
Llama
Made Crystal Clear
A practical, visual guide to Meta's open-weight models, from first download to production
Llama is the open-weight family that seeded a whole ecosystem, and this book is honest about where that leaves it now: still the licence and the toolchain most people learn on, even as its own community has drifted to other models. You will get the parts that outlast any one release. What the Llama Community License actually obligates, including the clause most people never read. How to size a rig and pick a quantisation so a model fits your card. How to run it with llama.cpp and Ollama, step by step. And the one privacy fact that makes open weights worth the trouble: run them locally and nothing leaves your machine, because no network call is required.
- Pages
- 125
- Level
- Beginner to advanced
- Status
- Available
Inside the book
- 01What Llama Actually Is
- 02Where Llama Actually Stands, Post-Llama-4
- 03The Licence: What You're Actually Agreeing To
- 04What Llama Actually Costs: Local vs Hosted
- 05Choosing Your Model and Size
- 06Hardware and VRAM: Sizing Your Rig
- 07Quantization and GGUF, Properly Explained
- 08The Toolchain: llama.cpp, Ollama, vLLM, and LM Studio
- 09Running Llama with llama.cpp
- 10Running Llama with Ollama
- 11Fine-tuning and Customizing Llama
- 12Privacy: What Leaves Your Machine
- 13Hosted and Production: Cloud Partners, Edge, and the Llama API Question
- 14The Business Case: Llama vs the Alternatives
- 15The Playbook, Cheat Sheet, and Where to Go Next
You'll leave with
- Read where Llama actually stands today, without the reverence
- Understand the Community License, including the 700M-user clause
- Size a rig: which model and quant fit your VRAM
Reviews
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