mirror of
https://github.com/hwchase17/langchain.git
synced 2026-05-11 05:41:17 +00:00
c4341463e8
Hi, I recently experimented with grammar-based sampling and discovered two methods for speeding up the creation of gbnf grammar files: 1. [Online grammar generator app](https://github.com/ggerganov/llama.cpp/discussions/2494) introduced [here](https://github.com/ggerganov/llama.cpp/discussions/2494) 2. [Script](https://github.com/ggerganov/llama.cpp/blob/master/examples/json-schema-to-grammar.py) for parsing json schema to gbnf grammar I believe it is a good idea to include the information that leads to them in the `llama-cpp` notebook. *** Codespell check fails but due to the unrelated script Co-authored-by: Bagatur <baskaryan@gmail.com>
Website
This website is built using Docusaurus 2, a modern static website generator.
Installation
$ yarn
Local Development
$ yarn start
This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
Build
$ yarn build
This command generates static content into the build directory and can be served using any static contents hosting service.
Deployment
Using SSH:
$ USE_SSH=true yarn deploy
Not using SSH:
$ GIT_USER=<Your GitHub username> yarn deploy
If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the gh-pages branch.
Continuous Integration
Some common defaults for linting/formatting have been set for you. If you integrate your project with an open-source Continuous Integration system (e.g. Travis CI, CircleCI), you may check for issues using the following command.
$ yarn ci