| localeIdentifier | Description | |
|---|---|---|
| eu | Basque | |
| hr_BA | Croatian (Bosnia & Herzegovina) | |
| en_CM | English (Cameroon) | |
| en_BI | English (Burundi) | |
| rw_RW | Kinyarwanda (Rwanda) | |
| ast | Asturian | |
| en_SZ | English (Swaziland) | |
| he_IL | Hebrew (Israel) | |
| ar | Arabic |
| [ | |
| "WAT": "Africa/Lagos", | |
| "EAT": "Africa/Addis_Ababa", | |
| "MDT": "America/Denver", | |
| "ICT": "Asia/Bangkok", | |
| "TRT": "Europe/Istanbul", | |
| "PHT": "Asia/Manila", | |
| "CAT": "Africa/Harare", | |
| "EET": "Europe/Athens", | |
| "SGT": "Asia/Singapore", |
| [ | |
| "Africa/Abidjan", | |
| "Africa/Accra", | |
| "Africa/Addis_Ababa", | |
| "Africa/Algiers", | |
| "Africa/Asmara", | |
| "Africa/Bamako", | |
| "Africa/Bangui", | |
| "Africa/Banjul", | |
| "Africa/Bissau", |
Given a subscribed calendar with a url like
https://example.com/example.ics
To force Google Calendar to refresh and reload the contents right now, unsubscribe from the calendar and subscribe to a new calendar with a URL like
https://example.com/example.ics#1
Adding the anchor tag will force Google Calendar to think of it as a new calendar
| import { useSyncExternalStore } from "react"; | |
| // For more on the useSyncExternalStore hook, see https://react.dev/reference/react/useSyncExternalStore | |
| // The code is almost identical to the source code of zustand, without types and some features stripped out. | |
| // Check the links to see the references in the source code. | |
| // The links are referencing the v5 of the library. If you plan on reading the source code yourself v5 is the best way to start. | |
| // The current v4 version contains lot of deprecated code and extra stuff that makes it hard to reason about if you're new to this. | |
| // https://github.com/pmndrs/zustand/blob/fe47d3e6c6671dbfb9856fda52cb5a3a855d97a6/src/vanilla.ts#L57-L94 | |
| function createStore(createState) { |
| --!nocheck | |
| local RagdollService = {} | |
| export type ConstraintsInfo = { | |
| [string]: { | |
| [string]: boolean | string | number | |
| } |
| (* TODO: multicore and/or gpu computation would be fun *) | |
| (* TODO: mnist sample *) | |
| module Matrix = struct | |
| module FA = Float.Array | |
| type t = { data : FA.t; cols : int } | |
| let make m n value = | |
| let data = FA.make (m * n) value in |
This worked on 14/May/23. The instructions will probably require updating in the future.
llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet. It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)
Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.
It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.
08737ef720f0510c7ec2aa84d7f70c691073c35d.