FineTune-Mistral

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0.1.14 FineTune_Mistral-0.1.14-py3-none-any.whl

Wheel Details

Project: FineTune-Mistral
Version: 0.1.14
Filename: FineTune_Mistral-0.1.14-py3-none-any.whl
Download: [link]
Size: 6922
MD5: 96c5867455454c3c4c62f33843e21421
SHA256: 96a891a57be2bdef1671d82c83a3722a7f9b393e3fc14b7896ee11a30c2fd85c
Uploaded: 2024-08-13 09:50:36 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: FineTune-Mistral
Version: 0.1.14
Summary: A package for fine-tuning Mistral model and generating responses.
Author: Mehrdad Almasi, Demival VASQUES FILHO, and Lars Wieneke
Author-Email: Mehrdad.al.2023[at]gmail.com, demival.vasques[at]uni.lu, lars.wieneke[at]gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: datasets (>=1.6.0)
Requires-Dist: transformers (>=4.6.0)
Requires-Dist: pandas (>=1.1.0)
Requires-Dist: peft
Requires-Dist: trl
Requires-Dist: bitsandbytes (>=0.26.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 5270 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
FineTune_Mistral/__init__.py sha256=BkHY82KR7LGxAw6WDXpcIVJajYUuFb9XR0KXstQztUg 41
FineTune_Mistral/fine_tune.py sha256=hSG8_-zUNZ4FvCdRQUiZAfEAOITic3MSmhN3XtGSb_Q 6486
FineTune_Mistral-0.1.14.dist-info/LICENSE sha256=nrb2nUih3XZOijPxSlhPRg087GU0d8E2qV3W35wkkhE 1055
FineTune_Mistral-0.1.14.dist-info/METADATA sha256=ZDMrgK_LNJ80B4gYIy-4xcbm8_AtMgEWJU5Av-5krx8 5972
FineTune_Mistral-0.1.14.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
FineTune_Mistral-0.1.14.dist-info/entry_points.txt sha256=drtTbw_TTMvdy4t9OtOcuV6C7i7ji6K_-49Gotta_zk 69
FineTune_Mistral-0.1.14.dist-info/top_level.txt sha256=CcAdP0O8IT_nPx5Lh0ryJw4c7We0hcIXXQ4jQXqZkNs 17
FineTune_Mistral-0.1.14.dist-info/RECORD

top_level.txt

FineTune_Mistral

entry_points.txt

finetune-mistral = FineTune_Mistral.fine_tune:main