ForgeOpus/ModelForge
A no-code toolkit to finetune LLMs on your local GPU—just upload data, pick a task, and deploy later. Perfect for hackathons or prototyping, with automatic hardware detection and a guided React interface.
ModelForge helps you customize large language models (LLMs) to better perform specific tasks like generating text, summarizing documents, or answering questions, all from your own computer. You simply upload your specific data, pick the task you want the model to learn, and then receive a fine-tuned LLM ready for use. This is for innovators, researchers, and project leaders who want to rapidly experiment with AI models without needing deep programming or machine learning expertise.
Use this if you want to quickly train a custom large language model on your own data for tasks like chatbots or summarization, using your local GPU without writing any code.
Not ideal if you need to train models on large-scale datasets that require distributed cloud infrastructure or if you don't have access to a dedicated GPU (NVIDIA or Apple Silicon).
Stars
11
Forks
3
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/ForgeOpus/ModelForge"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mozilla-ai/any-llm
Communicate with an LLM provider using a single interface
Maximilian-Winter/llama-cpp-agent
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models...
CliDyn/climsight
A next-generation climate information system that uses large language models (LLMs) alongside...
ShishirPatil/gorilla
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
OoriData/OgbujiPT
Client-side toolkit for using large language models, including where self-hosted