submission_id: mistralai-mixtral-8x7b-_3473_v29
developer_uid: chaiverse_console_tests
status: torndown
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
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'], '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': '{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-04-27T00:53:47+00:00
model_name: mixtral_v3
model_eval_status: success
model_group: mistralai/Mixtral-8x7B-I
num_battles: 5686
num_wins: 2950
celo_rating: 1165.29
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MixtralForCausalLM
model_num_parameters: 46702792704.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: mixtral_v3
ineligible_reason: propriety_total_count < 800
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-26
win_ratio: 0.5188181498417165
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v29-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v29-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ _____ __ __ ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ Version: 0.8.10 ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ belonging to: ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ Chai Research Corp. ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v29-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v29-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-v29-mkmlizer: warnings.warn(warning_message, FutureWarning)
mistralai-mixtral-8x7b-3473-v29-mkmlizer: Downloaded to shared memory in 68.468s
mistralai-mixtral-8x7b-3473-v29-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v29-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v29-mkmlizer: quantized model in 50.748s
mistralai-mixtral-8x7b-3473-v29-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 125.233s
mistralai-mixtral-8x7b-3473-v29-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v29-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v29-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v29
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v29/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v29/config.json
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v29/tokenizer.model
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v29/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v29/tokenizer.json
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v29/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v29/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v29/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v29/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v29-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
mistralai-mixtral-8x7b-3473-v29-mkmlizer: Loading 0: 0%| | 0/995 [00:00<?, ?it/s] Loading 0: 7%|▋ | 66/995 [00:01<00:14, 65.31it/s] Loading 0: 14%|█▎ | 135/995 [00:02<00:12, 67.42it/s] Loading 0: 20%|██ | 201/995 [00:03<00:11, 66.43it/s] Loading 0: 27%|██▋ | 265/995 [00:04<00:12, 60.75it/s] Loading 0: 28%|██▊ | 282/995 [00:13<01:00, 11.74it/s] Loading 0: 35%|███▌ | 349/995 [00:14<00:36, 17.89it/s] Loading 0: 43%|████▎ | 423/995 [00:15<00:23, 24.74it/s] Loading 0: 50%|█████ | 500/995 [00:16<00:14, 33.02it/s] Loading 0: 56%|█████▋ | 561/995 [00:26<00:30, 14.40it/s] Loading 0: 63%|██████▎ | 630/995 [00:27<00:18, 19.34it/s] Loading 0: 69%|██████▉ | 691/995 [00:29<00:12, 23.44it/s] Loading 0: 76%|███████▋ | 760/995 [00:30<00:07, 29.68it/s] Loading 0: 76%|███████▋ | 760/995 [00:40<00:07, 29.68it/s] Loading 0: 85%|████████▍ | 842/995 [00:40<00:09, 15.40it/s] Loading 0: 90%|█████████ | 897/995 [00:41<00:05, 18.57it/s] Loading 0: 96%|█████████▌| 952/995 [00:43<00:02, 20.40it/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-v29-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v29-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-v29-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v29-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-v29-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v29-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-v29-mkmlizer: return self.fget.__get__(instance, owner)()
mistralai-mixtral-8x7b-3473-v29-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v29-mkmlizer: Saving duration: 0.268s
mistralai-mixtral-8x7b-3473-v29-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 7.950s
mistralai-mixtral-8x7b-3473-v29-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v29-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v29-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v29_reward
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v29_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v29_reward/config.json
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v29_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v29_reward/vocab.json
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v29_reward/merges.txt
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v29_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v29-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v29_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v29-mkmlizer completed after 166.62s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v29-mkmlizer
Pipeline stage MKMLizer completed in 171.56s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v29
Waiting for inference service mistralai-mixtral-8x7b-3473-v29 to be ready
Inference service mistralai-mixtral-8x7b-3473-v29 ready after 50.60002040863037s
Pipeline stage ISVCDeployer completed in 58.56s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.672312021255493s
Received healthy response to inference request in 1.9803466796875s
Received healthy response to inference request in 1.8067083358764648s
Received healthy response to inference request in 1.464400053024292s
Received healthy response to inference request in 1.5833799839019775s
5 requests
0 failed requests
5th percentile: 1.488196039199829
10th percentile: 1.5119920253753663
20th percentile: 1.5595839977264405
30th percentile: 1.628045654296875
40th percentile: 1.71737699508667
50th percentile: 1.8067083358764648
60th percentile: 1.8761636734008789
70th percentile: 1.9456190109252929
80th percentile: 2.118739748001099
90th percentile: 2.395525884628296
95th percentile: 2.533918952941894
99th percentile: 2.6446334075927735
mean time: 1.9014294147491455
Pipeline stage StressChecker completed in 10.19s
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 0.04s
%s, retrying in %s seconds...
M-Eval Dataset for topic stay_in_character is loaded
mistralai-mixtral-8x7b-_3473_v29 status is now deployed due to DeploymentManager action
%s, retrying in %s seconds...
mistralai-mixtral-8x7b-_3473_v29 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mistralai-mixtral-8x7b-_3473_v29
Running pipeline stage ISVCDeleter
Checking if service mistralai-mixtral-8x7b-3473-v29 is running
Tearing down inference service mistralai-mixtral-8x7b-3473-v29
Toredown service mistralai-mixtral-8x7b-3473-v29
Pipeline stage ISVCDeleter completed in 8.23s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v29/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v29/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v29/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v29/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v29/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v29/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v29/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v29/tokenizer.model from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v29/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v29_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v29_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v29_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v29_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v29_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v29_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v29_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.57s
mistralai-mixtral-8x7b-_3473_v29 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics