Token Efficient Fine Tuning (TEFT)
A library reducing the output size of large language models (LLM)
Build
Put pypi credentials in ~/.pypirc. The relevant section should look like this
[distutils]
index-servers =
testpypi
[pypi]
username = __token__
password = pypi-...
[testpypi]
username = __token__
password = pypi-...
python -m build
Upload to test index:
twine upload --repository testpypi dist/*
Upload to prod index:
twine upload dist/*
1 maintainer
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1 maintainer
Release files for teft 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| teft-0.0.1.tar.gz | 1.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| teft-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.1 kB
Release files / teft-0.0.1.tar.gz
| Download URL | teft-0.0.1.tar.gz |
|---|---|
| Size | 1.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
|
Release files / teft-0.0.1-py3-none-any.whl
| Download URL | teft-0.0.1-py3-none-any.whl |
|---|---|
| Size | 1.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7a2a8950a7a550cd23334024c13125f3b7b1b792f78f0dd318c2552c0be6d4fa
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BLAKE2b-256 checksum How to use checksums |
980dffdc1f0f6a4ef9a7360e8cedeafbc05927b7f99ac7574183b118bca3aa40
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
|
