AI & LLMs · Guide · AI & Prompt Tools
How to Deploy Llama Locally
Deploy Llama models locally online for free with our instant setup guide. Get an OpenAI-compatible API running in 30 minutes, no sign-up needed.
By FreeToolArena Staff · Updated June 2026 · 6 min read
Running Llama 3.3 or Llama 4 locally costs $0 in marginal cost, gives you full privacy, and works offline. The path is simpler in 2026 than it sounds — here’s the 30-minute setup.
Advertisement
Step 1: install Ollama
# macOS / Linux
curl -fsSL https://ollama.com/install.sh | sh
# Windows: download installer at ollama.comStep 2: pull a Llama model that fits your machine
- 16 GB RAM:
ollama run llama3.2:3b— fast, useful, surprisingly capable. - 32 GB RAM:
ollama run llama3.3:8borllama4:scout. - 64 GB RAM:
ollama run llama3.3:70b-q4_K_M— the flagship, slow but excellent. - 192 GB unified (Mac Studio Ultra):
llama4:maverick— full MoE flagship.
Step 3: chat or expose API
Type at the >>> prompt for chat. To expose an OpenAI-compatible API on your LAN:OLLAMA_HOST=0.0.0.0:11434 ollama serve. Point Cursor / Continue.dev at http://your-ip:11434/v1.
Speed expectations
- Llama 3.3 8B on a 4090 / M-series Mac: 60-90 tokens/sec.
- Llama 3.3 70B Q4 on Mac Studio M2 Ultra: 12-16 tokens/sec.
- Llama 3.3 70B Q4 on RTX 4090 + 64 GB DDR5 (offload): 8-12 tokens/sec.
For multi-machine pooling, see how to set up a hyperspace pod. Open weight tracker at open-source LLM tracker.
Use these while you read
Tools that pair with this guide
- Open-Source LLM TrackerLive tracker of 15 open-weight LLMs: Llama 3.3/4, Qwen 3.5, DeepSeek V3.2/R1, Kimi K2, Mistral Large 3, Gemma 3, Phi-4, SmolLM3. Filter by license.AI & Prompt Tools
- AI Prompt GeneratorTurn a vague idea into a structured prompt. Pick role, task, context, constraints, and output format. Works with ChatGPT, Claude, and Gemini.AI & Prompt Tools
- AI Prompt LibraryBrowse a curated catalog of prompt templates for writing, coding, marketing, and research. One click to copy.AI & Prompt Tools
- Custom GPT & Claude Project Prompt BuilderBuild a full custom GPT or Claude Project prompt with persona, rules, examples, and output schema. One copy-paste block for ChatGPT, Claude Projects, and assistants.AI & Prompt Tools
Advertisement
Continue reading
- AI & LLMsGitHub Copilot Pricing and ComparisonCompare free vs paid GitHub Copilot tiers and analyze it against ChatGPT, Cursor, and Tabnine. Find the best value plan instantly with this free online guide.
- AI & LLMsGitHub Copilot Features and CapabilitiesTest what Copilot really does — code accuracy, scope limits, debugging, web dev, legacy code, tests, docs, team customization. Free guide, no sign-up.
- AI & LLMsGitHub Copilot Security and Data HandlingAudit where your code goes, who sees it, training-data policy, network needs, and what happens when Copilot suggests broken code. Free, no sign-up.
- AI & LLMsAI Fluency SkillsThe 8 sub-skills of AI fluency: prompt structure, model selection, tool use, quality calibration, iteration, context management, cost awareness, privacy.
- AI & LLMsAnthropic Skills ExplainedSkills as Anthropic's answer to Custom GPTs — markdown-defined, version-controlled in git, work in terminal. Anatomy + Skills vs Custom GPTs.
- AI & LLMsKimi K2 vs DeepSeek V3Two open-weight Chinese flagships. Kimi K2 = 1M context, DeepSeek V3.2 = top-tier reasoning + coding. Pick by use case.