submission_id: mistralai-mixtral-8x7b-_3473_v15
developer_uid: chaiverse_console_tests
status: torndown
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
reward_repo: ChaiML/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', '</s>', '<|user|>', '###'], 'max_input_tokens': 2048, 'best_of': 1, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-04-09T21:45:38+00:00
model_name: mistralai-mixtral-8x7b-_3473_v15
model_eval_status: success
model_group: mistralai/Mixtral-8x7B-I
num_battles: 6658
num_wins: 3095
celo_rating: 1134.25
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MixtralForCausalLM
model_num_parameters: 46702792704.0
best_of: 1
max_input_tokens: 2048
max_output_tokens: 64
display_name: mistralai-mixtral-8x7b-_3473_v15
ineligible_reason: propriety_total_count < 800
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-09
win_ratio: 0.4648543106037849
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v15-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v15-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ _____ __ __ ║
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mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ Version: 0.8.6 ║
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ belonging to: ║
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ Chai Research Corp. ║
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v15-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v15-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-v15-mkmlizer: warnings.warn(warning_message, FutureWarning)
mistralai-mixtral-8x7b-3473-v15-mkmlizer: Downloaded to shared memory in 85.073s
mistralai-mixtral-8x7b-3473-v15-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v15-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v15-mkmlizer: quantized model in 51.587s
mistralai-mixtral-8x7b-3473-v15-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 142.282s
mistralai-mixtral-8x7b-3473-v15-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v15-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v15-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v15
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v15/config.json
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v15/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v15/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v15/tokenizer.model
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v15/tokenizer.json
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v15/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v15/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v15/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v15/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v15-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
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Please use `token` instead.
mistralai-mixtral-8x7b-3473-v15-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v15-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:720: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v15-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v15-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:466: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v15-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v15-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-v15-mkmlizer: return self.fget.__get__(instance, owner)()
mistralai-mixtral-8x7b-3473-v15-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v15-mkmlizer: Saving duration: 0.266s
mistralai-mixtral-8x7b-3473-v15-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.373s
mistralai-mixtral-8x7b-3473-v15-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v15-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v15-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v15_reward
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v15_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v15_reward/config.json
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v15_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v15_reward/merges.txt
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v15_reward/vocab.json
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v15_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v15-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v15_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v15-mkmlizer completed after 199.43s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v15-mkmlizer
Pipeline stage MKMLizer completed in 205.11s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v15
Waiting for inference service mistralai-mixtral-8x7b-3473-v15 to be ready
Inference service mistralai-mixtral-8x7b-3473-v15 ready after 70.39022898674011s
Pipeline stage ISVCDeployer completed in 78.63s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9784510135650635s
Received healthy response to inference request in 1.347376823425293s
Received healthy response to inference request in 1.7282977104187012s
Received healthy response to inference request in 1.9111969470977783s
Received healthy response to inference request in 1.2107324600219727s
5 requests
0 failed requests
5th percentile: 1.2380613327026366
10th percentile: 1.2653902053833008
20th percentile: 1.320047950744629
30th percentile: 1.4235610008239745
40th percentile: 1.5759293556213378
50th percentile: 1.7282977104187012
60th percentile: 1.801457405090332
70th percentile: 1.874617099761963
80th percentile: 2.1246477603912357
90th percentile: 2.5515493869781496
95th percentile: 2.765000200271606
99th percentile: 2.935760850906372
mean time: 1.8352109909057617
Pipeline stage StressChecker completed in 9.87s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
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_v15 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b-_3473_v15 status is now inactive due to admin request
mistralai-mixtral-8x7b-_3473_v15 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mistralai-mixtral-8x7b-_3473_v15
Running pipeline stage ISVCDeleter
Checking if service mistralai-mixtral-8x7b-3473-v15 is running
Tearing down inference service mistralai-mixtral-8x7b-3473-v15
admin requested tearing down of mlabonne-ultramerge-7b_v1
Toredown service mistralai-mixtral-8x7b-3473-v15
Running pipeline stage ISVCDeleter
Pipeline stage ISVCDeleter completed in 3.57s
Running pipeline stage MKMLModelDeleter
Checking if service mlabonne-ultramerge-7b-v1 is running
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v15/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v15/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v15/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v15/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Tearing down inference service mlabonne-ultramerge-7b-v1
Toredown service mlabonne-ultramerge-7b-v1
Pipeline stage ISVCDeleter completed in 3.92s
Running pipeline stage MKMLModelDeleter
admin requested tearing down of nitral-ai-eris-primev4-4_7044_v2
Cleaning model data from S3
Running pipeline stage ISVCDeleter
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v15/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Checking if service nitral-ai-eris-primev4-4-7044-v2 is running
Deleting key mlabonne-ultramerge-7b-v1/config.json from bucket guanaco-mkml-models
Deleting key mlabonne-ultramerge-7b-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v15/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v15/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v15/tokenizer.model from bucket guanaco-mkml-models
Deleting key mlabonne-ultramerge-7b-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v15/tokenizer_config.json from bucket guanaco-mkml-models
Deleting key mlabonne-ultramerge-7b-v1/tokenizer.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mlabonne-ultramerge-7b-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key mlabonne-ultramerge-7b-v1/tokenizer_config.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v15_reward/config.json from bucket guanaco-reward-models
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v15_reward/merges.txt from bucket guanaco-reward-models
Deleting key mlabonne-ultramerge-7b-v1_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v15_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mlabonne-ultramerge-7b-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v15_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mlabonne-ultramerge-7b-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v15_reward/tokenizer.json from bucket guanaco-reward-models
Tearing down inference service nitral-ai-eris-primev4-4-7044-v2
Deleting key mlabonne-ultramerge-7b-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v15_reward/tokenizer_config.json from bucket guanaco-reward-models
Toredown service nitral-ai-eris-primev4-4-7044-v2
Deleting key mlabonne-ultramerge-7b-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v15_reward/vocab.json from bucket guanaco-reward-models
Deleting key mlabonne-ultramerge-7b-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Pipeline stage ISVCDeleter completed in 4.22s
Pipeline stage MKMLModelDeleter completed in 8.55s
Deleting key mlabonne-ultramerge-7b-v1_reward/vocab.json from bucket guanaco-reward-models
Running pipeline stage MKMLModelDeleter
mistralai-mixtral-8x7b-_3473_v15 status is now torndown due to DeploymentManager action
Pipeline stage MKMLModelDeleter completed in 5.39s

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