sao10k-l3-rp-v3-3

submission_id: sao10k-l3-rp-v3-3_v8
developer_uid: chai_backend_admin
best_of: 8
celo_rating: 1212.88
display_name: sao10k-l3-rp-v3-3_v8
family_friendly_score: 0.0
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>,', '<|eot_id|>,', '\n\n{user_name}'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
is_internal_developer: True
language_model: Sao10K/L3-RP-v3.3
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Sao10K/L3-RP-v3.3
model_name: sao10k-l3-rp-v3-3_v8
model_num_parameters: 8030261248.0
model_repo: Sao10K/L3-RP-v3.3
model_size: 8B
num_battles: 4369086
num_wins: 2375489
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-06-25T15:37:16+00:00
us_pacific_date: 2024-06-25
win_ratio: 0.5437038776531293
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sao10k-l3-rp-v3-3-v8-mkmlizer
Waiting for job on sao10k-l3-rp-v3-3-v8-mkmlizer to finish
sao10k-l3-rp-v3-3-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-l3-rp-v3-3-v8-mkmlizer: ║     _____            __           __                                ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║       /___/                                                         ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║                                                                     ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  Version: 0.8.14                                                    ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  https://mk1.ai                                                     ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║                                                                     ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  The license key for the current software has been verified as      ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  belonging to:                                                      ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║                                                                     ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  Chai Research Corp.                                                ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║                                                                     ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-l3-rp-v3-3-v8-mkmlizer: Traceback (most recent call last):
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 513, in http_get
sao10k-l3-rp-v3-3-v8-mkmlizer:     hf_transfer.download(
sao10k-l3-rp-v3-3-v8-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/c1/9a/755b4f618a270849fad7a/74c433cba455c958e337b84f6d27593c04d7e6ca6e84c3ea9f780f373d9f10c5", query: Some("response-content-disposition=inline%3B+filename*%3DUTF-8%27%27model-00002-of-00004.safetensors%3B+filename%3D%22model-00002-of-00004.safetensors%22%3B&Expires=1719589078&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxOTU4OTA3OH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zL2MxLzlhL2MxOWFmNjhiMjVlYTA1ODdlM2FhYWE5Y2UyOWJhZjcyMmE4NzA2MmU2NTk3NTViNGY2MThhMjcwODQ5ZmFkN2EvNzRjNDMzY2JhNDU1Yzk1OGUzMzdiODRmNmQyNzU5M2MwNGQ3ZTZjYTZlODRjM2VhOWY3ODBmMzczZDlmMTBjNT9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=ibGilNQnQZiyqUKcpJkX7gitgTSe7q2-ipjSoxH188tLiEJEGBHfkr7r5TEk4p8SB3M58VgsArlqYy%7Exm%7EMfgBld-ZV%7Et%7Eh2L1vfyExdan08podj99HchjOZS19lO7gD4SsLqFt6NThYAsNRTUOdm8YbPiSbpz88z8O7m9s3EFZzGTCiqxfl%7EgRe-7k1G-PUQbEzg-Q4I%7ELaItVvb0UKBQKEhQ7XBtxvbn3BgMFvCj6dE5YOoAWyG11i1cRs4HnxE9JLibOeUU4eyZIgWNrKxn7IdHxFGuMHWzC7Qrt4kCcJccye6Lidu7nNI6Cnj0SZwCljISxC0M2oumXq-dIiGQ__&Key-Pair-Id=K2FPYV99P2N66Q"), fragment: None }, source: hyper::Error(Connect, ConnectError("dns error", Custom { kind: Uncategorized, error: "failed to lookup address information: Temporary failure in name resolution" })) }
sao10k-l3-rp-v3-3-v8-mkmlizer: The above exception was the direct cause of the following exception:
sao10k-l3-rp-v3-3-v8-mkmlizer: Traceback (most recent call last):
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/code/uploading/mkmlize.py", line 151, in <module>
sao10k-l3-rp-v3-3-v8-mkmlizer:     cli()
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1128, in __call__
sao10k-l3-rp-v3-3-v8-mkmlizer:     return self.main(*args, **kwargs)
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1053, in main
sao10k-l3-rp-v3-3-v8-mkmlizer:     rv = self.invoke(ctx)
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1659, in invoke
sao10k-l3-rp-v3-3-v8-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1395, in invoke
sao10k-l3-rp-v3-3-v8-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 754, in invoke
