GGUF connector(s) with GUI
Project description
GGUF connector
GGUF (GPT-Generated Unified Format) is a successor of GGML (GPT-Generated Model Language), it was released on August 21, 2023; by the way, GPT stands for Generative Pre-trained Transformer.
This package is a simple graphical user interface (GUI) application that uses the ctransformers or llama.cpp to interact with a chat model for generating responses.
Install the connector via pip (once only):
pip install gguf-connector
Update the connector (if previous version installed) by:
pip install gguf-connector --upgrade
With this version, you can interact straight with the GGUF file(s) available in the same directory by a simple command.
Graphical User Interface (GUI)
Select model(s) with llama.cpp connector:
ggc cpp
Select model(s) with ctransformers:
ggc c
Command Line Interface (CLI)
Select model(s) with ctransformers:
ggc g
Select model(s) with llama.cpp connector:
ggc gpp
Metadata reader (CLI only)
Select model(s) with metadata reader:
ggc r
PDF analyzor (beta feature on CLI recently)
Load PDF(s) into a model with ctransformers:
ggc cp
Load PDF(s) into a model with llama.cpp connector:
ggc pp
Container
Launch to page/container:
ggc w
Menu
Enter the main menu for selecting a connector or getting pre-trained trial model(s).
ggc m
Import as a module
Include the connector selection menu to your code by:
from gguf_connector import menu
For standalone version please refer to the repository in the reference list (below).
References
model selector (standalone version: installable package)
cgg (cmd-based tool)
Resources
Website
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for gguf_connector-0.7.23-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d4a60f184034582a0581a966bbea47bdb481388c2a8fe57dfec34190d408a61d |
|
MD5 | c487151e576efac4995cc388c76ee48e |
|
BLAKE2b-256 | 8eccb1e7eb269cb8f682caf073b84372b706b970e4b465daff7404219e3ba611 |