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lm-evaluation-harness/wandb/run-20240514_114140-3myl7vfa/files/output.log

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+
+2024-05-14:11:41:40,823 INFO     [__main__.py:251] Verbosity set to INFO
+2024-05-14:11:41:46,727 INFO     [__main__.py:335] Selected Tasks: ['indiccopa-hi']
+2024-05-14:11:41:46,732 INFO     [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2024-05-14:11:41:46,733 INFO     [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/data/cronscript/ckpts//hf_ckpt//global_step100'}
+/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/core/register.py:145: UserWarning: "hpu:X" notation is not supported by Gaudi PyTorch intergration bridge. Please change to "hpu" without index (Triggered internally at /npu-stack/pytorch-integration/pytorch_helpers/lazy_to_backend.cpp:53.)
+  return func(*args, **kwargs)
+/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/torch/cuda/memory.py:36: UserWarning: No need to call empty_cache on HPU. It manages the memory internally in an effcient way.
+  warnings.warn(
+/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/hpu/__init__.py:158: UserWarning: torch.hpu.setDeterministic is deprecated and will be removed in next release. Please use torch.use_deterministic_algorithms instead.
+  warnings.warn(
+You are using the default legacy behaviour of the <class 'transformers.models.llama.tokenization_llama.LlamaTokenizer'>. This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thoroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565
+2024-05-14:11:41:58,864 WARNING  [task.py:763] [Task: indiccopa-hi] metric acc is defined, but aggregation is not. using default aggregation=mean
+2024-05-14:11:41:58,864 WARNING  [task.py:775] [Task: indiccopa-hi] metric acc is defined, but higher_is_better is not. using default higher_is_better=True
+[2024-05-14 11:41:58,485] [INFO] [real_accelerator.py:178:get_accelerator] Setting ds_accelerator to hpu (auto detect)
+/usr/local/lib/python3.10/dist-packages/datasets/load.py:1486: FutureWarning: The repository for ai4bharat/IndicCOPA contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/ai4bharat/IndicCOPA
+You can avoid this message in future by passing the argument `trust_remote_code=True`.
+Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
+  warnings.warn(
+2024-05-14:11:42:00,053 WARNING  [task.py:322] [Task: indiccopa-hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+2024-05-14:11:42:00,053 WARNING  [task.py:322] [Task: indiccopa-hi] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+2024-05-14:11:42:00,072 INFO     [task.py:395] Building contexts for indiccopa-hi on rank 3...
+100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 56/56 [00:00<00:00, 108540.21it/s]
+Passed argument batch_size = auto:1. Detecting largest batch size
+2024-05-14:11:42:01,857 INFO     [evaluator.py:379] Running loglikelihood requests
+/usr/local/lib/python3.10/dist-packages/habana_frameworks/torch/gpu_migration/torch/cuda/memory.py:36: UserWarning: No need to call empty_cache on HPU. It manages the memory internally in an effcient way.
+  warnings.warn(
+Determined largest batch size: 64

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lm-evaluation-harness/wandb/run-20240522_185422-zh0ccxj5/files/output.log

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+
+2024-05-22:18:54:23,706 INFO     [__main__.py:251] Verbosity set to INFO
+2024-05-22:18:54:32,197 INFO     [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande']
+2024-05-22:18:54:32,198 INFO     [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2024-05-22:18:54:32,198 INFO     [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step16000'}
+2024-05-22:18:54:34,550 INFO     [huggingface.py:164] Using device 'cuda'
+Traceback (most recent call last):
+  File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in <module>
+    cli_evaluate()
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
+    return fn(*args, **kwargs)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate
+    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string
+    return cls(**args, **args2)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
+    self._get_config(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config
+    self._config = transformers.AutoConfig.from_pretrained(
+  File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained
+    config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 370, in cached_file
+    raise EnvironmentError(
+OSError: /mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step16000 does not appear to have a file named config.json. Checkout 'https://huggingface.co//mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step16000/tree/main' for available files.

