Hot-Swappabl-LoRA-Adapters

Rayzed0224/Hot-Swappabl-LoRA-Adapters

Hot-Swappabl-LoRA-Adapters is a machine learning model from Rayzed0224. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

This repository is organized by function rather than by loose root scripts.

Downloads · 30 days

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Public

Updated Apr 30, 2026

Repo size

5.5 GB

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Public

Hugging Face

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At a glance

Access: Public
Created: Apr 30, 2026
Updated: Apr 30, 2026
SHA: 46070514

Model card

From the Hugging Face model README

FYP Workspace

This repository is organized by function rather than by loose root scripts.

Start Here

Workspace layout: docs/workspace_guide.md
Final report mapping: docs/final_report_map.md
Report test matrix: docs/report_test_cases.md
Quick commands: readme.txt

Main Folders

fyp_core/: shared configuration, router logic, runtime guardrails, and dataset helpers
apps/: active inference entrypoints
training/: active LoRA training workflows
evaluation/: active benchmark and probe scripts
local_agent/: packaged desktop agent implementation
launchers/: desktop/backend launcher entrypoints
trained_local/: trained adapter folders
results/: evaluation outputs and summaries
archive/: legacy scripts and backups kept for reference

Common Commands

Run the Gradio app in WSL:

python3 -m apps.app

Train one niche adapter:

python3 -m training.train_expert --adapter minecraft_modding

Run the active niche benchmark:

python3 -m evaluation.benchmark_niche_adapters

Build the desktop executable on Windows:

.\build_local_agent_exe.ps1

Created: Apr 30, 2026
Updated: Apr 30, 2026