Plugin for LLM adding a Markov chain generating model
Project description
llm-markov
Plugin for LLM adding a Markov chain generating model
Installation
Install this plugin in the same environment as LLM.
llm install llm-markov
Usage
This plugin adds a model called markov
. You can execute it like this:
llm -m markov "The quick brown fox jumps over the lazy dog"
My default it will produce 100 words. You can control the number of words with the -o number
option:
llm -m markov -o 20 "The quick brown fox jumps over the lazy dog"
A delay of 0.02s is simulated between each token. You can modify this using the -o delay
option - to 0
to disable it, or some other floating point number of seconds to customize it:
llm -m markov "The quick brown fox jumps over the lazy dog" -o delay 0
llm -m markov "The quick brown fox jumps over the lazy dog" -o delay 0.1 -o length 20
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd llm-markov
python3 -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e '.[test]'
To run the tests:
pytest
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
File details
Details for the file llm-markov-0.1.tar.gz
.
File metadata
- Download URL: llm-markov-0.1.tar.gz
- Upload date:
- Size: 7.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1dff3a5c433ccdbc705cf2087cdc173db2a8c785b7761d7fcfb049a0362ec3a3 |
|
MD5 | 93c3353cc0170f1606896de09a38da91 |
|
BLAKE2b-256 | 54c5ad7db3d895e423cf4fdb546e3c58122dbf0b5e335359df04d2e0c34f84a5 |
File details
Details for the file llm_markov-0.1-py3-none-any.whl
.
File metadata
- Download URL: llm_markov-0.1-py3-none-any.whl
- Upload date:
- Size: 7.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 00512a2a0d7a047961a42a263509f76977971fd4a861753eba7ca2c8095fde7b |
|
MD5 | 8f181c1bb2cb117eaae3974bcf0343ad |
|
BLAKE2b-256 | 8b51f54a03ee5b4aac58f714a25940e92864b69a3ca0e264eb5810e613cd848a |