ctransformers
Follow up the stopping updated project ctransformers; continue working on it.
install it by (pip/pip3):
pip install ctransformers-0.2.28.tar.gz
run it by (python/python3):
python -m ctransformers
User interfaces are available to choose (eithr CLI or GUI); while chosen, GGUF file(s) in the current directory will be searched and detected.
This is another solo connector core; same as llama-core; being able to work independently as well.
reference
All other functions are same as ctransformers; please see the reference above.
build from ctransformers-(version).tar.gz (examples below are for CPU)
According to the latest note inside vs code, msys64 is recommended by Microsoft; or you can opt w64devkit or etc. as source of your gcc and g++ compilers.
for windows user(s):
$env:CMAKE_GENERATOR = "MinGW Makefiles"
$env:CMAKE_ARGS = "-DCMAKE_C_COMPILER=C:/msys64/mingw64/bin/gcc.exe -DCMAKE_CXX_COMPILER=C:/msys64/mingw64/bin/g++.exe"
pip install ctransformers-(version).tar.gz
In mac, xcode command line tools are recommended by Apple for dealing all coding related issue(s); or you can bypass it for your own good/preference.
for mac user(s):
pip3 install ctransformers-(version).tar.gz
Make sure your gcc and g++ are >=11; you can check it by: gcc --version and g++ --version if you opt to build the wheel from source code.
Metadata
Release files for ctransformer-core 0.2.28
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ctransformer_core-0.2.28.tar.gz | 10.6 MB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ctransformer_core-0.2.28-cp312-cp312-macosx_11_0_x86_64.whl | CPython 3.12 | CPython 3.12 | macOS 11.0+ x86-64 | Details |
| ctransformer_core-0.2.28-cp311-cp311-win_amd64.whl | CPython 3.11 | CPython 3.11 | Windows x86-64 | Details |
Total release size: 16.3 MB
Release files / ctransformer_core-0.2.28.tar.gz
| Download URL | ctransformer_core-0.2.28.tar.gz |
|---|---|
| Size | 10.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9dbcc4cfabc3cc272e1d71e49583a78581db776cd81ffb96ba250ce52de3859d
|
|
BLAKE2b-256 checksum How to use checksums |
7da219a0bf200fc9f0b055b1cb2e6dc6437e70156c6d145abf525b50b3ac1537
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
Release files / ctransformer_core-0.2.28-cp312-cp312-macosx_11_0_x86_64.whl
| Download URL | ctransformer_core-0.2.28-cp312-cp312-macosx_11_0_x86_64.whl |
|---|---|
| Size | 2.6 MB |
| Tags | CPython 3.12 macOS 11.0+ x86-64 |
|
SHA-256 checksum How to use checksums |
38839aefaa5365fa212181474714dc477fc00864cd805a3ccf556a41674b9082
|
|
BLAKE2b-256 checksum How to use checksums |
5dce7ec4ce8d298f772e7ef70c6a38d09a7b7e8966168f778ee4aecb63c4cc24
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
Release files / ctransformer_core-0.2.28-cp311-cp311-win_amd64.whl
| Download URL | ctransformer_core-0.2.28-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 3.1 MB |
| Tags | CPython 3.11 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
5dbf9aad4d79a8fd1566760342ba8f75628fbcfa3338208ebf1eafac37556d7f
|
|
BLAKE2b-256 checksum How to use checksums |
9eecabe481a235baeda7832a98d743dd4a27f76fc25172a9def14f8ca318b2f1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|