lm-evaluation-harness/wandb/run-20240522_185422-zh0ccxj5/files/requirements.txt

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+lightning==2.2.0.post0
+lm_eval==0.4.2
+lm_eval==0.4.2
+lm_eval==0.4.2
+lxml==5.2.2
+mbstrdecoder==1.1.3
+more-itertools==10.2.0
+mpi4py==3.1.4
+mpmath==1.3.0
+multidict==6.0.5
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+networkx==3.3
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+numexpr==2.10.0
+numpy==1.23.5
+oauthlib==3.2.2
+packaging==24.0
+pandas==2.0.1
+pathspec==0.12.1
+pathvalidate==3.2.0
+peft==0.11.1
+perfetto==0.7.0
+pillow==10.3.0
+pip==22.0.2
+pip==23.3.1
+platformdirs==4.2.1
+pluggy==1.5.0
+portalocker==2.8.2
+pre-commit==3.3.3
+pretty-errors==1.2.25
+protobuf==3.20.3
+psutil==5.9.8
+py-cpuinfo==9.0.0
+pyarrow-hotfix==0.6
+pyarrow==16.1.0
+pyasn1==0.6.0
+pyasn1_modules==0.4.0
+pybind11==2.10.4
+pycparser==2.22
+pydantic==1.10.13
+pynvml==8.0.4
+pytablewriter==1.2.0
+pytest==8.2.0
+python-dateutil==2.9.0.post0
+pytorch-lightning==2.2.4
+pytz==2024.1
+regex==2023.5.5
+requests-oauthlib==2.0.0
+requests==2.31.0
+rouge_score==0.1.2
+rsa==4.9
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+tokenizers==0.19.1
+tomli==2.0.1
+torch==2.2.0a0+git8964477
+torch_tb_profiler==0.4.0
+torchaudio==2.2.0+08901ad
+torchdata==0.7.1+5e6f7b7
+torchmetrics==1.4.0
+torchtext==0.17.0+400da5c
+torchvision==0.17.0+b2383d4
+tqdm-multiprocess==0.0.11
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+typepy==1.3.2
+typing_extensions==4.11.0
+tzdata==2024.1
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+wheel==0.43.0
+word2number==1.1
+xxhash==3.4.1
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lm-evaluation-harness/wandb/run-20240523_123233-gdvgjem8/files/output.log

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+
+2024-05-23:12:32:34,528 INFO     [__main__.py:251] Verbosity set to INFO
+2024-05-23:12:32:42,944 INFO     [__main__.py:335] Selected Tasks: ['arc_easy', 'hellaswag', 'mrpc', 'openbookqa', 'sst2', 'winogrande']
+2024-05-23:12:32:42,945 INFO     [evaluator.py:131] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+2024-05-23:12:32:42,945 INFO     [evaluator.py:177] Initializing hf model, with arguments: {'pretrained': '/mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step18000'}
+2024-05-23:12:32:45,281 INFO     [huggingface.py:164] Using device 'cuda'
+Traceback (most recent call last):
+  File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
+    return _run_code(code, main_globals, None,
+  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
+    exec(code, run_globals)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 417, in <module>
+    cli_evaluate()
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/__main__.py", line 341, in cli_evaluate
+    results = evaluator.simple_evaluate(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/utils.py", line 288, in _wrapper
+    return fn(*args, **kwargs)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/evaluator.py", line 180, in simple_evaluate
+    lm = lm_eval.api.registry.get_model(model).create_from_arg_string(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/api/model.py", line 134, in create_from_arg_string
+    return cls(**args, **args2)
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 190, in __init__
+    self._get_config(
+  File "/mnt/weka/peacock/idc/cronscript/lm-evaluation-harness/lm_eval/models/huggingface.py", line 471, in _get_config
+    self._config = transformers.AutoConfig.from_pretrained(
+  File "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/configuration_auto.py", line 934, in from_pretrained
+    config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 632, in get_config_dict
+    config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
+  File "/usr/local/lib/python3.10/dist-packages/transformers/configuration_utils.py", line 689, in _get_config_dict
+    resolved_config_file = cached_file(
+  File "/usr/local/lib/python3.10/dist-packages/transformers/utils/hub.py", line 370, in cached_file
+    raise EnvironmentError(
+OSError: /mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step18000 does not appear to have a file named config.json. Checkout 'https://huggingface.co//mnt/weka/peacock/experiments/llama/checkpoint/llamav2-3b//hf_ckpt//global_step18000/tree/main' for available files.

lm-evaluation-harness/wandb/run-20240523_123233-gdvgjem8/files/requirements.txt

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+GitPython==3.1.43
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+dill==0.3.8
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+fsspec==2024.3.1
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+google-auth==2.29.0
+grpcio==1.63.0
+habana-media-loader==1.15.1.15
+habana-pyhlml==1.15.1.15
+habana-torch-dataloader==1.15.1.15
+habana-torch-plugin==1.15.1.15
+habana_gpu_migration==1.15.1.15
+habana_quantization_toolkit==1.15.1.15
+hjson==3.1.0
+huggingface-hub==0.23.1
+identify==2.5.36
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+jsonlines==4.0.0
+lightning-habana==1.4.0
+lightning-utilities==0.11.2
+lightning==2.2.0.post0
+lm_eval==0.4.2
+lm_eval==0.4.2
+lm_eval==0.4.2
+lxml==5.2.2
+mbstrdecoder==1.1.3
+more-itertools==10.2.0
+mpi4py==3.1.4
+mpmath==1.3.0
+multidict==6.0.5
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+networkx==3.3
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+numpy==1.23.5
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+typepy==1.3.2
+typing_extensions==4.11.0
+tzdata==2024.1
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venv/lib/python3.10/site-packages/huggingface_hub-0.22.2.dist-info/INSTALLER

