submission_id: neversleep-noromaid-v0-_8068_v62
developer_uid: chai_backend_admin
best_of: 4
celo_rating: 1211.37
display_name: neversleep-noromaid-v0-_8068_v62
family_friendly_score: 0.0
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}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, '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: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
max_input_tokens: 512
max_output_tokens: 96
model_architecture: MixtralForCausalLM
model_eval_status: success
model_group: NeverSleep/Noromaid-v0.1
model_name: neversleep-noromaid-v0-_8068_v62
model_num_parameters: 46702792704.0
model_repo: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
model_size: 47B
num_battles: 1442347
num_wins: 792108
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: 2024-06-06T18:04:27+00:00
us_pacific_date: 2024-06-06
win_ratio: 0.5491799130167706
Resubmit model
Running pipeline stage MKMLizer
Starting job with name neversleep-noromaid-v0-8068-v62-mkmlizer
Waiting for job on neversleep-noromaid-v0-8068-v62-mkmlizer to finish
neversleep-noromaid-v0-8068-v62-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ _____ __ __ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ /___/ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ Version: 0.8.14 ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ https://mk1.ai ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ The license key for the current software has been verified as ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ belonging to: ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ Chai Research Corp. ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-noromaid-v0-8068-v62-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.
neversleep-noromaid-v0-8068-v62-mkmlizer: warnings.warn(warning_message, FutureWarning)
neversleep-noromaid-v0-8068-v62-mkmlizer: Traceback (most recent call last):
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 509, in http_get
neversleep-noromaid-v0-8068-v62-mkmlizer: hf_transfer.download(
neversleep-noromaid-v0-8068-v62-mkmlizer: Exception: Error while downloading: reqwest::Error { kind: Request, url: Url { scheme: "https", cannot_be_a_base: false, username: "", password: None, host: Some(Domain("cdn-lfs-us-1.huggingface.co")), port: None, path: "/repos/01/3a/02d1d6e09dbfb1f7393ab/885af9d95b351304dbc9804cee2155a4809107c419e1794fc071e18171ea31b2", query: Some("response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27pytorch_model-00011-of-00019.bin%3B+filename%3D%22pytorch_model-00011-of-00019.bin%22%3B&response-content-type=application%2Foctet-stream&Expires=1717956436&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxNzk1NjQzNn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzAxLzNhLzAxM2FjMmE1NDMyNzZmNTNiMTA4OGJlMmIzZGM2ODg0NDc4N2Y4YTAyYTIwMmQxZDZlMDlkYmZiMWY3MzkzYWIvODg1YWY5ZDk1YjM1MTMwNGRiYzk4MDRjZWUyMTU1YTQ4MDkxMDdjNDE5ZTE3OTRmYzA3MWUxODE3MWVhMzFiMj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoifV19&Signature=X6faUh2NP6YJvbR7RWOb0kDWGbiIM7JKMdCemDBPxRjrpesHZxgA7RjBOqFBsyoHhBSqz-Q%7EIbY2u4N0rK2s8RHQUqYavMYZYk-UapkqzdAi3WRzoqvrFc-BzkG51fkJ%7EsxAyAd8Pi3TTlB1wH7VUCGcoCi21YX2yTfXged3RGMlrp0S9bUaECwLXVoEZI87hjIzNG%7EJ1TzayiaS5mzfoRBLizBZJnhgSjfHcQ5UOYz21-Eykg3CDoT5t-5pVt25mpMHUB4zsa%7Ec%7EaaG%7ESdC59VmfZrVBX9KS1ai8Re-PbvBZFGSVCmTexEPI-rNMlHRH0Y9Ghtu%7EFZ8cx8rsmUgrw__&Key-Pair-Id=KCD77M1F0VK2B"), fragment: None }, source: hyper::Error(Connect, ConnectError("dns error", Custom { kind: Uncategorized, error: "failed to lookup address information: Temporary failure in name resolution" })) }
neversleep-noromaid-v0-8068-v62-mkmlizer: The above exception was the direct cause of the following exception:
neversleep-noromaid-v0-8068-v62-mkmlizer: Traceback (most recent call last):
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/code/uploading/mkmlize.py", line 151, in <module>
neversleep-noromaid-v0-8068-v62-mkmlizer: cli()
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1128, in __call__
neversleep-noromaid-v0-8068-v62-mkmlizer: return self.main(*args, **kwargs)
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1053, in main
neversleep-noromaid-v0-8068-v62-mkmlizer: rv = self.invoke(ctx)
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1659, in invoke
neversleep-noromaid-v0-8068-v62-mkmlizer: return _process_result(sub_ctx.command.invoke(sub_ctx))
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1395, in invoke
