Skip to main content

LLM plugin for models hosted by SambaNova

Project description

llm-sambanova

PyPI Changelog Tests License

LLM plugin for models hosted by SambaNova

Installation

First, install the LLM command-line utility.

Now install this plugin in the same environment as LLM.

llm install llm-sambanova

Configuration

You will need an API key from SambaNova. You can obtain one here.

You can set that as an environment variable called OPENROUTER_KEY, or add it to the llm set of saved keys using:

llm keys set sambanova
Enter key: <paste key here>

Usage

To list available models, run:

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:

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:

llm aliases set 405 sambanova/Meta-Llama-3.1-405B-Instruct

Now you can prompt Claude using:

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:

cd llm-sambanova
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

This version

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llm_sambanova-0.1.tar.gz (3.6 kB view details)

Uploaded Source

Built Distribution

llm_sambanova-0.1-py3-none-any.whl (4.0 kB view details)

Uploaded Python 3

File details

Details for the file llm_sambanova-0.1.tar.gz.

File metadata

  • Download URL: llm_sambanova-0.1.tar.gz
  • Upload date:
  • Size: 3.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for llm_sambanova-0.1.tar.gz
Algorithm Hash digest
SHA256 6aae71acfe4286896b0f16e38aa9199ba0277b9f192cc5d68d245572daf5e9e8
MD5 6f0828a420c3caf294000b3f5ade5ea7
BLAKE2b-256 63abf1bb24e4fdb84ef8b84a2ee1c373aa2721924fef3a2ff05318ffa772f924

See more details on using hashes here.

File details

Details for the file llm_sambanova-0.1-py3-none-any.whl.

File metadata

  • Download URL: llm_sambanova-0.1-py3-none-any.whl
  • Upload date:
  • Size: 4.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.9

File hashes

Hashes for llm_sambanova-0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0c1c436d72a7cdb6a29eef5d448b627391bb39bac2cab0ab3f4cfab23db66651
MD5 9cc8e0c63c7237a03595971d657107ae
BLAKE2b-256 179a4d8d52e4fde38998b0c061fab146e81dd049f2fe643b546d6a5792ed3460

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page