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venv/lib/python3.10/site-packages/huggingface_hub-0.22.2.dist-info/LICENSE

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venv/lib/python3.10/site-packages/huggingface_hub-0.22.2.dist-info/METADATA

@@ -0,0 +1,296 @@
+Metadata-Version: 2.1
+Name: huggingface-hub
+Version: 0.22.2
+Summary: Client library to download and publish models, datasets and other repos on the huggingface.co hub
+Home-page: https://github.com/huggingface/huggingface_hub
+Author: Hugging Face, Inc.
+Author-email: [email protected]
+License: Apache
+Keywords: model-hub machine-learning models natural-language-processing deep-learning pytorch pretrained-models
+Platform: UNKNOWN
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Education
+Classifier: Intended Audience :: Science/Research
+Classifier: License :: OSI Approved :: Apache Software License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3 :: Only
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
+Requires-Python: >=3.8.0
+Description-Content-Type: text/markdown
+License-File: LICENSE
+Requires-Dist: filelock
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+Requires-Dist: types-tqdm ; extra == 'dev'
+Requires-Dist: types-urllib3 ; extra == 'dev'
+Provides-Extra: fastai
+Requires-Dist: toml ; extra == 'fastai'
+Requires-Dist: fastai >=2.4 ; extra == 'fastai'
+Requires-Dist: fastcore >=1.3.27 ; extra == 'fastai'
+Provides-Extra: hf_transfer
+Requires-Dist: hf-transfer >=0.1.4 ; extra == 'hf_transfer'
+Provides-Extra: inference
+Requires-Dist: aiohttp ; extra == 'inference'
+Requires-Dist: minijinja >=1.0 ; extra == 'inference'
+Provides-Extra: quality
+Requires-Dist: ruff >=0.3.0 ; extra == 'quality'
+Requires-Dist: mypy ==1.5.1 ; extra == 'quality'
+Provides-Extra: tensorflow
+Requires-Dist: tensorflow ; extra == 'tensorflow'
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+Provides-Extra: tensorflow-testing
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+Requires-Dist: Jinja2 ; extra == 'testing'
+Requires-Dist: pytest ; extra == 'testing'
+Requires-Dist: pytest-cov ; extra == 'testing'
+Requires-Dist: pytest-env ; extra == 'testing'
+Requires-Dist: pytest-xdist ; extra == 'testing'
+Requires-Dist: pytest-vcr ; extra == 'testing'
+Requires-Dist: pytest-asyncio ; extra == 'testing'
+Requires-Dist: pytest-rerunfailures ; extra == 'testing'
+Requires-Dist: urllib3 <2.0 ; extra == 'testing'
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+Requires-Dist: Pillow ; extra == 'testing'
+Requires-Dist: gradio ; extra == 'testing'
+Requires-Dist: numpy ; extra == 'testing'
+Provides-Extra: torch
+Requires-Dist: torch ; extra == 'torch'
+Requires-Dist: safetensors ; extra == 'torch'
+Provides-Extra: typing
+Requires-Dist: typing-extensions >=4.8.0 ; extra == 'typing'
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+Requires-Dist: types-toml ; extra == 'typing'
+Requires-Dist: types-tqdm ; extra == 'typing'
+Requires-Dist: types-urllib3 ; extra == 'typing'
+
+<p align="center">
+  <br/>
+    <img alt="huggingface_hub library logo" src="https://huggingface.co/datasets/huggingface/documentation-images/raw/main/huggingface_hub.svg" width="376" height="59" style="max-width: 100%;">
+  <br/>
+</p>
+
+<p align="center">
+    <i>The official Python client for the Huggingface Hub.</i>
+</p>
+
+<p align="center">
+    <a href="https://huggingface.co/docs/huggingface_hub/en/index"><img alt="Documentation" src="https://img.shields.io/website/http/huggingface.co/docs/huggingface_hub/index.svg?down_color=red&down_message=offline&up_message=online&label=doc"></a>
+    <a href="https://github.com/huggingface/huggingface_hub/releases"><img alt="GitHub release" src="https://img.shields.io/github/release/huggingface/huggingface_hub.svg"></a>
+    <a href="https://github.com/huggingface/huggingface_hub"><img alt="PyPi version" src="https://img.shields.io/pypi/pyversions/huggingface_hub.svg"></a>
+    <a href="https://pypi.org/project/huggingface-hub"><img alt="downloads" src="https://static.pepy.tech/badge/huggingface_hub/month"></a>
+    <a href="https://codecov.io/gh/huggingface/huggingface_hub"><img alt="Code coverage" src="https://codecov.io/gh/huggingface/huggingface_hub/branch/main/graph/badge.svg?token=RXP95LE2XL"></a>
+</p>
+
+<h4 align="center">
+    <p>
+        <b>English</b> |
+        <a href="https://github.com/huggingface/huggingface_hub/blob/main/README_de.md">Deutsch</a> |
+        <a href="https://github.com/huggingface/huggingface_hub/blob/main/README_hi.md">हिंदी</a> |
+        <a href="https://github.com/huggingface/huggingface_hub/blob/main/README_ko.md">한국어</a> |
+        <a href="https://github.com/huggingface/huggingface_hub/blob/main/README_cn.md">中文（简体）</a>
+    <p>
+</h4>
+---
+
+**Documentation**: <a href="https://hf.co/docs/huggingface_hub" target="_blank">https://hf.co/docs/huggingface_hub</a>
+
+**Source Code**: <a href="https://github.com/huggingface/huggingface_hub" target="_blank">https://github.com/huggingface/huggingface_hub</a>