neversleep-noromaid-v0-8068-v62-mkmlizer: return ctx.invoke(self.callback, **ctx.params)
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 754, in invoke
neversleep-noromaid-v0-8068-v62-mkmlizer: return __callback(*args, **kwargs)
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/code/uploading/mkmlize.py", line 38, in quantize
neversleep-noromaid-v0-8068-v62-mkmlizer: temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/code/uploading/mkmlize.py", line 65, in download_to_shared_memory
neversleep-noromaid-v0-8068-v62-mkmlizer: snapshot_download(
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
neversleep-noromaid-v0-8068-v62-mkmlizer: return fn(*args, **kwargs)
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 314, in snapshot_download
neversleep-noromaid-v0-8068-v62-mkmlizer: _inner_hf_hub_download(file)
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 290, in _inner_hf_hub_download
neversleep-noromaid-v0-8068-v62-mkmlizer: return hf_hub_download(
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
neversleep-noromaid-v0-8068-v62-mkmlizer: return fn(*args, **kwargs)
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1492, in hf_hub_download
neversleep-noromaid-v0-8068-v62-mkmlizer: http_get(
neversleep-noromaid-v0-8068-v62-mkmlizer: File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 520, in http_get
neversleep-noromaid-v0-8068-v62-mkmlizer: raise RuntimeError(
neversleep-noromaid-v0-8068-v62-mkmlizer: RuntimeError: An error occurred while downloading using `hf_transfer`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.
Job neversleep-noromaid-v0-8068-v62-mkmlizer completed after 176.14s with status: failed
Stopping job with name neversleep-noromaid-v0-8068-v62-mkmlizer
%s, retrying in %s seconds...
Starting job with name neversleep-noromaid-v0-8068-v62-mkmlizer
Waiting for job on neversleep-noromaid-v0-8068-v62-mkmlizer to finish
neversleep-noromaid-v0-8068-v62-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ _____ __ __ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ /___/ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ Version: 0.8.14 ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ https://mk1.ai ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ The license key for the current software has been verified as ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ belonging to: ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ Chai Research Corp. ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v62-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-noromaid-v0-8068-v62-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.
neversleep-noromaid-v0-8068-v62-mkmlizer: warnings.warn(warning_message, FutureWarning)
neversleep-noromaid-v0-8068-v62-mkmlizer: Downloaded to shared memory in 132.815s
neversleep-noromaid-v0-8068-v62-mkmlizer: quantizing model to /dev/shm/model_cache
neversleep-noromaid-v0-8068-v62-mkmlizer: Saving flywheel model at /dev/shm/model_cache
neversleep-noromaid-v0-8068-v62-mkmlizer: quantized model in 79.350s
neversleep-noromaid-v0-8068-v62-mkmlizer: Processed model NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3 in 226.576s
neversleep-noromaid-v0-8068-v62-mkmlizer: creating bucket guanaco-mkml-models
neversleep-noromaid-v0-8068-v62-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-noromaid-v0-8068-v62-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v62
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v62/config.json
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v62/tokenizer_config.json
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v62/special_tokens_map.json
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v62/tokenizer.model
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v62/tokenizer.json
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v62/flywheel_model.3.safetensors
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v62/flywheel_model.0.safetensors
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v62/flywheel_model.1.safetensors
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v62/flywheel_model.2.safetensors
neversleep-noromaid-v0-8068-v62-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
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neversleep-noromaid-v0-8068-v62-mkmlizer: warnings.warn(
neversleep-noromaid-v0-8068-v62-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.
