mirror of
https://github.com/ianarawjo/ChainForge.git
synced 2025-03-17 17:45:48 +00:00
0134dbf59b
* Removed Python backend files that are no longer used (everything in `promptengine`) * Added `providers` subdomain, with `CustomProviderProtocol`, `provider` decorator, and global singleton `ProviderRegistry` * Added a tab for custom providers, and a dropzone, in ChainForge global settings UI * List custom providers in the Global Settings screen once added. * Added ability to remove custom providers by clicking X. * Make custom funcs sync but call them async'ly. * Add Cohere custom provider example in examples/ *Cache the custom provider scripts and load them upon page load * Rebuild react and update package version * Bug fix when custom provider is deleted and settings screen is opened on the deleted custom provider
53 lines
2.1 KiB
Markdown
53 lines
2.1 KiB
Markdown
# dalaipy
|
|
A Python Wrapper for [Dalai](https://github.com/cocktailpeanut/dalai)!
|
|
|
|
Dalai is a simple, and easy way to run LLaMa and Alpaca locally.
|
|
|
|
## Installation
|
|
`pip install dalaipy==2.0.2`
|
|
|
|
https://pypi.org/project/dalaipy/2.0.2/
|
|
|
|
## Instructions
|
|
1. Go to [Dalai](https://github.com/cocktailpeanut/dalai), and set up your model of choice on your system (either Mac, Windows, or Linux). The readme provides clear explanations!
|
|
2. Once you can run `npx dalai serve`, run the server and test out your model of choice.
|
|
3. Install dalaipy per the instructions above, and make your first request:
|
|
```
|
|
from dalaipy.src import Dalai
|
|
|
|
model = Dalai()
|
|
# your_model can be one of the following, "alpaca.7B", "alpaca.13B", "llama.7B", "llama.13B", "llama.30B", or "llama.65B", and is dictated by which model you installed
|
|
request_dict = model.generate_request("What is the capital of the United States?", your_model)
|
|
print(model.request(request_dict))
|
|
```
|
|
|
|
## Credits
|
|
[@cocktailpeanut](https://github.com/cocktailpeanut) - the owner of Dalai
|
|
|
|
[@quadrismegistus](https://github.com/quadrismegistus) - made a notebook with the original idea of using python-socketio to communicate with the web server
|
|
|
|
## Docs
|
|
### Dalai Class
|
|
- generate_request() - `model.generate_request(prompt, model)`
|
|
- `prompt`: **(required)** the prompt string
|
|
- `model`: **(required)** the model that should be used, in the form of a string
|
|
- `alpaca.7B`
|
|
- `alpaca.13B`
|
|
- `llama.7B`
|
|
- `llama.13B`
|
|
- `llama.30B`
|
|
- `llama.65B`
|
|
- `id`: the request ID (defaut is '0')
|
|
- `n_predict`: the number of tokens to return (default is 128)
|
|
- `repeat_last_n`: default is 64
|
|
- `repeat_penalty`: default is 1.3
|
|
- `seed`: the seed (default is -1)
|
|
- `temp`: the temperature of the request (default is 0.5)
|
|
- `threads`: the number of threads to use (default is 4)
|
|
- `top_k`: default is 40
|
|
- `top_p`: default is 0.9
|
|
|
|
- request() - `model.request(prompt)`
|
|
- `prompt`: **(required)** the prompt string
|
|
- `prettify`: whether or not to clean and output just the string, or the whole request dictionary (default is `True`)
|