llm-llamafile
Access llamafile localhost models via LLM
Installation
Install this plugin in the same environment as LLM.
llm install llm-llamafile
Usage
Make sure you have a llamafile running on localhost, serving an OpenAI compatible API endpoint on port 8080.
You can then use llm to interact with that model like so:
llm -m llamafile "3 neat characteristics of a pelican"
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd llm-llamafile
python3 -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
llm install -e '.[test]'
To run the tests:
pytest
Release files for llm-llamafile 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| llm_llamafile-0.1.tar.gz | 6.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_llamafile-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.8 kB
Release files / llm_llamafile-0.1.tar.gz
| Download URL | llm_llamafile-0.1.tar.gz |
|---|---|
| Size | 6.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.0.0 CPython/3.12.3
|
Release files / llm_llamafile-0.1-py3-none-any.whl
| Download URL | llm_llamafile-0.1-py3-none-any.whl |
|---|---|
| Size | 6.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.0.0 CPython/3.12.3
|