neversleep-noromaid-v0-8068-v62-mkmlizer: warnings.warn(
neversleep-noromaid-v0-8068-v62-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.
neversleep-noromaid-v0-8068-v62-mkmlizer: warnings.warn(
neversleep-noromaid-v0-8068-v62-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()
neversleep-noromaid-v0-8068-v62-mkmlizer: return self.fget.__get__(instance, owner)()
neversleep-noromaid-v0-8068-v62-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
neversleep-noromaid-v0-8068-v62-mkmlizer: Saving duration: 0.411s
neversleep-noromaid-v0-8068-v62-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 5.208s
neversleep-noromaid-v0-8068-v62-mkmlizer: creating bucket guanaco-reward-models
neversleep-noromaid-v0-8068-v62-mkmlizer: Bucket 's3://guanaco-reward-models/' created
neversleep-noromaid-v0-8068-v62-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v62_reward
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v62_reward/config.json
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v62_reward/special_tokens_map.json
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v62_reward/tokenizer_config.json
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v62_reward/merges.txt
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v62_reward/vocab.json
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v62_reward/tokenizer.json
neversleep-noromaid-v0-8068-v62-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/neversleep-noromaid-v0-8068-v62_reward/reward.tensors
Job neversleep-noromaid-v0-8068-v62-mkmlizer completed after 536.48s with status: succeeded
Stopping job with name neversleep-noromaid-v0-8068-v62-mkmlizer
Pipeline stage MKMLizer completed in 717.24s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.83s
Running pipeline stage ISVCDeployer
Creating inference service neversleep-noromaid-v0-8068-v62
Waiting for inference service neversleep-noromaid-v0-8068-v62 to be ready
Inference service neversleep-noromaid-v0-8068-v62 ready after 110.89754486083984s
Pipeline stage ISVCDeployer completed in 117.36s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.3786237239837646s
Received healthy response to inference request in 2.5859155654907227s
Received healthy response to inference request in 2.154500722885132s
Received healthy response to inference request in 2.971141815185547s
Received healthy response to inference request in 1.8391878604888916s
5 requests
0 failed requests
5th percentile: 1.9022504329681396
10th percentile: 1.9653130054473877
20th percentile: 2.091438150405884
30th percentile: 2.24078369140625
40th percentile: 2.4133496284484863
50th percentile: 2.5859155654907227
60th percentile: 2.7400060653686524
70th percentile: 2.8940965652465818
80th percentile: 3.0526381969451903
90th percentile: 3.2156309604644777
95th percentile: 3.297127342224121
99th percentile: 3.362324447631836
mean time: 2.5858739376068116
Pipeline stage StressChecker completed in 13.86s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.09s
neversleep-noromaid-v0-_8068_v62 status is now deployed due to DeploymentManager action
admin requested tearing down of neversleep-noromaid-v0-_8068_v62
Running pipeline stage ISVCDeleter
Checking if service neversleep-noromaid-v0-8068-v62 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 2.41s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-8068-v62/config.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v62/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v62/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v62/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v62/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v62/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v62/tokenizer.json from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v62/tokenizer.model from bucket guanaco-mkml-models
Deleting key neversleep-noromaid-v0-8068-v62/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key neversleep-noromaid-v0-8068-v62_reward/config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v62_reward/merges.txt from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v62_reward/reward.tensors from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v62_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v62_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v62_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key neversleep-noromaid-v0-8068-v62_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 7.46s
neversleep-noromaid-v0-_8068_v62 status is now torndown due to DeploymentManager action