mistralai-mixtral-8x7b-_3473

submission_id: mistralai-mixtral-8x7b-_3473_v38
developer_uid: alexdaoud
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': True}
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': 512, 'best_of': 4, 'max_output_tokens': 64}
model_eval_status: error
model_name: mistralai-mixtral-8x7b-_3473_v38
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
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: rejected
timestamp: 2024-05-15T23:38:57+00:00
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v38-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v38-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║     _____            __           __                                ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║       /___/                                                         ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  Version: 0.8.14                                                    ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  belonging to:                                                      ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v38-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-v38-mkmlizer:   warnings.warn(warning_message, FutureWarning)
mistralai-mixtral-8x7b-3473-v38-mkmlizer: Traceback (most recent call last):
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 509, in http_get
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     hf_transfer.download(
mistralai-mixtral-8x7b-3473-v38-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/56/dd/16e268abfb7cc19cbdf5c/67e0596920fe543415c0191e867a9a7de942a2924d6277cd98c8c5b34e11e436", query: Some("response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27model-00004-of-00019.safetensors%3B+filename%3D%22model-00004-of-00019.safetensors%22%3B&Expires=1716074132&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxNjA3NDEzMn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzU2L2RkLzU2ZGRkYmE5NDY2NGUwZDgzZjJiMzNhMjAxZWJkNTkyZWM0OWViYWVmZDExNmUyNjhhYmZiN2NjMTljYmRmNWMvNjdlMDU5NjkyMGZlNTQzNDE1YzAxOTFlODY3YTlhN2RlOTQyYTI5MjRkNjI3N2NkOThjOGM1YjM0ZTExZTQzNj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSoifV19&Signature=Al3Nt%7EFn-5M%7E1CBrF2279u5G534Bsu9qIcMWmqnRliiRZX2nZxgAXhMnUPbYB9G64hH1GxxAsfDGDfU2fWOaMGferrfAJiH6Zqh7%7ESCTvlMcJ%7Ebi-wDgpA%7EIs1ECBWHjn3eGdeJdL5QXx5B3c0p4kkTWuG61uz0IuCwH3co-J8BIKWqJsFw%7Ek5Dnf4ZAZXRQM93a8KE2oETnUTRAwhGL9PRgcRQWtGH82eq63bBThq23Z96KA87H14PNCdh0-iIjrzP0KhlAcXB7cfsISGAwOM8EXg5nmVFgbY0e-lrKyu5RQGKRmV23Nz2p2SGPugtqE-VxzySM1ga14OkAJW8s9w__&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" })) }
mistralai-mixtral-8x7b-3473-v38-mkmlizer: The above exception was the direct cause of the following exception:
mistralai-mixtral-8x7b-3473-v38-mkmlizer: Traceback (most recent call last):
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/code/uploading/mkmlize.py", line 151, in <module>
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     cli()
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1128, in __call__
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     return self.main(*args, **kwargs)
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1053, in main
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     rv = self.invoke(ctx)
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1659, in invoke
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     return _process_result(sub_ctx.command.invoke(sub_ctx))
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 1395, in invoke
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     return ctx.invoke(self.callback, **ctx.params)
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/click/core.py", line 754, in invoke
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     return __callback(*args, **kwargs)
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/code/uploading/mkmlize.py", line 38, in quantize
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     temp_folder = download_to_shared_memory(repo_id, revision, hf_auth_token)
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/code/uploading/mkmlize.py", line 65, in download_to_shared_memory
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     snapshot_download(
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     return fn(*args, **kwargs)
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 314, in snapshot_download
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     _inner_hf_hub_download(file)
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/_snapshot_download.py", line 290, in _inner_hf_hub_download
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     return hf_hub_download(
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     return fn(*args, **kwargs)
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 1492, in hf_hub_download
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     http_get(
mistralai-mixtral-8x7b-3473-v38-mkmlizer:   File "/opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py", line 520, in http_get
mistralai-mixtral-8x7b-3473-v38-mkmlizer:     raise RuntimeError(
mistralai-mixtral-8x7b-3473-v38-mkmlizer: RuntimeError: An error occurred while downloading using `hf_transfer`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling.
Job mistralai-mixtral-8x7b-3473-v38-mkmlizer completed after 103.78s with status: failed
Stopping job with name mistralai-mixtral-8x7b-3473-v38-mkmlizer
%s, retrying in %s seconds...
Starting job with name mistralai-mixtral-8x7b-3473-v38-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v38-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║     _____            __           __                                ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║       /___/                                                         ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  Version: 0.8.14                                                    ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  belonging to:                                                      ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ║                                                                     ║
mistralai-mixtral-8x7b-3473-v38-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v38-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-v38-mkmlizer:   warnings.warn(warning_message, FutureWarning)
mistralai-mixtral-8x7b-3473-v38-mkmlizer: unable to retrieve container logs for containerd://35b64ed7e5ea1920b5f96
mistralai-mixtral-8x7b-3473-v38-mkmlizer: Downloaded to shared memory in 81.886s
mistralai-mixtral-8x7b-3473-v38-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v38-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v38-mkmlizer: quantized model in 55.031s
mistralai-mixtral-8x7b-3473-v38-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 143.910s
mistralai-mixtral-8x7b-3473-v38-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v38-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v38-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v38
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v38/tokenizer.model
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v38/config.json
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v38/tokenizer.json
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v38/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v38/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v38/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v38/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v38/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v38/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v38-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
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/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-v38-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v38-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-v38-mkmlizer:   warnings.warn(
mistralai-mixtral-8x7b-3473-v38-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-v38-mkmlizer:   return self.fget.__get__(instance, owner)()
mistralai-mixtral-8x7b-3473-v38-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v38-mkmlizer: Saving duration: 0.285s
mistralai-mixtral-8x7b-3473-v38-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 8.759s
mistralai-mixtral-8x7b-3473-v38-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v38-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v38-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v38_reward
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v38_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v38_reward/config.json
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v38_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v38_reward/merges.txt
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v38_reward/vocab.json
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v38_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v38-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v38_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v38-mkmlizer completed after 186.65s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v38-mkmlizer
Pipeline stage MKMLizer completed in 294.14s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v38
Waiting for inference service mistralai-mixtral-8x7b-3473-v38 to be ready
Inference service mistralai-mixtral-8x7b-3473-v38 ready after 50.30576753616333s
Pipeline stage ISVCDeployer completed in 57.39s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0882749557495117s
Received healthy response to inference request in 0.9954836368560791s
Received healthy response to inference request in 1.0517444610595703s
Received healthy response to inference request in 0.8747632503509521s
Received healthy response to inference request in 0.9835431575775146s
5 requests
0 failed requests
5th percentile: 0.8965192317962647
10th percentile: 0.9182752132415771
20th percentile: 0.9617871761322021
30th percentile: 0.9859312534332275
40th percentile: 0.9907074451446534
50th percentile: 0.9954836368560791
60th percentile: 1.0179879665374756
70th percentile: 1.040492296218872
80th percentile: 1.2590505599975588
90th percentile: 1.6736627578735352
95th percentile: 1.8809688568115233
99th percentile: 2.046813735961914
mean time: 1.1987618923187255
Pipeline stage StressChecker completed in 7.52s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.07s
%s, retrying in %s seconds...
M-Eval Dataset for topic stay_in_character is loaded
mistralai-mixtral-8x7b-_3473_v38 status is now deployed due to DeploymentManager action
%s, retrying in %s seconds...
mistralai-mixtral-8x7b-_3473_v38 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.