mistralai-mixtral-8x7b-_3473

developer_uid: robert_irvine
submission_id: mistralai-mixtral-8x7b-_3473_v70
model_name: mistralai-mixtral-8x7b-_3473_v70
model_group: mistralai/Mixtral-8x7B-I
status: torndown
timestamp: 2024-07-10T18:32:31+00:00
num_battles: 33312
num_wins: 16612
celo_rating: 1170.04
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_v70
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: 0.49867915465898177
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 drama [/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-v70-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v70-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║     _____            __           __                                ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║       /___/                                                         ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║  Version: 0.8.14                                                    ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║  belonging to:                                                      ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v70-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v70-mkmlizer: Downloaded to shared memory in 207.214s
mistralai-mixtral-8x7b-3473-v70-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v70-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
mistralai-mixtral-8x7b-3473-v70-mkmlizer: quantized model in 97.573s
mistralai-mixtral-8x7b-3473-v70-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 304.787s
mistralai-mixtral-8x7b-3473-v70-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v70-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v70-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v70
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v70/config.json
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v70/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v70/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v70/tokenizer.model
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v70/tokenizer.json
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v70/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v70/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v70/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v70/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v70-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-v70-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v70-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-v70-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v70-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-v70-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v70-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-v70-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v70-mkmlizer: 
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mistralai-mixtral-8x7b-3473-v70-mkmlizer: 
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mistralai-mixtral-8x7b-3473-v70-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v70-mkmlizer: Saving duration: 2.154s
mistralai-mixtral-8x7b-3473-v70-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.027s
mistralai-mixtral-8x7b-3473-v70-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v70-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v70-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v70_reward
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v70_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v70_reward/config.json
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v70_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v70_reward/merges.txt
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v70_reward/vocab.json
mistralai-mixtral-8x7b-3473-v70-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v70_reward/tokenizer.json
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Job mistralai-mixtral-8x7b-3473-v70-mkmlizer completed after 381.23s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v70-mkmlizer
Pipeline stage MKMLizer completed in 382.26s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v70
Waiting for inference service mistralai-mixtral-8x7b-3473-v70 to be ready
Inference service mistralai-mixtral-8x7b-3473-v70 ready after 80.42373490333557s
Pipeline stage ISVCDeployer completed in 87.53s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.966655731201172s
Received healthy response to inference request in 2.3202133178710938s
Received healthy response to inference request in 2.330519914627075s
Received healthy response to inference request in 2.3856403827667236s
Received healthy response to inference request in 2.4244563579559326s
5 requests
0 failed requests
5th percentile: 2.32227463722229
10th percentile: 2.3243359565734862
20th percentile: 2.3284585952758787
30th percentile: 2.341544008255005
40th percentile: 2.363592195510864
50th percentile: 2.3856403827667236
60th percentile: 2.4011667728424073
70th percentile: 2.416693162918091
80th percentile: 2.5328962326049806
90th percentile: 2.7497759819030763
95th percentile: 2.858215856552124
99th percentile: 2.944967756271362
mean time: 2.4854971408843993
Pipeline stage StressChecker completed in 13.22s
mistralai-mixtral-8x7b-_3473_v70 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b-_3473_v70 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mistralai-mixtral-8x7b-_3473_v70
Running pipeline stage ISVCDeleter
Checking if service mistralai-mixtral-8x7b-3473-v70 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.84s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v70/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v70/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v70/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v70/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v70/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v70/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v70/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v70/tokenizer.model from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v70/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v70_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v70_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v70_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v70_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v70_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v70_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v70_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 10.34s
mistralai-mixtral-8x7b-_3473_v70 status is now torndown due to DeploymentManager action