sao10k-l3-rp-v3-3-v8-mkmlizer:     return __callback(*args, **kwargs)
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/code/uploading/mkmlize.py", line 38, in quantize
sao10k-l3-rp-v3-3-v8-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/code/uploading/mkmlize.py", line 65, in download_to_shared_memory
sao10k-l3-rp-v3-3-v8-mkmlizer:     snapshot_download(
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
sao10k-l3-rp-v3-3-v8-mkmlizer:     return fn(*args, **kwargs)
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 292, in snapshot_download
sao10k-l3-rp-v3-3-v8-mkmlizer:     _inner_hf_hub_download(file)
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 268, in _inner_hf_hub_download
sao10k-l3-rp-v3-3-v8-mkmlizer:     return hf_hub_download(
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
sao10k-l3-rp-v3-3-v8-mkmlizer:     return fn(*args, **kwargs)
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1202, in hf_hub_download
sao10k-l3-rp-v3-3-v8-mkmlizer:     return _hf_hub_download_to_local_dir(
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1487, in _hf_hub_download_to_local_dir
sao10k-l3-rp-v3-3-v8-mkmlizer:     _download_to_tmp_and_move(
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1884, in _download_to_tmp_and_move
sao10k-l3-rp-v3-3-v8-mkmlizer:     http_get(
sao10k-l3-rp-v3-3-v8-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 524, in http_get
sao10k-l3-rp-v3-3-v8-mkmlizer:     raise RuntimeError(
sao10k-l3-rp-v3-3-v8-mkmlizer: RuntimeError: An error occurred while downloading using `hf_transfer`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.
Job sao10k-l3-rp-v3-3-v8-mkmlizer completed after 61.56s with status: failed
Stopping job with name sao10k-l3-rp-v3-3-v8-mkmlizer
%s, retrying in %s seconds...
Starting job with name sao10k-l3-rp-v3-3-v8-mkmlizer
Waiting for job on sao10k-l3-rp-v3-3-v8-mkmlizer to finish
sao10k-l3-rp-v3-3-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-l3-rp-v3-3-v8-mkmlizer: ║     _____            __           __                                ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║       /___/                                                         ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║                                                                     ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  Version: 0.8.14                                                    ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  https://mk1.ai                                                     ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║                                                                     ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  The license key for the current software has been verified as      ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  belonging to:                                                      ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║                                                                     ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  Chai Research Corp.                                                ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ║                                                                     ║
sao10k-l3-rp-v3-3-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-l3-rp-v3-3-v8-mkmlizer: Downloaded to shared memory in 27.218s
sao10k-l3-rp-v3-3-v8-mkmlizer: quantizing model to /dev/shm/model_cache
sao10k-l3-rp-v3-3-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-l3-rp-v3-3-v8-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
sao10k-l3-rp-v3-3-v8-mkmlizer: quantized model in 28.762s
sao10k-l3-rp-v3-3-v8-mkmlizer: Processed model Sao10K/L3-RP-v3.3 in 55.980s
sao10k-l3-rp-v3-3-v8-mkmlizer: creating bucket guanaco-mkml-models
sao10k-l3-rp-v3-3-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-l3-rp-v3-3-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v8
sao10k-l3-rp-v3-3-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v8/config.json
sao10k-l3-rp-v3-3-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v8/special_tokens_map.json
sao10k-l3-rp-v3-3-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v8/tokenizer_config.json
sao10k-l3-rp-v3-3-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v8/tokenizer.json
sao10k-l3-rp-v3-3-v8-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
sao10k-l3-rp-v3-3-v8-mkmlizer: /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.
sao10k-l3-rp-v3-3-v8-mkmlizer:   warnings.warn(
sao10k-l3-rp-v3-3-v8-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`.
