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llm-embedding-eval

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0.1 llm_embedding_eval-0.1-py3-none-any.whl

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Project: llm-embedding-eval
Version: 0.1
Filename: llm_embedding_eval-0.1-py3-none-any.whl
Download: [link]
Size: 11389
MD5: b809715ea43bb6f5aa68bdf6f70fd199
SHA256: cbcec621f20032e3b913f1958d2f56bf0779919a7d5a69686484a89d275541c6
Uploaded: 2025-02-17 15:16:47 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.2
Name: llm-embedding-eval
Version: 0.1
Summary: LLM plugin for embedding evaluation with semantic scoring
Author: Ajay Arunachalam
Project-Url: Homepage, https://github.com/ajayarunachalam/llm-embedding-eval
Project-Url: Issues, https://github.com/ajayarunachalam/llm-embedding-eval/issues
License: Apache-2.0
Classifier: License :: OSI Approved :: Apache Software License
Requires-Dist: llm (>=0.9)
Requires-Dist: numpy (>=1.20)
Requires-Dist: torch (>=1.9)
Requires-Dist: transformers (>=4.0)
Requires-Dist: accelerate (>=0.20)
Requires-Dist: pytest; extra == "test"
Provides-Extra: test
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2674 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.8.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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llm_embedding_eval-0.1.dist-info/LICENSE sha256=HrhfyXIkWY2tGFK11kg7vPCqhgh5DcxleloqdhrpyMY 11558
llm_embedding_eval-0.1.dist-info/METADATA sha256=A9Gxj_nhUMz8jl9msgmH2rC60LtI0Ivl9pXxO8hUavU 3432
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llm_embedding_eval-0.1.dist-info/entry_points.txt sha256=k5hOiqI46bWlx4OjWDNdRGz0v7aNvgMmHTPFdqhzW0U 32
llm_embedding_eval-0.1.dist-info/top_level.txt sha256=gxTAILr8zeQ-fDGrNrYshgEJTAtVgwx6_ULvXJBS2Wk 19
llm_embedding_eval-0.1.dist-info/RECORD — —

top_level.txt

llm_embedding_eval

entry_points.txt

[llm]
eval = llm_embedding_eval