+
+---
+
+## Welcome to the huggingface_hub library
+
+The `huggingface_hub` library allows you to interact with the [Hugging Face Hub](https://huggingface.co/), a platform democratizing open-source Machine Learning for creators and collaborators. Discover pre-trained models and datasets for your projects or play with the thousands of machine learning apps hosted on the Hub. You can also create and share your own models, datasets and demos with the community. The `huggingface_hub` library provides a simple way to do all these things with Python.
+
+## Key features
+
+- [Download files](https://huggingface.co/docs/huggingface_hub/en/guides/download) from the Hub.
+- [Upload files](https://huggingface.co/docs/huggingface_hub/en/guides/upload) to the Hub.
+- [Manage your repositories](https://huggingface.co/docs/huggingface_hub/en/guides/repository).
+- [Run Inference](https://huggingface.co/docs/huggingface_hub/en/guides/inference) on deployed models.
+- [Search](https://huggingface.co/docs/huggingface_hub/en/guides/search) for models, datasets and Spaces.
+- [Share Model Cards](https://huggingface.co/docs/huggingface_hub/en/guides/model-cards) to document your models.
+- [Engage with the community](https://huggingface.co/docs/huggingface_hub/en/guides/community) through PRs and comments.
+
+## Installation
+
+Install the `huggingface_hub` package with [pip](https://pypi.org/project/huggingface-hub/):
+
+```bash
+pip install huggingface_hub
+```
+
+If you prefer, you can also install it with [conda](https://huggingface.co/docs/huggingface_hub/en/installation#install-with-conda).
+
+In order to keep the package minimal by default, `huggingface_hub` comes with optional dependencies useful for some use cases. For example, if you want have a complete experience for Inference, run:
+
+```bash
+pip install huggingface_hub[inference]
+```
+
+To learn more installation and optional dependencies, check out the [installation guide](https://huggingface.co/docs/huggingface_hub/en/installation).
+
+## Quick start
+
+### Download files
+
+Download a single file
+
+```py
+from huggingface_hub import hf_hub_download
+
+hf_hub_download(repo_id="tiiuae/falcon-7b-instruct", filename="config.json")
+```
+
+Or an entire repository
+
+```py
+from huggingface_hub import snapshot_download
+
+snapshot_download("stabilityai/stable-diffusion-2-1")
+```
+
+Files will be downloaded in a local cache folder. More details in [this guide](https://huggingface.co/docs/huggingface_hub/en/guides/manage-cache).
+
+### Login
+
+The Hugging Face Hub uses tokens to authenticate applications (see [docs](https://huggingface.co/docs/hub/security-tokens)). To login your machine, run the following CLI:
+
+```bash
+huggingface-cli login
+# or using an environment variable
+huggingface-cli login --token $HUGGINGFACE_TOKEN
+```
+
+### Create a repository
+
+```py
+from huggingface_hub import create_repo
+
+create_repo(repo_id="super-cool-model")
+```
+
+### Upload files
+
+Upload a single file
+
+```py
+from huggingface_hub import upload_file
+
+upload_file(
+    path_or_fileobj="/home/lysandre/dummy-test/README.md",
+    path_in_repo="README.md",
+    repo_id="lysandre/test-model",
+)
+```
+
+Or an entire folder
+
+```py
+from huggingface_hub import upload_folder
+
+upload_folder(
+    folder_path="/path/to/local/space",
+    repo_id="username/my-cool-space",
+    repo_type="space",
+)
+```
+
+For details in the [upload guide](https://huggingface.co/docs/huggingface_hub/en/guides/upload).
+
+## Integrating to the Hub.
+
+We're partnering with cool open source ML libraries to provide free model hosting and versioning. You can find the existing integrations [here](https://huggingface.co/docs/hub/libraries).
+
+The advantages are:
+
+- Free model or dataset hosting for libraries and their users.
+- Built-in file versioning, even with very large files, thanks to a git-based approach.
+- Serverless inference API for all models publicly available.
+- In-browser widgets to play with the uploaded models.
+- Anyone can upload a new model for your library, they just need to add the corresponding tag for the model to be discoverable.
+- Fast downloads! We use Cloudfront (a CDN) to geo-replicate downloads so they're blazing fast from anywhere on the globe.
+- Usage stats and more features to come.
+
+If you would like to integrate your library, feel free to open an issue to begin the discussion. We wrote a [step-by-step guide](https://huggingface.co/docs/hub/adding-a-library) with ❤️ showing how to do this integration.
+
+## Contributions (feature requests, bugs, etc.) are super welcome 💙💚💛💜🧡❤️
+
+Everyone is welcome to contribute, and we value everybody's contribution. Code is not the only way to help the community.
+Answering questions, helping others, reaching out and improving the documentations are immensely valuable to the community.
+We wrote a [contribution guide](https://github.com/huggingface/huggingface_hub/blob/main/CONTRIBUTING.md) to summarize
+how to get started to contribute to this repository.
+
+

