andrw_x86 firstrow

What it is

This is my OpenCode setup for local models, mainly using a customized llama.cpp configuration.

For Qwen 3.8, DeepSeek V4, and Glimmer, the models are already trained to support reasoning effort levels. Depending on the model, these may be exposed as low, medium, high, xhigh, or as low, high, and max.

For models that support reasoning but were not trained with explicit reasoning-effort levels, such as the Qwen 3.5 and 3.6 variants, I use a token budget to limit the amount of reasoning.

Although Qwen 3.8 has built-in reasoning-effort levels, I still apply a maximum reasoning-token cap for each effort level.

Although the llama.cpp CLI flags specify preserve_thinking and a default reasoning budget, these can still be overridden through the API, so this works fine for my setup.

How to ssh to termux the right way

Requirements

Termux (From F-Droid)
ADB (Android Debug Bridge)
USB Cable (Wireless connection is also possible but it's slower)

Use pre-built gccemacs

Fortunatly we could use pre-built gccemacs right now.

Those two repos did the greate job for us.

https://github.com/twlz0ne/nix-gccemacs-darwin

https://github.com/twlz0ne/nix-gccemacs-sierra

Here is the tutorial:

Introduction

This is about documenting getting Linux running on the late 2016 and mid 2017 MPB's; the focus is mostly on the MacBookPro13,3 and MacBookPro14,3 (15inch models), but I try to make it relevant and provide information for MacBookPro13,1, MacBookPro13,2, MacBookPro14,1, and MacBookPro14,2 (13inch models) too. I'm currently using Fedora 27, but most the things should be valid for other recent distros even if the details differ. The kernel version is 4.14.x (after latest update).

The state of linux on the MBP (with particular focus on MacBookPro13,2) is also being tracked on https://github.com/Dunedan/mbp-2016-linux . And for Ubuntu users there are a couple tutorials (here and here) focused on that distro and the MacBook.

Note: For those who have followed these instructions ealier, and in particular for those who have had problems with the custom DSDT, modifying the DSDT is not necessary anymore - se

How to create scriptPubKey for P2PKH

1. Get public key hash

Get the public key hash by computing OP_HASH160 of public key

In this example:

public key: 033e8c5dcb8e35670de496b57c1fa4366800ce3be5fded9b8800759881bc8da2e5
public key hash: 60d47ac02b129c08f94232ea506d1826424fe7be

	# query
	curl \
	-X POST \
	-H "x-api-key: xxx-xxxx" \
	-H "Content-Type: application/json" \
	-d '{ "query": "query { listUsers { name } }" }' \
	https://app-id.appsync-api.us-east-1.amazonaws.com/graphql

	# mutation with variables
	curl \

	# This script creates two kinds of isometric cameras.
	#The one, TrueIsocam called camera, is the mathematical correct isometric camera with the 54.736 rotation to get the 30 degrees angles at the sides of the rhombus.
	#The other, GameIsocam called camera, is a camera with which you can render isometric tiles for a 2d game. Here we need a 60 degrees angle instedad of the 54.736 one to get a proper stairs effect and a ratio of 2:1
	# Then there is the special case with a 4:3 ratio, which is button 3. You can also make 2D games with that one. The view is more topdown though as with a 2:1 ratio of the traditional game iso view.
	# The fourth button creates a simple groundplane where you can place your stuff at.

	#You can of course set up everything by hand. This script is a convenient solution so that you don't have to setup it again and again.

	# The script is under Apache license

	SPC
	SPC: find file
	, switch buffer
	. browse files
	: MX
	; EX
	< switch buffer
	` eval
	u universal arg
	x pop up scratch

	package logger

	import (
	"fmt"
	"path"
	"runtime"

	"github.com/sirupsen/logrus"
	)