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Brunobkr/llama.cpp_AlgMor24_github

ΩFFFΣLLIa • llama.cpp • AlgMor24 ██████╗ ███████╗███████╗███████╗██╗ ██╗ ██╗ █████╗ ██╔═══██╗██╔════╝██╔════╝██╔════╝██║ ██║ ██║██╔══██╗ ██║ ██║█████╗ █████╗ █████╗ ██║ ██║ ██║███████║ ██║ ██║██╔══╝ ██╔══╝ ██╔══╝ ██║ ██║ ██║██╔══██║ ╚██████╔╝██║ ██║ ███████╗███████╗███████╗██║██║ ██║ ╚═════╝ ╚═╝ ╚═╝ ╚══════╝╚══════╝╚══════╝╚═╝╚═╝ ╚═╝ High-Performance LLM / VLM Inference & Autonomous Agentic Ecosystem… See the full description on the dataset page: https://huggingface.co/datasets/Brunobkr/llama.cpp_AlgMor24_github.

sourceHugging Faceupdated 2mo agoView on Hugging Face
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README.md95 linesDownload Raw Back to valibot
1![Valibot Logo](https://github.com/open-circle/valibot/blob/main/valibot.jpg?raw=true)2 3# Valibot4 5[![License: MIT][license-image]][license-url]6[![CI][ci-image]][ci-url]7[![NPM version][npm-image]][npm-url]8[![Downloads][downloads-image]][npm-url]9[![JSR version][jsr-image]][jsr-url]10[![Discord][discord-image]][discord-url]11 12Hello, I am Valibot and I would like to help you validate data easily using a schema. No matter if it is incoming data on a server, a form or even configuration files. I have no dependencies and can run in any JavaScript environment.13 14> I highly recommend you read the [announcement post](https://www.builder.io/blog/introducing-valibot), and if you are a nerd like me, the [bachelor's thesis](https://valibot.dev/thesis.pdf) I am based on.15 16## Highlights17 18- Fully type safe with static type inference19- Small bundle size starting at less than 700 bytes20- Validate everything from strings to complex objects21- Open source and fully tested with 100 % coverage22- Many transformation and validation actions included23- Well structured source code without dependencies24- Minimal, readable and well thought out API25 26## Example27 28First you create a schema that describes a structured data set. A schema can be compared to a type definition in TypeScript. The big difference is that TypeScript types are "not executed" and are more or less a DX feature. A schema on the other hand, apart from the inferred type definition, can also be executed at runtime to guarantee the type safety of unknown data.29 30<!-- prettier-ignore -->31```ts32import * as v from 'valibot'; // 1.31 kB33 34// Create login schema with email and password35const LoginSchema = v.object({36  email: v.pipe(v.string(), v.email()),37  password: v.pipe(v.string(), v.minLength(8)),38});39 40// Infer output TypeScript type of login schema as41// { email: string; password: string }42type LoginData = v.InferOutput<typeof LoginSchema>;43 44// Throws error for email and password45const output1 = v.parse(LoginSchema, { email: '', password: '' });46 47// Returns data as { email: string; password: string }48const output2 = v.parse(LoginSchema, {49  email: 'jane@example.com',50  password: '12345678',51});52```53 54Apart from `parse` I also offer a non-exception-based API with `safeParse` and a type guard function with `is`. You can read more about it [here](https://valibot.dev/guides/parse-data/).55 56## Comparison57 58Instead of relying on a few large functions with many methods, my API design and source code is based on many small and independent functions, each with just a single task. This modular design has several advantages.59 60For example, this allows a bundler to use the import statements to remove code that is not needed. This way, only the code that is actually used gets into your production build. This can reduce the bundle size by up to 95 % compared to [Zod](https://zod.dev/).61 62In addition, it allows you to easily extend my functionality with external code and makes my source code more robust and secure because the functionality of the individual functions can be tested much more easily through unit tests.63 64> Coming from [Zod](https://zod.dev/)? Read our [migration article](https://valibot.dev/blog/why-migrate-to-valibot/) to see the benefits of Valibot, and use our [migration guide](https://valibot.dev/guides/migrate-from-zod/) to migrate your schemas with confidence.65 66## Partners67 68Thanks to our partners who support my development! [Join them](https://github.com/sponsors/fabian-hiller) and contribute to the sustainability of open source software!69 70![Partners of Valibot](https://github.com/open-circle/valibot/blob/main/partners.webp?raw=true)71 72## Credits73 74My friend [Fabian](https://github.com/fabian-hiller) created me as part of his [bachelor thesis](https://valibot.dev/thesis.pdf) at [Stuttgart Media University](https://www.hdm-stuttgart.de/en/), supervised by Walter Kriha, [Miško Hevery](https://github.com/mhevery) and [Ryan Carniato](https://github.com/ryansolid). My role models also include [Colin McDonnell](https://github.com/colinhacks), who had a big influence on my API design with [Zod](https://zod.dev/).75 76## Feedback77 78Find a bug or have an idea how to improve my code? Please fill out an [issue](https://github.com/open-circle/valibot/issues/new). Together we can make the library even better!79 80## License81 82I am completely free and licensed under the [MIT license](https://github.com/open-circle/valibot/blob/main/LICENSE.md). But if you like, you can feed me with a star on [GitHub](https://github.com/open-circle/valibot).83 84[license-image]: https://img.shields.io/badge/License-MIT-brightgreen.svg?style=flat-square85[license-url]: https://opensource.org/licenses/MIT86[ci-image]: https://img.shields.io/github/actions/workflow/status/open-circle/valibot/ci.yml?branch=main&logo=github&style=flat-square87[ci-url]: https://github.com/open-circle/valibot/actions/workflows/ci.yml88[npm-image]: https://img.shields.io/npm/v/valibot.svg?style=flat-square89[npm-url]: https://npmjs.org/package/valibot90[downloads-image]: https://img.shields.io/npm/dm/valibot.svg?style=flat-square91[jsr-image]: https://jsr.io/badges/@valibot/valibot?style=flat-square92[jsr-url]: https://jsr.io/@valibot/valibot93[discord-image]: https://img.shields.io/discord/1252985447273992222?label=Discord&style=flat-square94[discord-url]: https://discord.gg/tkMjQACf2P95 
Brunobkr/llama.cpp_AlgMor24_github · Team Ai