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venv/lib/python3.10/site-packages/huggingface_hub-0.22.2.dist-info/WHEEL

@@ -0,0 +1,5 @@
+Wheel-Version: 1.0
+Generator: bdist_wheel (0.43.0)
+Root-Is-Purelib: true
+Tag: py3-none-any
+

venv/lib/python3.10/site-packages/huggingface_hub-0.22.2.dist-info/entry_points.txt

@@ -0,0 +1,6 @@
+[console_scripts]
+huggingface-cli = huggingface_hub.commands.huggingface_cli:main
+
+[fsspec.specs]
+hf=huggingface_hub.HfFileSystem
+

venv/lib/python3.10/site-packages/huggingface_hub-0.22.2.dist-info/top_level.txt

@@ -0,0 +1 @@
+huggingface_hub

venv/lib/python3.10/site-packages/mbstrdecoder/__init__.py

@@ -0,0 +1,13 @@
+"""
+.. codeauthor:: Tsuyoshi Hombashi <[email protected]>
+"""
+
+from .__version__ import __author__, __copyright__, __email__, __license__, __version__
+from ._func import detect_file_encoding
+from ._mbstrdecoder import MultiByteStrDecoder
+
+
+__all__ = (
+    "detect_file_encoding",
+    "MultiByteStrDecoder",
+)

venv/lib/python3.10/site-packages/mbstrdecoder/__version__.py

@@ -0,0 +1,6 @@
+__author__ = "Tsuyoshi Hombashi"
+__copyright__ = f"Copyright 2016, {__author__}"
+__license__ = "MIT License"
+__version__ = "1.1.3"
+__maintainer__ = __author__
+__email__ = "[email protected]"

