---
title: "The local / self-hosted LLM stack"
type: "stack"
slug: "local-llm"
canonical_url: "https://www.graphcanon.com/stacks/local-llm"
---

# The local / self-hosted LLM stack

Running open models yourself for privacy, cost, or control. The stack is a serving runtime, optional fine-tuning, and supporting tooling.

## 1. Inference & Serving

Inference runtime - serve open-weight models efficiently on your hardware.

**When not to use:** Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

- [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on w (★ 185,418)
- [transformers](/tools/huggingface-transformers.md) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models,  (★ 162,346)
- [TradingAgents](/tools/tauricresearch-tradingagents.md) - TradingAgents: Multi-Agents LLM Financial Trading Framework (★ 91,606)
- [lobehub](/tools/lobehub-lobehub.md) - 🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI  (★ 79,579)

## 2. Model Training

Fine-tuning - adapt an open model to your domain with LoRA or full fine-tunes.

**When not to use:** Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

- [transformers](/tools/huggingface-transformers.md) - 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models,  (★ 162,346)
- [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) - Implement a ChatGPT-like LLM in PyTorch from scratch, step by step (★ 98,709)
- [vllm](/tools/vllm-project-vllm.md) - A high-throughput and memory-efficient inference and serving engine for LLMs (★ 85,611)
- [llm-course](/tools/mlabonne-llm-course.md) - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. (★ 80,726)

## 3. Developer Tools

Tooling & gateways - a unified API in front of your local models.

**When not to use:** Direct calls are fine for a single local model with one consumer.

- [JavaGuide](/tools/snailclimb-javaguide.md) - Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发 (★ 156,863)
- [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development. (★ 148,066)
- [firecrawl](/tools/firecrawl-firecrawl.md) - The API to search, scrape, and interact with the web at scale. 🔥 (★ 147,107)
- [browser-use](/tools/browser-use-browser-use.md) - 🌐 Make websites accessible for AI agents. Automate tasks online with ease. (★ 103,311)

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/categories`](/api/graphcanon/categories)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
