llm-llamafile


Namellm-llamafile JSON
Version 0.1 PyPI version JSON
download
home_pageNone
SummaryAccess llamafile localhost models via LLM
upload_time2024-04-22 04:11:25
maintainerNone
docs_urlNone
authorSimon Willison
requires_pythonNone
licenseApache-2.0
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls. 
            # llm-llamafile

[![PyPI](https://img.shields.io/pypi/v/llm-llamafile.svg)](https://pypi.org/project/llm-llamafile/)
[![Changelog](https://img.shields.io/github/v/release/simonw/llm-llamafile?include_prereleases&label=changelog)](https://github.com/simonw/llm-llamafile/releases)
[![Tests](https://github.com/simonw/llm-llamafile/actions/workflows/test.yml/badge.svg)](https://github.com/simonw/llm-llamafile/actions/workflows/test.yml)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/llm-llamafile/blob/main/LICENSE)

Access llamafile localhost models via LLM

## Installation

Install this plugin in the same environment as [LLM](https://llm.datasette.io/).
```bash
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:

```bash
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:
```bash
cd llm-llamafile
python3 -m venv venv
source venv/bin/activate
```
Now install the dependencies and test dependencies:
```bash
llm install -e '.[test]'
```
To run the tests:
```bash
pytest
```

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "llm-llamafile",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": null,
    "author": "Simon Willison",
    "author_email": null,
    "download_url": "https://files.pythonhosted.org/packages/cb/91/1b7e844fddccd7e1b03ffecb2bfd70bb2eca0383d19604df21015cded932/llm_llamafile-0.1.tar.gz",
    "platform": null,
    "description": "# llm-llamafile\n\n[![PyPI](https://img.shields.io/pypi/v/llm-llamafile.svg)](https://pypi.org/project/llm-llamafile/)\n[![Changelog](https://img.shields.io/github/v/release/simonw/llm-llamafile?include_prereleases&label=changelog)](https://github.com/simonw/llm-llamafile/releases)\n[![Tests](https://github.com/simonw/llm-llamafile/actions/workflows/test.yml/badge.svg)](https://github.com/simonw/llm-llamafile/actions/workflows/test.yml)\n[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/llm-llamafile/blob/main/LICENSE)\n\nAccess llamafile localhost models via LLM\n\n## Installation\n\nInstall this plugin in the same environment as [LLM](https://llm.datasette.io/).\n```bash\nllm install llm-llamafile\n```\n## Usage\n\nMake sure you have a `llamafile` running on `localhost`, serving an OpenAI compatible API endpoint on port 8080.\n\nYou can then use `llm` to interact with that model like so:\n\n```bash\nllm -m llamafile \"3 neat characteristics of a pelican\"\n```\n\n## Development\n\nTo set up this plugin locally, first checkout the code. Then create a new virtual environment:\n```bash\ncd llm-llamafile\npython3 -m venv venv\nsource venv/bin/activate\n```\nNow install the dependencies and test dependencies:\n```bash\nllm install -e '.[test]'\n```\nTo run the tests:\n```bash\npytest\n```\n",
    "bugtrack_url": null,
    "license": "Apache-2.0",
    "summary": "Access llamafile localhost models via LLM",
    "version": "0.1",
    "project_urls": {
        "CI": "https://github.com/simonw/llm-llamafile/actions",
        "Changelog": "https://github.com/simonw/llm-llamafile/releases",
        "Homepage": "https://github.com/simonw/llm-llamafile",
        "Issues": "https://github.com/simonw/llm-llamafile/issues"
    },
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "11cd500b8c2ecf640ca13178ceebfb1de6576b4ee642022b7c41634e4dde0a44",
                "md5": "6ceb7f3aa91e133f80149e76c6ca99c8",
                "sha256": "85feab4b87c24f060a920101c1700a7fb00ea8b9b6b0ee9bf423c8e83286e5e2"
            },
            "downloads": -1,
            "filename": "llm_llamafile-0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "6ceb7f3aa91e133f80149e76c6ca99c8",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 6541,
            "upload_time": "2024-04-22T04:11:24",
            "upload_time_iso_8601": "2024-04-22T04:11:24.413826Z",
            "url": "https://files.pythonhosted.org/packages/11/cd/500b8c2ecf640ca13178ceebfb1de6576b4ee642022b7c41634e4dde0a44/llm_llamafile-0.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "cb911b7e844fddccd7e1b03ffecb2bfd70bb2eca0383d19604df21015cded932",
                "md5": "e2a236b41fedf564a67864789b5bbcf8",
                "sha256": "e7fee71cac12f1b3230b47f1aa15e8872c8efd764ac886a90a20ab11e72e7549"
            },
            "downloads": -1,
            "filename": "llm_llamafile-0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "e2a236b41fedf564a67864789b5bbcf8",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 6210,
            "upload_time": "2024-04-22T04:11:25",
            "upload_time_iso_8601": "2024-04-22T04:11:25.793390Z",
            "url": "https://files.pythonhosted.org/packages/cb/91/1b7e844fddccd7e1b03ffecb2bfd70bb2eca0383d19604df21015cded932/llm_llamafile-0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-04-22 04:11:25",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "simonw",
    "github_project": "llm-llamafile",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "lcname": "llm-llamafile"
}
Simon Willison
Elapsed time: 0.27512s