gguf-core 0.0.66

a simple way to interact llama with gguf

GGUF core

This package is a GGUF (GPT-Generated Unified Format) file caller.

install the caller via pip/pip3 (once only):

pip install gguf-core

update the caller (if not in the latest version) by:

pip install gguf-core --upgrade

user manual

This is a cmd-based (command line) package, you can find the user manual by adding the flag -h or --help.

gguf -h

check current version

gguf -v

cli connector

with command-line interface

gguf c

gui connector

with graphical user interface

gguf g

vision connector (beta)

with vision model supported

gguf v

interface selector

selection menu for connector interface(s) above

gguf i

metadata reader

read model metadata for detail(s)

gguf r

or try model analyzor (beta)

gguf a

GGUF file(s) in the current directory will automatically be detected by the caller.

get feature

get GGUF from URL; clone/download it to the current directory

gguf get [url]

sample model list

You can either use the get feature above or opt a sample GGUF straight from the sample list by:

gguf s

gguf splitter

Split gguf into part(s) by:

gguf split

gguf merger

Merge all gguf into one by:

gguf merge

prompt generator (beta)

Generate bulk prompt/descriptor(s) by:

gguf prompt

gguf comfy (beta)

Download ComfyUI GGUF portable package with gguf node by:

gguf comfy

gguf node (beta)

Download gguf node only by:

gguf node

gguf pack (beta)

Download gguf pack by:

gguf pack

pdf analyzor (beta)

You can now load your PDF file(s) straight into the model for generating digested summary; try it out by:

gguf p

wav analyzor (offline)

You can speak/talk straight to GGUF right away; prompt WAV(s) into the model for feedback; try it out by:

gguf f

wav analyzor (online)

more accurate (via google Open api); Internet access needed; try it out by:

gguf o

launch to page/container (gguf.org)

gguf org

launch to page/container (gguf.io)

gguf io

launch to page/container (gguf.us)

gguf us