venv/lib/python3.10/site-packages/mbstrdecoder/_binary_ext_checker.py

@@ -0,0 +1,264 @@
+"""
+.. codeauthor:: Tsuyoshi Hombashi <[email protected]>
+"""
+
+import os.path
+
+
+# list from https://github.com/sindresorhus/binary-extensions
+binary_exts = (
+    "3dm",
+    "3ds",
+    "3g2",
+    "3gp",
+    "7z",
+    "a",
+    "aac",
+    "adp",
+    "ai",
+    "aif",
+    "aiff",
+    "alz",
+    "ape",
+    "apk",
+    "ar",
+    "arj",
+    "asf",
+    "au",
+    "avi",
+    "bak",
+    "baml",
+    "bh",
+    "bin",
+    "bk",
+    "bmp",
+    "btif",
+    "bz2",
+    "bzip2",
+    "cab",
+    "caf",
+    "cgm",
+    "class",
+    "cmx",
+    "cpio",
+    "cr2",
+    "cur",
+    "dat",
+    "dcm",
+    "deb",
+    "dex",
+    "djvu",
+    "dll",
+    "dmg",
+    "dng",
+    "doc",
+    "docm",
+    "docx",
+    "dot",
+    "dotm",
+    "dra",
+    "DS_Store",
+    "dsk",
+    "dts",
+    "dtshd",
+    "dvb",
+    "dwg",
+    "dxf",
+    "ecelp4800",
+    "ecelp7470",
+    "ecelp9600",
+    "egg",
+    "eol",
+    "eot",
+    "epub",
+    "exe",
+    "f4v",
+    "fbs",
+    "fh",
+    "fla",
+    "flac",
+    "fli",
+    "flv",
+    "fpx",
+    "fst",
+    "fvt",
+    "g3",
+    "gh",
+    "gif",
+    "graffle",
+    "gz",
+    "gzip",
+    "h261",
+    "h263",
+    "h264",
+    "icns",
+    "ico",
+    "ief",
+    "img",
+    "ipa",
+    "iso",
+    "jar",
+    "jpeg",
+    "jpg",
+    "jpgv",
+    "jpm",
+    "jxr",
+    "key",
+    "ktx",
+    "lha",
+    "lib",
+    "lvp",
+    "lz",
+    "lzh",
+    "lzma",
+    "lzo",
+    "m3u",
+    "m4a",
+    "m4v",
+    "mar",
+    "mdi",
+    "mht",
+    "mid",
+    "midi",
+    "mj2",
+    "mka",
+    "mkv",
+    "mmr",
+    "mng",
+    "mobi",
+    "mov",
+    "movie",
+    "mp3",
+    "mp4",
+    "mp4a",
+    "mpeg",
+    "mpg",
+    "mpga",
+    "mxu",
+    "nef",
+    "npx",
+    "numbers",
+    "nupkg",
+    "o",
+    "oga",
+    "ogg",
+    "ogv",
+    "otf",
+    "pages",
+    "pbm",
+    "pcx",
+    "pdb",
+    "pdf",
+    "pea",
+    "pgm",
+    "pic",
+    "png",
+    "pnm",
+    "pot",
+    "potm",
+    "potx",
+    "ppa",
+    "ppam",
+    "ppm",
+    "pps",
+    "ppsm",
+    "ppsx",
+    "ppt",
+    "pptm",
+    "pptx",
+    "psd",
+    "pya",
+    "pyc",
+    "pyo",
+    "pyv",
+    "qt",
+    "rar",
+    "ras",
+    "raw",
+    "resources",
+    "rgb",
+    "rip",
+    "rlc",
+    "rmf",
+    "rmvb",
+    "rtf",
+    "rz",
+    "s3m",
+    "s7z",
+    "scpt",
+    "sgi",
+    "shar",
+    "sil",
+    "sketch",
+    "slk",
+    "smv",
+    "snk",
+    "so",
+    "stl",
+    "suo",
+    "sub",
+    "swf",
+    "tar",
+    "tbz",
+    "tbz2",
+    "tga",
+    "tgz",
+    "thmx",
+    "tif",
+    "tiff",
+    "tlz",
+    "ttc",
+    "ttf",
+    "txz",
+    "udf",
+    "uvh",
+    "uvi",
+    "uvm",
+    "uvp",
+    "uvs",
+    "uvu",
+    "viv",
+    "vob",
+    "war",
+    "wav",
+    "wax",
+    "wbmp",
+    "wdp",
+    "weba",
+    "webm",
+    "webp",
+    "whl",
+    "wim",
+    "wm",
+    "wma",
+    "wmv",
+    "wmx",
+    "woff",
+    "woff2",
+    "wrm",
+    "wvx",
+    "xbm",
+    "xif",
+    "xla",
+    "xlam",
+    "xls",
+    "xlsb",
+    "xlsm",
+    "xlsx",
+    "xlt",
+    "xltm",
+    "xltx",
+    "xm",
+    "xmind",
+    "xpi",
+    "xpm",
+    "xwd",
+    "xz",
+    "z",
+    "zip",
+    "zipx",
+)
+
+
+def is_binary_ext_path(filepath) -> bool:
+    return os.path.splitext(filepath)[1].lstrip(".") in binary_exts

