MillionthOdin16 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

	// 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

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

	// 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

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

	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]

	#!/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