LV Nilesh lvnilesh

⚠️ This gist is archived development continues at usrbinkat/dmr

Thank you to everyone who starred, forked, commented, and reported issues here. The troubleshooting sections, model profiles, and deployment patterns in the new repository were informed by this community.

The new repository carries forward everything from this gist and adds:

Docker Model Runner — run Qwen3.8-27B via Docker Compose with no Ollama dependency
OpenCode integration — thin path from Docker Model Runner to local agentic coding via OpenCode
Platform install guides — tested Linux setup (Docker Engine + DMR + NVIDIA CUDA), macOS and Windows coming
All 12 Ollama model profiles from this gist, plus Open-WebUI integration

Asked Claude to:

write a one page pamphlet about moby dick using postscript.

Convert the PS to PDF using:

ps2pdf mobydick.ps

gistash

Stash files on gist.github.com

Installation

$ wget https://gist.githubusercontent.com/btbytes/73d6ddb0cf940e730edf22a60208691b/raw/fbf9efb44ee1c88eaaa3f62d6437737402ea74ce/gistash 
$ chmod +x gistash

kamal

This documentation adds important additions to the docs for kamal deploy tool (see github.com/basecamp/kamal)

Destination flag

You can use kamal deploy --destination staging

This will read config/deploy.yml and config/deploy.staging.yml files, and also will read .env.staging file if it exists.

-> <-

The Novice's LLM Training Guide

->Written by Alpin<- ->Inspired by /hdg/'s LoRA train rentry<- !!!warning This guide is being slowly updated. We've already moved to the axolotl trainer.

[TOC2]

Moved to nostr-resources.com

	{
	config,
	pkgs,
	options,
	...
	}: let
	hostname = "oatman-pc"; # to alllow per-machine config
	in {
	networking.hostName = hostname;

	start-at-login = true

	accordion-padding = 0
	gaps.inner.horizontal = 10
	gaps.inner.vertical = 10

	after-startup-command = [
	'workspace 1', 'layout h_accordion horizontal',
	'workspace 2', 'layout h_accordion horizontal',
	]

	#!/bin/bash

	# Verify if GPU is CUDA-enabled
	lspci \| grep -i nvidia

	# Remove previous NVIDIA driver installation
	sudo apt-get purge nvidia* -y
	sudo apt remove nvidia-* -y
	sudo rm /etc/apt/sources.list.d/cuda* -y
	sudo apt-get autoremove && sudo apt-get autoclean -y