developer_uid: robert_irvine
submission_id: mistralai-mixtral-8x7b-_3473_v45
model_name: mistralai-mixtral-8x7b-_3473_v45
model_group: mistralai/Mixtral-8x7B-I
status: torndown
timestamp: 2024-06-06T18:42:41+00:00
num_battles: 9827
num_wins: 4852
celo_rating: 1164.69
family_friendly_score: 0.0
submission_type: basic
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
model_architecture: MixtralForCausalLM
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 46702792704.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: mistralai-mixtral-8x7b-_3473_v45
is_internal_developer: True
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
ranking_group: single
us_pacific_date: 2024-06-06
win_ratio: 0.4937417319629592
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 1000, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['</s>', '<|user|>', '###', '\n'], '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}.\nPlay the role of {bot_name}. Engage in a chat with {user_name} while staying in character. You should create a fun dialogue which entertains {user_name}.\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: {message}\n', 'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}
model_eval_status: success
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v45-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v45-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ _____ __ __ ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ Version: 0.8.14 ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ https://mk1.ai ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ belonging to: ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ Chai Research Corp. ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v45-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v45-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-v45-mkmlizer: warnings.warn(warning_message, FutureWarning)
mistralai-mixtral-8x7b-3473-v45-mkmlizer: Downloaded to shared memory in 88.010s
mistralai-mixtral-8x7b-3473-v45-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v45-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v45-mkmlizer: quantized model in 84.365s
mistralai-mixtral-8x7b-3473-v45-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 180.957s
mistralai-mixtral-8x7b-3473-v45-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v45/tokenizer.json
mistralai-mixtral-8x7b-3473-v45-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v45/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v45-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v45/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v45-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v45/config.json
mistralai-mixtral-8x7b-3473-v45-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v45/tokenizer.model
mistralai-mixtral-8x7b-3473-v45-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v45/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v45-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v45/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v45-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v45/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v45-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v45/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v45-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
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98%|█████████▊| 978/995 [01:13<00:00, 27.92it/s] Loading 0: 99%|█████████▉| 984/995 [01:13<00:00, 32.51it/s] /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-v45-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v45-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-v45-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v45-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-v45-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v45-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-v45-mkmlizer: return self.fget.__get__(instance, owner)()
mistralai-mixtral-8x7b-3473-v45-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v45-mkmlizer: Saving duration: 0.339s
mistralai-mixtral-8x7b-3473-v45-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 4.216s
mistralai-mixtral-8x7b-3473-v45-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v45-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v45_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v45-mkmlizer completed after 216.58s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v45-mkmlizer
Pipeline stage MKMLizer completed in 220.31s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v45
Waiting for inference service mistralai-mixtral-8x7b-3473-v45 to be ready
Inference service mistralai-mixtral-8x7b-3473-v45 ready after 131.4366648197174s
Pipeline stage ISVCDeployer completed in 138.71s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.660707473754883s
Received healthy response to inference request in 1.9916157722473145s
Received healthy response to inference request in 1.5376935005187988s
Received healthy response to inference request in 1.5733137130737305s
Received healthy response to inference request in 2.0247762203216553s
5 requests
0 failed requests
5th percentile: 1.5448175430297852
10th percentile: 1.5519415855407714
20th percentile: 1.566189670562744
30th percentile: 1.6569741249084473
40th percentile: 1.824294948577881
50th percentile: 1.9916157722473145
60th percentile: 2.004879951477051
70th percentile: 2.018144130706787
80th percentile: 2.151962471008301
90th percentile: 2.406334972381592
95th percentile: 2.533521223068237
99th percentile: 2.6352702236175536
mean time: 1.9576213359832764
Pipeline stage StressChecker completed in 10.49s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
mistralai-mixtral-8x7b-_3473_v45 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b-_3473_v45 status is now inactive due to admin request
admin requested tearing down of mistralai-mixtral-8x7b-_3473_v45
Running pipeline stage ISVCDeleter
Checking if service mistralai-mixtral-8x7b-3473-v45 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 2.22s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v45/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v45/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v45/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v45/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v45/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v45/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v45/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v45/tokenizer.model from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v45/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v45_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v45_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v45_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v45_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v45_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v45_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v45_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.36s
mistralai-mixtral-8x7b-_3473_v45 status is now torndown due to DeploymentManager action