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 ctransformers:

ggc c

Select model(s) with llama.cpp connector (optional: need llama-cpp-python to work; get it here):

ggc cpp

Command Line Interface (CLI)

Select model(s) with ctransformers:

ggc g

Select model(s) with llama.cpp connector:

ggc gpp

Select model(s) with vision connector:

ggc v

Opt a clip handler then opt a vision model; prompt your picture link to process (see example here)

Metadata reader (CLI only)

Select model(s) with metadata reader:

ggc r

Select model(s) with metadata fast reader:

ggc r2

Select model(s) with tensor reader (optional: need torch to work; pip install torch):

ggc r3

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

Speech recognizor (beta feature; accept WAV format recently)

Prompt WAV(s) into a model with ctransformers:

ggc cs

Prompt WAV(s) into a model with llama.cpp connector:

ggc ps

Speech recognizor (via Google api; online)

Prompt WAV(s) into a model with ctransformers:

ggc cg

Prompt WAV(s) into a model with llama.cpp connector:

ggc pg

Container

Launch to page/container:

ggc w

Quantizor

Quantize safetensors from bf16 to fp8 (optional: need torch to work; pip install torch):

ggc q

Convertor

Convert safetensors to gguf (auto; optional: need torch to work; pip install torch):

ggc t

Convertor (alpha)

Convert safetensors to gguf (meta; optional: need torch to work; pip install torch):

ggc t1

Convertor (beta)

Convert safetensors to gguf (unlimited; optional: need torch to work; pip install torch):

ggc t2

Convertor (gamma)

Convert gguf to safetensors (reversible; optional: need torch to work; pip install torch):

ggc t3

Cutter

Get cutter for bf/f16 to q2-q8 quantization (see user guide here) by:

ggc u

Comfy

Download comfy pack (see user guide here) by:

ggc y

Node

Clone node (see user/setup guide here) by:

ggc n

Pack

Take pack (see user guide here) by:

ggc p

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

ctransformers llama.cpp

Article

understanding gguf and the gguf-connector

Website

gguf.org (you can download the frontend from github and host it locally; the backend is ethereum blockchain)

gguf.io (i/o is a mirror of us; note: this web3 domain might be restricted access in some regions/by some service providers, if so, visit the one below instead, exactly the same)

gguf.us