venv/lib/python3.10/site-packages/mbstrdecoder/_func.py

@@ -0,0 +1,56 @@
+"""
+.. codeauthor:: Tsuyoshi Hombashi <[email protected]>
+"""
+
+import os
+import stat
+from errno import EBADF, ENOENT, ENOTDIR
+from typing import Optional, Union
+
+from ._binary_ext_checker import is_binary_ext_path
+
+
+def is_fifo(file_path: Union[int, bytes, str]) -> bool:
+    try:
+        return stat.S_ISFIFO(os.stat(file_path).st_mode)
+    except OSError as e:
+        if e.errno not in (ENOENT, ENOTDIR, EBADF):
+            raise
+
+        return False
+    except ValueError:
+        return False
+
+
+def to_codec_name(name: Optional[str]) -> Optional[str]:
+    if not name:
+        return None
+
+    return name.lower().replace("-", "_")
+
+
+def detect_file_encoding(file_path) -> Optional[str]:
+    from chardet.universaldetector import UniversalDetector
+
+    if not os.path.isfile(file_path) or is_binary_ext_path(file_path) or is_fifo(file_path):
+        return None
+
+    detector = UniversalDetector()
+    READ_SIZE = 4 * 1024
+
+    try:
+        with open(file_path, mode="rb") as f:
+            while True:
+                binary = f.read(READ_SIZE)
+                if not binary:
+                    break
+
+                detector.feed(binary)
+                if detector.done:
+                    break
+    except OSError:
+        return None
+    finally:
+        detector.close()
+
+    return to_codec_name(detector.result.get("encoding"))

