| Name | llm-sambanova JSON |
| Version |
0.1
JSON |
| download |
| home_page | None |
| Summary | LLM plugin for models hosted by SambaNova |
| upload_time | 2024-10-09 00:56:59 |
| maintainer | None |
| docs_url | None |
| author | Nick Mystic |
| requires_python | None |
| license | MIT |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# llm-sambanova
[](https://pypi.org/project/llm-sambanova/)
[](https://github.com/simonw/llm-sambanova/releases)
[](https://github.com/simonw/llm-sambanova/actions?query=workflow%3ATest)
[](https://github.com/simonw/llm-sambanova/blob/main/LICENSE)
[LLM](https://llm.datasette.io/) plugin for models hosted by [SambaNova](https://sambanova.ai/)
## Installation
First, [install the LLM command-line utility](https://llm.datasette.io/en/stable/setup.html).
Now install this plugin in the same environment as LLM.
```bash
llm install llm-sambanova
```
## Configuration
You will need an API key from SambaNova. You can [obtain one here](https://sambanova.ai/keys).
You can set that as an environment variable called `OPENROUTER_KEY`, or add it to the `llm` set of saved keys using:
```bash
llm keys set sambanova
```
```
Enter key: <paste key here>
```
## Usage
To list available models, run:
```bash
llm models list
```
You should see a list that looks something like this:
```
SambaNova: sambanova/Meta-Llama-3.2-1B-Instruct
SambaNova: sambanova/Meta-Llama-3.2-3B-Instruct
SambaNova: sambanova/Meta-Llama-3.1-8B-Instruct
SambaNova: sambanova/Meta-Llama-3.1-8B-Instruct-8k
SambaNova: sambanova/Meta-Llama-3.1-70B-Instruct
SambaNova: sambanova/Meta-Llama-3.1-70B-Instruct-8k
SambaNova: sambanova/Meta-Llama-3.1-405B-Instruct
SambaNova: sambanova/Meta-Llama-3.1-405B-Instruct-8k
SambaNova: sambanovacompletion/Meta-Llama-3.2-1B-Instruct
SambaNova: sambanovacompletion/Meta-Llama-3.2-3B-Instruct
SambaNova: sambanovacompletion/Meta-Llama-3.1-8B-Instruct
SambaNova: sambanovacompletion/Meta-Llama-3.1-8B-Instruct-8k
SambaNova: sambanovacompletion/Meta-Llama-3.1-70B-Instruct
SambaNova: sambanovacompletion/Meta-Llama-3.1-70B-Instruct-8k
SambaNova: sambanovacompletion/Meta-Llama-3.1-405B-Instruct
SambaNova: sambanovacompletion/Meta-Llama-3.1-405B-Instruct-8k
...
```
To run a prompt against a model, pass its full model ID to the `-m` option, like this:
```bash
llm -m sambanova/Meta-Llama-3.2-1B-Instruct "Five spooky names for a pet tarantula"
```
You can set a shorter alias for a model using the `llm aliases` command like so:
```bash
llm aliases set 405 sambanova/Meta-Llama-3.1-405B-Instruct
```
Now you can prompt Claude using:
```bash
cat llm_sambanova.py | llm -m 405 -s 'write some pytest tests for this'
```
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd llm-sambanova
python3 -m venv venv
source venv/bin/activate
```
Now install the dependencies and test dependencies:
```bash
pip install -e '.[test]'
```
To run the tests:
```bash
pytest
```
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"description": "# llm-sambanova\n\n[](https://pypi.org/project/llm-sambanova/)\n[](https://github.com/simonw/llm-sambanova/releases)\n[](https://github.com/simonw/llm-sambanova/actions?query=workflow%3ATest)\n[](https://github.com/simonw/llm-sambanova/blob/main/LICENSE)\n\n[LLM](https://llm.datasette.io/) plugin for models hosted by [SambaNova](https://sambanova.ai/)\n\n## Installation\n\nFirst, [install the LLM command-line utility](https://llm.datasette.io/en/stable/setup.html).\n\nNow install this plugin in the same environment as LLM.\n```bash\nllm install llm-sambanova\n```\n\n## Configuration\n\nYou will need an API key from SambaNova. You can [obtain one here](https://sambanova.ai/keys).\n\nYou can set that as an environment variable called `OPENROUTER_KEY`, or add it to the `llm` set of saved keys using:\n\n```bash\nllm keys set sambanova\n```\n```\nEnter key: <paste key here>\n```\n\n## Usage\n\nTo list available models, run:\n```bash\nllm models list\n```\nYou should see a list that looks something like this:\n```\nSambaNova: sambanova/Meta-Llama-3.2-1B-Instruct\nSambaNova: sambanova/Meta-Llama-3.2-3B-Instruct\nSambaNova: sambanova/Meta-Llama-3.1-8B-Instruct\nSambaNova: sambanova/Meta-Llama-3.1-8B-Instruct-8k\nSambaNova: sambanova/Meta-Llama-3.1-70B-Instruct\nSambaNova: sambanova/Meta-Llama-3.1-70B-Instruct-8k\nSambaNova: sambanova/Meta-Llama-3.1-405B-Instruct\nSambaNova: sambanova/Meta-Llama-3.1-405B-Instruct-8k\nSambaNova: sambanovacompletion/Meta-Llama-3.2-1B-Instruct\nSambaNova: sambanovacompletion/Meta-Llama-3.2-3B-Instruct\nSambaNova: sambanovacompletion/Meta-Llama-3.1-8B-Instruct\nSambaNova: sambanovacompletion/Meta-Llama-3.1-8B-Instruct-8k\nSambaNova: sambanovacompletion/Meta-Llama-3.1-70B-Instruct\nSambaNova: sambanovacompletion/Meta-Llama-3.1-70B-Instruct-8k\nSambaNova: sambanovacompletion/Meta-Llama-3.1-405B-Instruct\nSambaNova: sambanovacompletion/Meta-Llama-3.1-405B-Instruct-8k\n...\n```\nTo run a prompt against a model, pass its full model ID to the `-m` option, like this:\n```bash\nllm -m sambanova/Meta-Llama-3.2-1B-Instruct \"Five spooky names for a pet tarantula\"\n```\nYou can set a shorter alias for a model using the `llm aliases` command like so:\n```bash\nllm aliases set 405 sambanova/Meta-Llama-3.1-405B-Instruct\n```\nNow you can prompt Claude using:\n```bash\ncat llm_sambanova.py | llm -m 405 -s 'write some pytest tests for this'\n```\n## Development\n\nTo set up this plugin locally, first checkout the code. Then create a new virtual environment:\n```bash\ncd llm-sambanova\npython3 -m venv venv\nsource venv/bin/activate\n```\nNow install the dependencies and test dependencies:\n```bash\npip install -e '.[test]'\n```\nTo run the tests:\n```bash\npytest\n```\n",
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