llm-nosrun
LLM plugin for models hosted by NOS Cloud
Installation
First, install the LLM command-line utility.
Now install this plugin in the same environment as LLM.
llm install llm-nosrun
Configuration
You will need an API key from NOS Cloud. You can obtain one here.
You can set that as an environment variable called LLM_NOSRUN_KEY, or add it to the llm set of saved keys using:
llm keys set nosrun
Enter key: <paste key here>
Usage
To list available models, run:
llm models list
You should see a list that looks something like this:
NOSRun: TinyLlama/TinyLlama-1.1B-Chat-v1.0
NOSRun: meta-llama/Llama-2-7b-chat-hf
NOSRun: meta-llama/Llama-2-13b-chat-hf
NOSRun: meta-llama/Llama-2-70b-chat-hf
NOSRun: HuggingFaceH4/zephyr-7b-beta
NOSRun: HuggingFaceH4/tiny-random-LlamaForCausalLM
NOSRun: NousResearch/Yarn-Mistral-7b-128k
NOSRun: mistralai/Mistral-7B-Instruct-v0.2
NOSRun: mistralai/Mixtral-8x7B-Instruct-v0.1
NOSRun: TheBloke/TinyLlama-1.1B-Chat-v1.0-AWQ
NOSRun: TheBloke/Mixtral-8x7B-Instruct-v0.1-AWQ
NOSRun: mlabonne/phixtral-2x2_8
NOSRun: mlabonne/phixtral-4x2_8
To run a prompt against a model, pass its full model ID to the -m option, like this:
llm -m TinyLlama/TinyLlama-1.1B-Chat-v1.0 \
'Five strident names for a pet walrus' \
--system 'You love coming up with creative names for pets'
You can set a shorter alias for a model using the llm aliases command like so:
llm aliases set tinyllama TinyLlama/TinyLlama-1.1B-Chat-v1.0
Now you can prompt Llama 2 70B using:
cat llm_nosrun.py | \
llm -m tinyllama -s 'explain this code'
Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
cd llm-nosrun
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-nosrun 0.2
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 | Actions |
|---|---|---|---|---|
| llm-nosrun-0.2.tar.gz | 7.2 kB | Without provenance | Details for llm-nosrun-0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| llm_nosrun-0.2-py3-none-any.whl | Python 3 | none | any | Details for llm_nosrun-0.2-py3-none-any.whl |
Total release size: 14.6 kB
Release files / llm-nosrun-0.2.tar.gz
| Download URL | llm-nosrun-0.2.tar.gz |
|---|---|
| Size | 7.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
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Release files / llm_nosrun-0.2-py3-none-any.whl
| Download URL | llm_nosrun-0.2-py3-none-any.whl |
|---|---|
| Size | 7.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
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