venv/lib/python3.10/site-packages/mbstrdecoder/_mbstrdecoder.py

@@ -0,0 +1,291 @@
+"""
+.. codeauthor:: Tsuyoshi Hombashi <[email protected]>
+"""
+
+import copy
+import re
+from typing import List, Optional, Sequence
+
+from ._func import to_codec_name
+
+
+def b(s: str) -> bytes:
+    return s.encode("latin-1")
+
+
+class MultiByteStrDecoder:
+    """
+    Reference:
+        https://docs.python.org/3/library/codecs.html
+    """
+
+    __CODECS = [
+        "utf_7",
+        "utf_8",
+        "utf_8_sig",
+        "utf_16",
+        "utf_16_be",
+        "utf_16_le",
+        "utf_32",
+        "utf_32_be",
+        "utf_32_le",
+        "big5",
+        "big5hkscs",
+        "cp037",
+        "cp424",
+        "cp437",
+        "cp500",
+        "cp720",
+        "cp737",
+        "cp775",
+        "cp850",
+        "cp852",
+        "cp855",
+        "cp856",
+        "cp857",
+        "cp858",
+        "cp860",
+        "cp861",
+        "cp862",
+        "cp863",
+        "cp864",
+        "cp865",
+        "cp866",
+        "cp869",
+        "cp874",
+        "cp875",
+        "cp932",
+        "cp949",
+        "cp950",
+        "cp1006",
+        "cp1026",
+        "cp1140",
+        "cp1250",
+        "cp1251",
+        "cp1252",
+        "cp1253",
+        "cp1254",
+        "cp1255",
+        "cp1256",
+        "cp1257",
+        "cp1258",
+        "euc_jp",
+        "euc_jis_2004",
+        "euc_jisx0213",
+        "euc_kr",
+        "gb2312",
+        "gbk",
+        "gb18030",
+        "hz",
+        "iso2022_jp",
+        "iso2022_jp_1",
+        "iso2022_jp_2",
+        "iso2022_jp_2004",
+        "iso2022_jp_3",
+        "iso2022_jp_ext",
+        "iso2022_kr",
+        "latin_1",
+        "iso8859_2",
+        "iso8859_3",
+        "iso8859_4",
+        "iso8859_5",
+        "iso8859_6",
+        "iso8859_7",
+        "iso8859_8",
+        "iso8859_9",
+        "iso8859_10",
+        "iso8859_11",
+        "iso8859_13",
+        "iso8859_14",
+        "iso8859_15",
+        "iso8859_16",
+        "johab",
+        "koi8_r",
+        "koi8_u",
+        "mac_cyrillic",
+        "mac_greek",
+        "mac_iceland",
+        "mac_latin2",
+        "mac_roman",
+        "mac_turkish",
+        "ptcp154",
+        "shift_jis",
+        "shift_jis_2004",
+        "shift_jisx0213",
+        "base64_codec",
+        "bz2_codec",
+        "hex_codec",
+        "idna",
+        "mbcs",
+        "palmos",
+        "punycode",
+        "quopri_codec",
+        "raw_unicode_escape",
+        "rot_13",
+        "string_escape",
+        "unicode_escape",
+        "unicode_internal",
+        "uu_codec",
+        "zlib_codec",
+    ]
+    __RE_UTF7 = re.compile(b("[+].*?[-]"))
+
+    @property
+    def unicode_str(self) -> str:
+        return self.__unicode_str
+
+    @property
+    def codec(self) -> Optional[str]:
+        return self.__codec
+
+    def __init__(self, value, codec_candidates: Optional[Sequence[str]] = None) -> None:
+        self.__encoded_str = value
+        self.__codec: Optional[str] = None
+        if codec_candidates is None:
+            self.__codec_candidate_list: List[str] = []
+        else:
+            self.__codec_candidate_list = list(codec_candidates)
+
+        self.__validate_str()
+
+        self.__unicode_str = self.__to_unicode()
+
+    def __repr__(self) -> str:
+        return f"codec={self.codec:s}, unicode={self.unicode_str:s}"
+
+    def __validate_str(self) -> None:
+        if isinstance(self.__encoded_str, (str, bytes)):
+            return
+
+        raise ValueError(f"value must be a string: actual={type(self.__encoded_str)}")
+
+    def __is_buffer(self) -> bool:
+        return isinstance(self.__encoded_str, memoryview)
+
+    def __is_multibyte_utf7(self, encoded_str) -> bool:
+        if self.__codec != "utf_7":
+            return False
+
+        utf7_symbol_count = encoded_str.count(b("+"))
+        if utf7_symbol_count <= 0:
+            return False
+
+        if utf7_symbol_count != encoded_str.count(b("-")):
+            return False
+
+        return utf7_symbol_count == len(self.__RE_UTF7.findall(encoded_str))
+
+    def __get_encoded_str(self) -> str:
+        if self.__is_buffer():
+            return str(self.__encoded_str)
+
+        return self.__encoded_str
+
+    @staticmethod
+    def __detect_encoding_helper(encoded_str) -> Optional[str]:
+        import chardet
+
+        try:
+            detect = chardet.detect(encoded_str)
+        except TypeError:
+            detect = {}  # type: ignore
+
+        detect_encoding = detect.get("encoding")
+        confidence = detect.get("confidence")
+
+        if detect_encoding not in ["ascii", "utf-8"] and confidence and confidence > 0.7:
+            # utf7 tend to be misrecognized as ascii
+            return detect_encoding
+
+        return None
+
+    def __get_codec_candidate_list(self, encoded_str) -> List[str]:
+        codec_candidate_list = copy.deepcopy(self.__CODECS)
+        detect_encoding = self.__detect_encoding_helper(encoded_str)
+
+        if detect_encoding:
+            try:
+                codec_candidate_list.remove(detect_encoding)
+            except ValueError:
+                pass
+
+            codec_candidate_list.insert(0, detect_encoding)
+
+        for codec_candidate in self.__codec_candidate_list:
+            try:
+                codec_candidate_list.remove(codec_candidate)
+            except ValueError:
+                pass
+
+        return self.__codec_candidate_list + codec_candidate_list
+
+    def __to_unicode(self):
+        encoded_str = self.__get_encoded_str()
+
+        if encoded_str == b"":
+            self.__codec = "unicode"
+            return ""
+
+        for codec in self.__get_codec_candidate_list(encoded_str):
+            if not codec:
+                continue
+
+            try:
+                self.__codec = to_codec_name(codec)
+                decoded_str = encoded_str.decode(codec)
+                break
+            except UnicodeDecodeError:
+                self.__codec = None
+                continue
+            except AttributeError:
+                if isinstance(encoded_str, str):
+                    # already a unicode string (python 3)
+                    self.__codec = "unicode"
+
+                    if not encoded_str:
+                        return encoded_str
+
+                    return encoded_str
+
+                self.__codec = None
+
+                try:
+                    return f"{encoded_str}"
+                except UnicodeDecodeError:
+                    # some of the objects that cannot convertible to a string
+                    # may reach this line
+                    raise TypeError("argument must be a string")
+        else:
+            self.__codec = None
+
+            try:
+                message = f"unknown codec: encoded_str={encoded_str}"
+            except UnicodeDecodeError:
+                message = f"unknown codec: value-type={type(encoded_str)}"
+
+            raise UnicodeDecodeError(message)
+
+        if self.codec == "utf_7":
+            return self.__process_utf7(encoded_str, decoded_str)
+
+        return decoded_str
+
+    def __process_utf7(self, encoded_str, decoded_str) -> str:
+        if not encoded_str:
+            self.__codec = "unicode"
+
+            return encoded_str
+
+        if self.__is_multibyte_utf7(encoded_str):
+            try:
+                decoded_str.encode("ascii")
+
+                self.__codec = "ascii"
+
+                return encoded_str.decode("ascii")
+            except UnicodeEncodeError:
+                return decoded_str
+
+        self.__codec = "ascii"
+
+        return encoded_str.decode("ascii")