llm-sambanova
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
Metadata
Release files for llm-sambanova 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 | Provenance | |
|---|---|---|---|---|
| llm_sambanova-0.1.tar.gz | 3.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_sambanova-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.6 kB
Release files / llm_sambanova-0.1.tar.gz
| Download URL | llm_sambanova-0.1.tar.gz |
|---|---|
| Size | 3.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6aae71acfe4286896b0f16e38aa9199ba0277b9f192cc5d68d245572daf5e9e8
|
|
BLAKE2b-256 checksum How to use checksums |
63abf1bb24e4fdb84ef8b84a2ee1c373aa2721924fef3a2ff05318ffa772f924
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
|
Release files / llm_sambanova-0.1-py3-none-any.whl
| Download URL | llm_sambanova-0.1-py3-none-any.whl |
|---|---|
| Size | 4.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0c1c436d72a7cdb6a29eef5d448b627391bb39bac2cab0ab3f4cfab23db66651
|
|
BLAKE2b-256 checksum How to use checksums |
179a4d8d52e4fde38998b0c061fab146e81dd049f2fe643b546d6a5792ed3460
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.9
|
Security for llm-sambanova 0.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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