Meta's open-weight family that anchors the self-hosted ecosystem. Built by Meta, it is strongest as an AI models tool. You run it locally or self-host it and it is open source, so you can self-host or bring your own key. Reach for it when you need open weights, fine-tuning, self-hosting.
Specs
Capabilities
Tips from the floor
Reach for Llama on open weights before anything else.
Give the fine-tuning a real task before you judge it.
Learn Llama
Start with the course closest to Llama, then work through the tutorials below and the step-by-step how-to guides.
Guides for Llama·2
How to Run Llama 3 Locally with Ollama
Pull the Llama 3.3 model, run an interactive chat session, switch between the 8B and 70B variants, and understand the VRAM requirements for each size.
How to Fine-Tune Llama 3 on Your Own Data with Unsloth
Install Unsloth, load Llama 3, format your JSONL dataset, run a LoRA training job, and export the result as a GGUF file ready for Ollama.
Tutorial videos·15
More tutorials on YouTubeTop 0 cover Llama directly. The rest are related picks from the same space.
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