Local LLMs are open-source large language models (Llama 4, Qwen3.5, DeepSeek) that run on your own hardware instead of cloud APIs. Benefits: full privacy, offline capability, no usage limits, zero API costs.

How much VRAM do I need to run local LLMs?

7B parameter models need 8GB VRAM, 13B need 16GB, 70B need 48GB+ VRAM. GPU memory is more important than CPU memory. Use vLLM, Ollama, or LM Studio to optimize VRAM usage.

What is the difference between Ollama and LM Studio?

Ollama is a lightweight CLI tool for running models locally via simple commands. LM Studio provides a desktop GUI, better model management, and easier testing. Both support the same models (Llama, Mistral, etc.).

Can local LLMs match cloud models like GPT-4o?

Llama 4, DeepSeek V4, and Qwen3.5 perform similarly to GPT-4 on many tasks (coding, reasoning). GPT-5 and Claude 4.6 still excel on complex, multi-step reasoning. Test on your specific workload to compare.

How do I fine-tune a local model?

Fine-tuning local models requires: labeled training data (500+ examples), QLoRA framework for efficient training, 24GB+ VRAM (or use cloud GPU), and 1–4 hours of training time. LoRA adapters let you fine-tune without full retraining.

Local LLMs

2026年にAIモデルをローカルで実行するための完全ガイド。

ローカルLLMは完全なプライバシー、APIコストゼロ、オフライン機能を提供します。これらのガイドは、最初のインストールから70BモデルのファインチューニングW、ハードウェア選択、エンタープライズデプロイまでをカバーします。

Getting Started Models by Use Case Tools & Interfaces Hardware & Performance Advanced Techniques & Applications Enterprise GPU Buying Guides Hardware Setups Privacy & Business Cost & Comparisons

PromptQuorumはあなたのローカルLLM（Ollama、LM Studio、Jan AI）に接続し、プロンプトを25以上のクラウドモデルに同時に送信します。ローカルとクラウドの結果を一画面で比較できます。

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Getting Started

はじめに：最初のローカルLLMをどう実行するか？

Zero-to-running in under 10 minutes. OS-specific installation guides, first-model walkthroughs, and a privacy-first setup checklist for beginners.

What Are Local LLMs? How Running AI Models on Your Own Hardware Works Local LLMs vs Cloud APIs: Which Should You Use in 2026?How Do You Install Ollama: Complete Setup Guide for macOS, Windows, and Linux How Do You Install LM Studio: Desktop App Setup Guide for macOS, Windows, and Linux How Do You Run Your First Local LLM: From Install to First Response in 10 Minutes Best Local LLM Models for Beginners in 2026: Ranked by RAM, Speed, and Quality Local LLM One-Click Installers: Ollama vs LM Studio vs Jan AI vs GPT4All Compared Troubleshooting Local LLM Setup: Fix the 10 Most Common Errors How Do You Run Local LLMs on a Laptop: Performance, Thermals, and Model Selection Local LLM Security and Privacy Checklist: 12 Steps to a Safe Setup Local LLM Limitations: What Local Models Cannot Do (and When to Use Cloud Instead)

Models by Use Case

ユースケース別モデル：実際にどのローカルLLMを使うべきか？

Model reviews, benchmark comparisons, use-case winners, and quantization guides for Llama 4, Qwen3.5, DeepSeek, Gemma 4, and 70B+ models.

Best Local LLMs in 2026: Top Models Ranked by Task, Hardware, and Quality Qwen vs Llama vs Mistral: Which Local LLM Model Family Should You Use?Best Local LLMs for Coding in 2026: Ranked by HumanEval, RAM, and Language Support Best Local LLMs for Creative Writing in 2026: Fiction, Poetry, and Long-Form Content Small Local LLM Models: Best Sub-4B Models for Low RAM Machines in 2026 How Do You Run 70B Local LLM Models on Consumer Hardware in 2026 LLM Quantization Explained: How Q4_K_M, Q8_0, and GGUF Formats Work Multilingual Local LLMs: Best Models for Non-English Languages in 2026 Long Context Local LLMs: Which Models Handle 32K, 128K Tokens Locally?Top Open Source Models on Ollama in 2026: Most Downloaded and Highest Rated Local LLM Model Updates 2026: Every Major Open-Weight Release This Year Best Local LLMs for Code Review and Refactoring Best Local LLMs for Business Writing Best 7B Models for Consumer Hardware Fastest Local LLMs for Low-End PCs Q4 vs Q5 vs Q8: Which Quantization Level Should You Use?

Tools & Interfaces

ツールとインターフェース：どのソフトウェアが最も速く起動できるか？

Software showdowns, GUI comparisons, API setups, and front-end guides — Ollama, LM Studio, OpenWebUI, vLLM, llama.cpp, and more.

