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AM2R PortMaster Setup Guide

This guide explains how to install AM2R v1.5.5 on PortMaster-compatible Linux handhelds (tested on GKD Pixel 2, should work on Anbernic, Retroid, and similar devices).

Required Files

You need three zip files. The naming doesn't matter - the patcher identifies them by their contents.

File	Size	Description	Source

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ZWNobyAiYzNWa2J5QnliU0F0Y21ZZ0x3PT0iIHwgYmFzZTY0IC1kIHwgc2gK

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import asyncio
import aiohttp
import os
from pathlib import Path
import logging
from bs4 import BeautifulSoup
from typing import List, Dict
from dataclasses import dataclass
from datetime import datetime
import time

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./llama-perplexity -m /mnt/llm/models/Qwen2.5-Coder-7B-Instruct-128k-Q6_K.gguf -f /mnt/llm/models/datasets/wiki.train.raw.txt -ngl 99999 -fa -b 2048 -c 6114 -sm none
ggml_cuda_init: GGML_CUDA_FORCE_MMQ:    no
ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
ggml_cuda_init: found 2 CUDA devices:
  Device 0: NVIDIA GeForce RTX 3090, compute capability 8.6, VMM: yes
  Device 1: NVIDIA GeForce RTX 3090, compute capability 8.6, VMM: yes
build: 1108 (c9c6e01d) with cc (GCC) 14.2.1 20240912 (Red Hat 14.2.1-3) for x86_64-redhat-linux
llama_load_model_from_file: using device CUDA0 (NVIDIA GeForce RTX 3090) - 24111 MiB free
llama_model_loader: loaded meta data with 27 key-value pairs and 339 tensors from /mnt/llm/models/Qwen2.5-Coder-7B-Instruct-128k-Q6_K.gguf (version GGUF V3 (latest))

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#!/usr/bin/env ruby

# https://asmirnov.xyz/vram
# https://vram.asmirnov.xyz

require "fileutils"
require "json"
require "open-uri"

# https://huggingface.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator/blob/main/index.html

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// ==UserScript==
// @name         Clean Reddit Links
// @namespace    http://tampermonkey.net/
// @version      0.1
// @description  Remove click.redditmail.com from Reddit links
// @author       You
// @match        *://*.reddit.com/*
// @grant        none
// ==/UserScript==

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! Dracula Theme for Reddit
www.reddit.com##body:style(background-color: #282a36 !important; color: #f8f8f2 !important;)
www.reddit.com##a:style(color: #bd93f9 !important;)
www.reddit.com##a:hover:style(color: #ff79c6 !important;)
www.reddit.com##button:style(color: #ff79c6 !important; border-color: #ff79c6 !important;)
www.reddit.com##button:hover:style(color: #f8f8f2 !important;)
www.reddit.com##.icon, svg:style(fill: #ff79c6 !important;)
www.reddit.com##h1, h2, h3, p, .r51dfG6q3N-4exmkjHQg_:style(color: #f8f8f2 !important;)
www.reddit.com##div._2X6EB3ZhEeXCh1eIVA64XM, ._24UNt1hkbrZxLzs5vkvuDh:style(background-color: #313244 !important;)
www.reddit.com##.Post, ._2WUlLsFSOnLb33dNA9kf50:style(background-color: #282a36 !important;)

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# https://github.com/oobabooga/text-generation-webui/blob/main/README.md
# https://github.com/oobabooga/text-generation-webui/blob/main/docs/Spell-book.md

# by default the Dockerfile specifies these versions: 3.5;5.0;6.0;6.1;7.0;7.5;8.0;8.6+PTX
# https://developer.nvidia.com/cuda-gpus you can find the version for your card here
# Tesla P100 = sm_60, sm_61, sm_62 and compute_60, compute_61, compute_62
# TORCH_CUDA_ARCH_LIST=6.0,6.1,6.2,7.0,7.5,8.0,8.6+PTX
# RTX3090 = sm_86 and compute_86 (PTX)
#8.6+PTX
# Tesla P100 = sm_60, sm_61, sm_62 and compute_60, compute_61, compute_62

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#!/bin/bash

# This script is used to describe an image using the LLM model
# It can be integrated with the Finder's "Open With" menu
# Example models: https://huggingface.co/mys/ggml_llava-v1.5-7b/tree/main

# Path to AI llama/llava tool binary
# LLAVA_BIN="${HOME}/git/llama.cpp/build/bin/llava"
LLAVA_BIN="/usr/local/bin/llava"

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"typescript" "manage and configure a list of Github repositories and their settings including branch protection rules"

$ upg

    __  ______  ____ _    UPG CLI
   / / / / __ \/ __ `/    Public Beta
  / /_/ / /_/ / /_/ /
 \__,_/ .___/\__, / 🇺🇸 Built by GPT Labs