Artefact2

Which GGUF is right for me? (Opinionated)

Good question! I am collecting human data on how quantization affects outputs. See here for more information: ggml-org/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.

llama.cpp feature matrix

See the wiki upstream: https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix

cpursley

PostgreSQL is Enough

See the new site: https://postgresisenough.dev

---

• Simplify: move code into database functions
• Just Use Postgres for Everything
• Just use Postgres
• PostgreSQL is the worlds’ best database

mjf

⚠️ WARNING
The ordering of listed projects or documents is random and has no connection to relevance or maturity levels!

Postgres

Extensions

Extension	Description
pgaudit	Postgres auditing extension

cortezbuilds

Using GPG with sbtenv on MacOS

Issue

I rececently downloaded sbtenv to better manage my Scala SBT environmnets per project. When I tried to install any version of SBT using the sbtenv command - it would fail. Checking the stdout I found the message gpg: Can't check signature: No public key at the end of the output.

Steps to reproduce

Install sbtenv

cortezbuilds

# Copyright 2020 Daniel Cortez Stevenson
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

cortezbuilds

"""An example of wrapping a Scala UDF with Python code.

Copyright 2020 Daniel Cortez Stevenson

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    https://www.apache.org/licenses/LICENSE-2.0

niespodd

/**
  ref: https://cs.chromium.org/chromium/src/components/viz/common/frame_sinks/begin_frame_args.h?q=60hz&dr=C&l=11
  The original 16666 corresponds to 60 Hz/FPS: (1 / 60) * 10^6 = 16666μs
**/

diff --git a/components/viz/common/frame_sinks/begin_frame_args.h b/components/viz/common/frame_sinks/begin_frame_args.h
index c4d0e29c7d65..a39ede9849c6 100644
--- a/components/viz/common/frame_sinks/begin_frame_args.h
+++ b/components/viz/common/frame_sinks/begin_frame_args.h
@@ -91,7 +91,8 @@ struct VIZ_COMMON_EXPORT BeginFrameArgs {

arnaud9

from airflow import DAG
from airflow.operators import DummyOperator, PythonOperator

default_args = {
    'owner': 'arnaud',
    'start_date': datetime(2019, 1, 1),
    'retry_delay': timedelta(minutes=5)
}
# Using the context manager alllows you not to duplicate the dag parameter in each operator
with DAG('S3_dag_test', default_args=default_args, schedule_interval='@once') as dag:

kppullin

Overview

The steps below bootstrap an instance of airflow, configured to use the kubernetes airflow executor, working within a minikube cluster.

This guide works with the airflow 1.10 release, however will likely break or have unnecessary extra steps in future releases (based on recent changes to the k8s related files in the airflow source).

Prerequisites

• Docker installed
• Minikube installed and started

jancurn

const Apify = require('apify');

Apify.main(async () => {
    const requestQueue = await Apify.openRequestQueue();
    await requestQueue.addRequest(new Apify.Request({ url: 'https://www.iana.org/' }));
    const pseudoUrls = [new Apify.PseudoUrl('https://www.iana.org/[.*]')];

    const crawler = new Apify.PuppeteerCrawler({
        requestQueue,
        handlePageFunction: async ({ request, page }) => {