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ALLaM

A Saudi model for Arabic and English, trained from scratch. One 7B version is openly available.

Developer
HUMAIN (formerly SDAIA), Saudi Arabia
First release
Feb 2025
Latest release
Feb 2025
Sizes
7B
License
Commercial use allowedApache 2.0
Russian
Not supported
Ready-made builds
GGUF
Running
On your own serverNeeds a GPU
Industries
Public sector, Customer support, Education
Deploy on your server Hugging Face

What it does

  • An Arabic-language assistant
  • Answering questions about documents
  • Writing and editing texts in Arabic

Where it is used

Saudi public sectorEducationCustomer support

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
no versions

Versions

  1. ALLaM-7B-Instruct-preview

How to run it

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 ALLaM be used in a commercial project?

Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does ALLaM need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does ALLaM support Russian?

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

Where can I download ALLaM and what does it cost?

The ALLaM 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.

Similar models

TextJaisInception (G42), MBZUAI and Cerebras · UAECommercial use allowed

A model family for Arabic and English, including Gulf dialects. Suits companies working with Arabic-speaking customers and government bodies in the region.

DetailsTextK2 (K2-Think, K2-V2, K2-Horizon)MBZUAI, Institute of Foundation Models (IFM, LLM360 project) · UAECommercial use allowed

Fully open models from the UAE: data, training code and intermediate checkpoints are published along with the weights. K2-Horizon (2026) spans 0.9B to 375B with context up to 512K tokens.

Details

Source: huggingface.co/humain-ai/ALLaM-7B-Instruct-preview. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.