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Llama

The models that started mass open source in AI. A huge ecosystem of fine-tuned versions and tools.

Developer
Meta, USA
First release
Feb 2023
Latest release
Apr 2025
Sizes
1B – 405B
License
Commercial use with conditionsLlama Community License
Russian
Not supported
Ready-made builds
GGUF, AWQ, GPTQ, MLX (Apple)
Running
Available in OllamaAlso runs without a GPU
Industries
Customer support, Education, Software development
Deploy on your server Hugging Face GitHub

What it does

  • Assistant for employees
  • Summaries of meetings and documents
  • Base for industry-specific fine-tuning
  • Image understanding (Vision versions)

Where it is used

Corporate assistantsEducationAI product development

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
fits

Versions

  1. Llama 4
  2. Llama 3.3
  3. Llama 3.2
  4. Llama 3.1
  5. Llama 3
  6. Llama 2
  7. LLaMA

How to run it

With Ollama — the fastest wayInstall Ollama on your computer or server and find the model in its library by name. Good enough to try the model on your own tasks in one evening.Find it in the Ollama library
On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can Llama be used in a commercial project?

With conditions. License: Llama Community License. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does Llama need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Llama support Russian?

No. The model card lists its languages and Russian is not among them.

Where can I download Llama and what does it cost?

The Llama weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Comparisons

Similar models

TextQwenAlibaba · ChinaCommercial use with conditions

A family of language models with strong Russian language support, from small versions for a laptop to a flagship on par with commercial APIs.

DetailsTextGemmaGoogle · USACommercial use allowed

Compact Google models that run well on a single computer; larger versions understand images. Includes CodeGemma for code, FunctionGemma 270M for function calling and the fast DiffusionGemma.

DetailsTextMistralMistral AI · FranceCommercial use with conditions

European models focused on speed. Mixtral was one of the first open mixture-of-experts models; there are versions for images (Pixtral, Medium 3.5), Lean proofs and moderation (Shieldstral).

Details

Source: huggingface.co/meta-llama. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.