MillionthOdin16

Workflow Orchestration

1. Plan Node Default

• Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions).
• If something goes sideways, STOP and re-plan immediately—don't keep pushing.
• Use plan mode for verification steps, not just building.
• Write detailed specs upfront to reduce ambiguity.

2. Subagent Strategy

MillionthOdin16

🦞 Multi-City Weather Report - 2026-01-12 01:51 UTC

Current Conditions:
==================
Seattle: 🌦   +48°F 93% ↑5mph
London: ☁️   +51°F 94% ↗11mph
Tokyo: ☀️   +45°F 49% →32mph
New+York: 🌧   +36°F 67% →17mph
Paris: ☁️   +41°F 87% ↑14mph

MillionthOdin16

Universal Model Adapter Fusion (UMAF): A Framework for Cross-Architecture Capability Transfer and Fusion

Abstract
The Universal Model Adapter Fusion (UMAF) framework enables the transfer and fusion of capabilities across language models of diverse architectures and scales. By leveraging a universal latent space for capability representation, a size interpolator for scaling, a fusion module for dynamic combination, and an adapter generator for parameter adjustments, UMAF produces lightweight, architecture-agnostic adapters. This paper provides a robust theoretical foundation, detailed methodological clarifications, and expanded experimental validation. UMAF demonstrates significant potential for creating bespoke, efficient AI models with enhanced interpretability and modularity.

---

1. Introduction

Large language models (LLMs) have achieved remarkable success in specialized tasks, yet transferring and combining their capabilities across models with differing architectures or scales remains a sig

MillionthOdin16

#!/usr/bin/env bash

# Copyright (c) 2021-2024 tteck
# Author: tteck (tteckster)
# License: MIT
# https://github.com/community-scripts/ProxmoxVE/raw/main/LICENSE

source /dev/stdin <<< "$FUNCTIONS_FILE_PATH"
color
verb_ip6

MillionthOdin16

from sentencepiece import SentencePieceProcessor # type: ignore
import json, struct, os, re, zipfile, pickle, itertools, sys, enum, threading, concurrent.futures, argparse
from pathlib import Path
import numpy as np
from collections import namedtuple
from typing import Optional, Callable, Type, Any, Iterable, IO, Sequence, Union, TypeVar
from dataclasses import dataclass

NDArray = np.ndarray[Any, Any]

MillionthOdin16

{
	"compiler": {
		"version": "0.8.7+commit.e28d00a7"
	},
	"language": "Solidity",
	"output": {
		"abi": [
			{
				"inputs": [],
				"stateMutability": "nonpayable",

MillionthOdin16

// SPDX-License-Identifier: MIT
// OpenZeppelin Contracts (last updated v4.7.0) (access/Ownable.sol)

pragma solidity ^0.8.0;

import "../utils/Context.sol";

/**
 * @dev Contract module which provides a basic access control mechanism, where
 * there is an account (an owner) that can be granted exclusive access to

MillionthOdin16

{
	"deploy": {
		"VM:-": {
			"linkReferences": {},
			"autoDeployLib": true
		},
		"main:1": {
			"linkReferences": {},
			"autoDeployLib": true
		},

MillionthOdin16

// SPDX-License-Identifier: MIT
// OpenZeppelin Contracts (last updated v4.7.0) (access/Ownable.sol)

pragma solidity ^0.8.0;

import "../utils/Context.sol";

/**
 * @dev Contract module which provides a basic access control mechanism, where
 * there is an account (an owner) that can be granted exclusive access to