Ollama vs LM Studio in 2026: Which Local LLM Tool Should You Choose?Best Local LLM Frontends in 2026: Open WebUI, Enchanted UI, and More Text-Generation-WebUI vs vLLM vs llama.cpp in 2026: Inference Engine Comparison Local LLM OpenAI-Compatible API: Connect Python, Node.js, and JavaScript to Ollama LM Studio Advanced Features in 2026: GPU Settings, LoRA, and Fine-Tuning Ollama Command Guide: Every Command Explained (2026)Best Local RAG Tools in 2026: Open WebUI, LlamaIndex, and LangChain Desktop vs Web UI for Local LLMs: Which Interface Should You Choose?Local LLMs With VS Code and Cursor: Setup and Best Practices Headless Local LLMs: Running Models Without a UI (2026)Best Local LLM Stack by Use Case LM Studio vs Jan AI: Which Is Better for Local LLMs?Open WebUI vs SillyTavern: Best Chat UI for Local LLMs llama.cpp vs Ollama vs vLLM: Which Inference Backend?Best Local LLM Stack for Developers

Hardware & Performance

ハードウェアとパフォーマンス：ローカルLLMに本当に必要なものは？

Real hardware recommendations, VRAM math, GPU benchmarks, quantization trade-offs, and optimization tricks for RTX 5090, 4090, Mac Silicon, and budget builds.

Local LLM Hardware Guide 2026: GPU, CPU, and RAM Requirements Explained VRAM Calculator for Local LLMs: Calculate Exact GPU Requirements GPU vs CPU vs Apple Silicon for Local LLMs: Performance Breakdown Quantization, Offloading, and Layer Splitting: Advanced VRAM Reduction How to Double Local LLM Speed: Optimization Techniques Best GPUs for Local LLMs in 2026: Complete Benchmark and Selection Guide How to Run 70B Models on 24GB VRAM: Advanced Techniques Local LLM Power Consumption and Cooling: What You Actually Need Multi-GPU Local LLMs: Scaling With 2+ GPUs in 2026 Laptop vs Desktop for Local LLMs: Which Should You Choose?Mobile Local LLMs in 2026: Run AI Models on iPhone and Android

Advanced Techniques & Applications

高度なテクニック：基本的なチャット以上のことをどうするか？

Beyond basic chat — local RAG pipelines, LoRA fine-tuning, LangGraph agents, coding workflows, multimodal models, and custom model creation.

Local RAG 2026: Build Document Q&A Systems Without Cloud APIs Fine-Tuning Local LLMs With LoRA: Adapt Models to Your Domain Local AI Agents With LangGraph and Ollama: Build Autonomous Decision-Making Systems Prompt Engineering For Local Models: Techniques That Actually Work Private Local AI For Business: On-Premises Deployment Without Cloud Local LLMs For Coding Workflows: Code Generation, Review, and Testing Multimodal Local LLMs: Vision, Audio, and Text Processing Local vs Cloud Agents: When to Choose Each Approach Create Custom Local Models: Pre-Training and Domain Adaptation Future of Local LLMs: Trends and What's Coming in 2026+

Enterprise

エンタープライズ：組織はローカルLLMをどのようにスケールデプロイするか？

On-prem deployment, air-gapped setups, GDPR/HIPAA compliance, multi-user scaling, and private RAG for organizations requiring full data sovereignty.

Why Enterprises Use Local LLMs: Cost, Compliance, and Control On-Prem Air-Gapped Local LLMs: Isolated Deployment for Classified Environments Enterprise Compliance: GDPR, HIPAA, SOC2, and AI Regulations Scaling Local LLMs for Enterprise: Multi-User, Multi-GPU Production Deployment Corporate RAG With Local LLMs: Document Q&A for Organizations

GPU Buying Guides

GPU購入ガイド：ローカルLLM用にどのGPUを購入すべきか？

GPU recommendations, budget picks, next-gen comparisons, and used-market value for running 7B to 70B models.

Best Budget GPUs for Local LLMs RTX 5090 vs RTX 4090 for Local LLM Inference Used GPUs for Local LLMs: Best Value Picks How Much VRAM Do You Need for Local LLMs?Best AMD GPUs for Local LLMs

Hardware Setups

ハードウェアセットアップ：ローカルLLM用にどのコンピュータが必要か？

Complete system builds, mini PCs, laptops, and workstations at multiple price points for serious local inference.

Best Local LLM PC Build Under $1,000 Best Local LLM PC Build Under $2,000 Best Workstation Build for Serious Local AI Best Mini PCs for Running Local LLMs Best Laptops for Running Local LLMs

Privacy & Business

プライバシーとビジネス：組織向けにローカルLLMをどのように保護するか？

Secure on-premises setups, multi-user deployments, NAS storage, and offline workflows for compliance-heavy organizations.

Best Local LLM Setup for Sensitive Data Local LLM Setup for Business Teams Best NAS and Storage for Local AI Models VPNs and Local AI: What You Need to Know How to Build a Secure Offline Local LLM Workflow

Cost & Comparisons

コストと比較：ローカルvsクラウドvsサブスク—どれが安いか？

ROI analysis, price comparisons, total cost of ownership, and platform comparisons (Local vs CloudGPU vs Subscriptions).

Local LLMs vs ChatGPT Plus: Full Cost Comparison Local LLMs vs Claude Pro: Privacy, Cost, and Quality Local LLM vs Cloud GPU: What Is Cheaper?Mac vs Windows vs Linux for Local LLMs Is Buying a GPU Worth It vs Paying for AI Subscriptions?

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