sao10k-l3-rp-v3-3-v8-mkmlizer:   warnings.warn(
sao10k-l3-rp-v3-3-v8-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.
sao10k-l3-rp-v3-3-v8-mkmlizer:   warnings.warn(
sao10k-l3-rp-v3-3-v8-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.
sao10k-l3-rp-v3-3-v8-mkmlizer:   warnings.warn(
sao10k-l3-rp-v3-3-v8-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()
sao10k-l3-rp-v3-3-v8-mkmlizer:   return self.fget.__get__(instance, owner)()
sao10k-l3-rp-v3-3-v8-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sao10k-l3-rp-v3-3-v8-mkmlizer: Saving duration: 0.400s
sao10k-l3-rp-v3-3-v8-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.377s
sao10k-l3-rp-v3-3-v8-mkmlizer: creating bucket guanaco-reward-models
sao10k-l3-rp-v3-3-v8-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sao10k-l3-rp-v3-3-v8-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v8_reward
sao10k-l3-rp-v3-3-v8-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v8_reward/config.json
sao10k-l3-rp-v3-3-v8-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v8_reward/special_tokens_map.json
sao10k-l3-rp-v3-3-v8-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v8_reward/tokenizer_config.json
sao10k-l3-rp-v3-3-v8-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v8_reward/merges.txt
sao10k-l3-rp-v3-3-v8-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v8_reward/vocab.json
sao10k-l3-rp-v3-3-v8-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v8_reward/tokenizer.json
sao10k-l3-rp-v3-3-v8-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v8_reward/reward.tensors
Job sao10k-l3-rp-v3-3-v8-mkmlizer completed after 226.97s with status: succeeded
Stopping job with name sao10k-l3-rp-v3-3-v8-mkmlizer
Pipeline stage MKMLizer completed in 291.41s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.47s
Running pipeline stage ISVCDeployer
Creating inference service sao10k-l3-rp-v3-3-v8
Waiting for inference service sao10k-l3-rp-v3-3-v8 to be ready
Inference service sao10k-l3-rp-v3-3-v8 ready after 30.584455966949463s
Pipeline stage ISVCDeployer completed in 31.95s
Running pipeline stage StressChecker
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.526998996734619s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.7759089469909668s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.8300509452819824s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.548546075820923s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.5919430255889893s
5 requests
0 failed requests
5th percentile: 1.7867373466491698
10th percentile: 1.797565746307373
20th percentile: 1.8192225456237794
30th percentile: 1.9694405555725099
40th percentile: 2.2482197761535643
50th percentile: 2.526998996734619
60th percentile: 2.5356178283691406
70th percentile: 2.544236660003662
80th percentile: 2.557225465774536
90th percentile: 2.5745842456817627
95th percentile: 2.583263635635376
99th percentile: 2.5902071475982664
mean time: 2.254689598083496
Pipeline stage StressChecker completed in 15.64s
sao10k-l3-rp-v3-3_v8 status is now deployed due to DeploymentManager action
sao10k-l3-rp-v3-3_v8 status is now deployed due to admin request
sao10k-l3-rp-v3-3_v8 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of sao10k-l3-rp-v3-3_v8
Running pipeline stage ISVCDeleter
Checking if service sao10k-l3-rp-v3-3-v8 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.79s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key sao10k-l3-rp-v3-3-v8/config.json from bucket guanaco-mkml-models
Deleting key sao10k-l3-rp-v3-3-v8/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key sao10k-l3-rp-v3-3-v8/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key sao10k-l3-rp-v3-3-v8/tokenizer.json from bucket guanaco-mkml-models
Deleting key sao10k-l3-rp-v3-3-v8/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key sao10k-l3-rp-v3-3-v8_reward/config.json from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v3-3-v8_reward/merges.txt from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v3-3-v8_reward/reward.tensors from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v3-3-v8_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v3-3-v8_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v3-3-v8_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key sao10k-l3-rp-v3-3-v8_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.87s
sao10k-l3-rp-v3-3_v8 status is now torndown due to DeploymentManager action