(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
# extracted from http//www.naturalearthdata.com/download/110m/cultural/ne_110m_admin_0_countries.zip | |
# under public domain terms | |
country_bounding_boxes = { | |
'AF': ('Afghanistan', (60.5284298033, 29.318572496, 75.1580277851, 38.4862816432)), | |
'AO': ('Angola', (11.6400960629, -17.9306364885, 24.0799052263, -4.43802336998)), | |
'AL': ('Albania', (19.3044861183, 39.624997667, 21.0200403175, 42.6882473822)), | |
'AE': ('United Arab Emirates', (51.5795186705, 22.4969475367, 56.3968473651, 26.055464179)), | |
'AR': ('Argentina', (-73.4154357571, -55.25, -53.628348965, -21.8323104794)), | |
'AM': ('Armenia', (43.5827458026, 38.7412014837, 46.5057198423, 41.2481285671)), |
version: '3' | |
services: | |
app: | |
image: nginx:alpine | |
ports: ["80:80"] | |
restart: unless-stopped | |
restarter: | |
image: docker:cli | |
volumes: ["/var/run/docker.sock:/var/run/docker.sock"] |
Os links aqui estão sem nenhum tipo de ordenação, então o que esta por ultimo não é necessariamente o mais ruim na minha opinião e o que esta primeiro não necessariamente é o melhor, sabendo disso, vamos a lista.
#!/bin/sh | |
# PATH TO YOUR HOSTS FILE | |
ETC_HOSTS=/etc/hosts | |
# DEFAULT IP FOR HOSTNAME | |
IP="127.0.0.1" | |
# Hostname to add/remove. | |
HOSTNAME=$1 |
import SwiftUI | |
@available(iOS 14.0, *) | |
public struct ColorPickerWithoutLabel: UIViewRepresentable { | |
@Binding var selection: Color | |
var supportsAlpha: Bool = true | |
public init(selection: Binding<Color>, supportsAlpha: Bool = true) { | |
self._selection = selection | |
self.supportsAlpha = supportsAlpha |
Good question! I am collecting human data on how quantization affects outputs. See here for more information: ggerganov/llama.cpp#5962
In the meantime, use the largest that fully fits in your GPU. If you can comfortably fit Q4_K_S, try using a model with more parameters.
See the wiki upstream: https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix