: 
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mistralai-mixtral-8x7b-3473-v75-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v75-mkmlizer: Saving duration: 2.853s
mistralai-mixtral-8x7b-3473-v75-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 16.538s
mistralai-mixtral-8x7b-3473-v75-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v75-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v75-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v75_reward
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v75_reward/config.json
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v75_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v75_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v75_reward/vocab.json
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v75_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v75_reward/merges.txt
mistralai-mixtral-8x7b-3473-v75-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v75_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v75-mkmlizer completed after 450.31s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v75-mkmlizer
Pipeline stage MKMLizer completed in 451.45s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v75
Waiting for inference service mistralai-mixtral-8x7b-3473-v75 to be ready
Inference service mistralai-mixtral-8x7b-3473-v75 ready after 70.43429160118103s
Pipeline stage ISVCDeployer completed in 77.52s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.1348230838775635s
Received healthy response to inference request in 1.3605494499206543s
Received healthy response to inference request in 2.1050732135772705s
Received healthy response to inference request in 1.4734463691711426s
Received healthy response to inference request in 1.0362005233764648s
5 requests
0 failed requests
5th percentile: 1.1010703086853026
10th percentile: 1.1659400939941407
20th percentile: 1.2956796646118165
30th percentile: 1.383128833770752
40th percentile: 1.4282876014709474
50th percentile: 1.4734463691711426
60th percentile: 1.7260971069335938
70th percentile: 1.978747844696045
80th percentile: 2.3110231876373293
90th percentile: 2.7229231357574464
95th percentile: 2.9288731098175047
99th percentile: 3.093633089065552
mean time: 1.822018527984619
Pipeline stage StressChecker completed in 9.95s
mistralai-mixtral-8x7b-_3473_v75 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b-_3473_v75 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mistralai-mixtral-8x7b-_3473_v75
Running pipeline stage ISVCDeleter
Checking if service mistralai-mixtral-8x7b-3473-v75 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.94s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v75/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v75/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v75/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v75/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v75/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v75/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v75/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v75/tokenizer.model from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v75/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v75_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v75_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v75_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v75_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v75_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v75_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v75_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 10.08s
mistralai-mixtral-8x7b-_3473_v75 status is now torndown due to DeploymentManager action