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Falcon

The open-weight model family from the Technology Innovation Institute in Abu Dhabi, an early open-model leader with permissive licensing and self-hostable sizes.

TII (UAE)7 min readfalconllm.tii.ae

What is Falcon?

Falcon is a family of open-weight language models from the Technology Innovation Institute (TII), a research institute in Abu Dhabi, United Arab Emirates. Falcon was one of the early open-model leaders, and the institute has continued releasing newer generations, including smaller efficient models and hybrid-architecture variants.

The models are published with permissive licensing on common hubs, so you can download, run, and fine-tune them in your own environment. They support general text tasks and multiple languages, with a focus on being freely deployable.

Falcon is worth evaluating when you want open weights from a non-US, non-China lab with permissive terms, and when self-hosting and the freedom to deploy matter for your use case.

Strengths

What it's best for

  • Self-hosting open weights with permissive licensing, including commercial use.
  • Teams seeking a model family outside the US and China for sourcing or governance reasons.
  • Efficient smaller models for on-premises and resource-constrained deployment.
  • Fine-tuning on your own data to build a specialized model you fully control.
  • Multilingual text tasks, including Arabic alongside other languages.
Limits

Where it falls short

  • Being the strongest model on every current benchmark; Falcon's draw is openness and deployability more than topping leaderboards.
  • A polished consumer chatbot or a managed enterprise platform out of the box.
  • Native image, audio, or video generation; Falcon is a text model family.
How to use it

Ways in

Download the Falcon open weights from common hubs like Hugging Face and run them under standard runtimes. Choose a size that fits your hardware and latency budget.

There is no single official consumer app; Falcon is used primarily by developers and researchers who host it themselves or through a cloud provider.

How to use it

Fine-tuning and deployment

Because the weights are open and permissively licensed, you can fine-tune Falcon on your own data and deploy the result without a per-token vendor bill.

Confirm the specific license for the Falcon generation you choose, then host it in your own environment for full data control.

Pricing

What Falcon costs

Approximate, in USD, as of January 2026. Prices change often. Confirm on the official site before you rely on them.

Open weights

$0 (self-host)

Permissively licensed; download and run freely, paying only your own compute.

Cloud / hosted

Usage-based

Run Falcon through third-party inference providers if you prefer not to self-host.

Visit the official Falcon site
Try it

Example prompts

Copy these into Falcon as starting points, then adapt them to your task.

Self-hosted assistantCopy prompt
You are a helpful assistant running on our own servers. Answer the question concisely and, if you are unsure, say so rather than inventing details.
Fine-tune data prepCopy prompt
Turn these support transcripts into a clean instruction-tuning dataset: one example per row with a user message and the ideal assistant reply. Remove any personal data.
Multilingual taskCopy prompt
Translate the following text into Arabic, keeping the formal tone, then provide a short note on any phrases that do not translate cleanly.
Sourcing rationaleCopy prompt
Explain the trade-offs of choosing an open-weight model from a non-US, non-China lab like Falcon for a deployment with strict sourcing and data-control requirements.
FAQ

Falcon
common questions.

Direct answers to the questions we get asked the most. If yours isn't covered, write to the team.

Work with SDEN

Putting AI into production?

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Falcon guide · SDEN