mistralai-mixtral-8x7b-_3473

submission_id: mistralai-mixtral-8x7b-_3473_v42
developer_uid: chai_backend_admin
best_of: 4
celo_rating: 1183.17
display_name: mistralai-mixtral-8x7b-_3473_v42
family_friendly_score: 0.0
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}
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': 96}
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
max_input_tokens: 512
max_output_tokens: 96
model_architecture: MixtralForCausalLM
model_eval_status: success
model_group: mistralai/Mixtral-8x7B-I
model_name: mistralai-mixtral-8x7b-_3473_v42
model_num_parameters: 46702792704.0
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
num_battles: 1443316
num_wins: 725397
ranking_group: single
reward_formatter: {'bot_template': 'Bot: {message}\n', 'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-06-06T18:04:05+00:00
us_pacific_date: 2024-06-06
win_ratio: 0.5025905622885078
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v42-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v42-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║     _____            __           __                                ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║       /___/                                                         ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║  Version: 0.8.14                                                    ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║  belonging to:                                                      ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v42-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v42-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
mistralai-mixtral-8x7b-3473-v42-mkmlizer:   warnings.warn(warning_message, FutureWarning)
mistralai-mixtral-8x7b-3473-v42-mkmlizer: Downloaded to shared memory in 95.518s
mistralai-mixtral-8x7b-3473-v42-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v42-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v42-mkmlizer: quantized model in 92.451s
mistralai-mixtral-8x7b-3473-v42-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 196.391s
mistralai-mixtral-8x7b-3473-v42-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v42-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v42-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v42
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v42/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v42/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v42/config.json
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v42/tokenizer.model
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v42/tokenizer.json
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v42/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v42/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v42/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v42/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v42-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
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/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v42-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v42-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v42-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v42-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-v42-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v42-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly.  To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
mistralai-mixtral-8x7b-3473-v42-mkmlizer:   return self.fget.__get__(instance, owner)()
mistralai-mixtral-8x7b-3473-v42-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v42-mkmlizer: Saving duration: 0.348s
mistralai-mixtral-8x7b-3473-v42-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 6.343s
mistralai-mixtral-8x7b-3473-v42-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v42-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v42_reward
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v42_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v42_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v42_reward/config.json
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v42_reward/merges.txt
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v42_reward/vocab.json
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v42_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v42-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v42_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v42-mkmlizer completed after 237.97s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v42-mkmlizer
Pipeline stage MKMLizer completed in 242.14s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v42
Waiting for inference service mistralai-mixtral-8x7b-3473-v42 to be ready
Inference service mistralai-mixtral-8x7b-3473-v42 ready after 70.51265120506287s
Pipeline stage ISVCDeployer completed in 77.23s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.163954257965088s
Received healthy response to inference request in 1.4662401676177979s
Received healthy response to inference request in 1.415637731552124s
Received healthy response to inference request in 1.206146001815796s
Received healthy response to inference request in 1.9291281700134277s
5 requests
0 failed requests
5th percentile: 1.2480443477630616
10th percentile: 1.289942693710327
20th percentile: 1.3737393856048583
30th percentile: 1.4257582187652589
40th percentile: 1.4459991931915284
50th percentile: 1.4662401676177979
60th percentile: 1.6513953685760498
70th percentile: 1.8365505695343016
80th percentile: 1.9760933876037599
90th percentile: 2.0700238227844237
95th percentile: 2.1169890403747558
99th percentile: 2.1545612144470216
mean time: 1.6362212657928468
Pipeline stage StressChecker completed in 8.96s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
mistralai-mixtral-8x7b-_3473_v42 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
admin requested tearing down of mistralai-mixtral-8x7b-_3473_v42
Running pipeline stage ISVCDeleter
Checking if service mistralai-mixtral-8x7b-3473-v42 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 2.77s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v42/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v42/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v42/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v42/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v42/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v42/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v42/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v42/tokenizer.model from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v42/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v42_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v42_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v42_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v42_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v42_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v42_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v42_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.65s
mistralai-mixtral-8x7b-_3473_v42 status is now torndown due to DeploymentManager action