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Every self-hosted model on Free.ai is open-source under permissive licenses (Apache 2.0, MIT, BSD). No Llama/Meta licenses. We believe AI should be transparent, auditable, and free to use.

Àwọn àwọn ìṣàmúlò-ètò Àkọ́kọ́

Àwọn ìṣàmúlò-ètò	Àwọn Ìṣàmúlò-ètò	Àwọn Ààyè-iṣẹ́	Àwọn Ìṣàmúlò-ètò
Qwen2.5-72B	Ìgbàkọ́ ìpele, ìṣàfarawé, ìṣàfilọ́lẹ̀	Apache	HuggingFace
Qwen2.5-7B	Àwọn iṣẹ́ ìṣàfarawékọ́, àwọn àkọlé àìpẹ̀	Apache	HuggingFace
Mistral-7B	Àwọn àkọlé àìpẹ́, àwọn ìṣàfarawé	Apache	HuggingFace
Phi-3	Ìṣàmúlò-ètò àìdálẹ̀, àwọn máthematiki	MIT	HuggingFace

Àwọn ìṣàmúlò-ètò

Àwọn ìṣàmúlò-ètò	Àwọn Ìṣàmúlò-ètò	Àwọn Ààyè-iṣẹ́	Àwọn Ìṣàmúlò-ètò
Qwen2.5-Coder-32B	Ìṣàfilọ́lẹ̀ àwọn ìṣàmúlò-ètò	Apache	HuggingFace
DeepSeek-Coder-V2-Lite	Ìparí iṣẹ́ àwọn àyọkà, ìṣàfarawé	MIT	HuggingFace

Àwọn àwòrán

Àwọn ìṣàmúlò-ètò	Àwọn Ìṣàmúlò-ètò	Àwọn Ààyè-iṣẹ́	Àwọn Ìṣàmúlò-ètò
FLUX.1-Fast	Àwọn àwòrán	Apache	HuggingFace
Ìjánu-ìró XL	Àwọn àwòrán ìṣàfarawé ìwọ̀n	OpenRAIL++	HuggingFace
Kandinsky	Àwòrán	Apache	HuggingFace
CogVideoX-2B	Ìṣàfilọ́lẹ̀ àwòrán láti inú àkọlé	Apache	HuggingFace
Àwọn Ìjánu-ìsún	Àwọn ìṣàfarawé àwòrán	Apache	HuggingFace

Àwọn àwọn ìṣàmúlò-ètò Àkọ́kọ́

Àwọn ìṣàmúlò-ètò	Àwọn Ìṣàmúlò-ètò	Àwọn Ààyè-iṣẹ́	Àwọn Ìṣàmúlò-ètò
Àwọn àyọkà ìṣàfarawégbèsì	Àkọlé-si-Ìrọ̀kọ̀ọ̀kan	Apache	HuggingFace
Àwọn àyọkà ìṣàfarawégbèsì	Àkọlé-si-Ìrọ̀kọ̀ọ̀kan	MIT	GitHub
MeloTTS	Àkọlé-si-Ìrọ̀kọ̀ọ̀kan	MIT	GitHub
Àwọn Àkọlé	Àkọlé-si-Ìrọ̀kọ̀ọ̀kan	MIT	HuggingFace
TTS	Àkọlé-si-Ìrọ̀kọ̀ọ̀kan	Apache	HuggingFace
Ìjánu-ìjánu-ìjánu-ìjánu-ìjánu-ìjánu-ìjánu-ìjánu-ìjánu-ìjánu	Àwọn àkọlé	MIT	GitHub
Àwọn àwọn àyọkà ìṣàfarawégbèsì	Àwọn àkọlé	Apache	GitHub
LDM Àwọn Àmì-ìwé	Ìṣàfilọ́lẹ̀ ìṣàmúlò-ètò	Apache	HuggingFace
Àwọn àyọkà ìṣàfarawégbèsì	Ìpàpọ̀ ìṣàfarawé kọ̀ǹpútà	MIT	GitHub

Àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn

Àwọn ìṣàmúlò-ètò	Àwọn Ìṣàmúlò-ètò	Àwọn Ààyè-iṣẹ́	Àwọn Ìṣàmúlò-ètò
LAD-400 3B	Àwọn Àkọlé	Apache	HuggingFace
Àwọn Àwọn Àwọn Àwọn Àwọn	Ìṣàmúlò-ètò àwòrán	BSD	GitHub
BRIA RMBG 2.0	Ìjánu-ìsún	Apache	HuggingFace
Àwọn Àwọn Àwọn Àwọn	Àwọn àwọn ààyè-iṣẹ́ àwòrán	Apache	GitHub
_Pa Àwọn Àwọn Àwọn Àwọn Àwọn	Àwọn àwọn àwọ̀ àwòrán	MIT	GitHub
all-MiniLM-L6-v2	Àwọn àgbékalẹ̀ àyọkà	Apache	HuggingFace
Tesseract	OCR	Apache	GitHub

Àtòjọ-ètò Àwọn Ààyè-iṣẹ́ Òjó

Ó jẹ́ olùdárà àìṣàfilọ́lẹ̀-ìṣàfilọ́lẹ̀? A ń funni ní ìṣàfilọ́lẹ̀ Pro ọ̀fẹ̀ fún àwọn ìṣàfilọ́lẹ̀ tí ń ṣiṣẹ́. Ṣẹ̀dá wa láti jẹ́ líǹkì sí ìṣàfilọ́lẹ̀ rẹ̀.

Wá Àwọn Àtòjọ-ẹ̀yàn GPU Infrastructure

FAQ

Yes. Every model we run on our GPU servers is open-source under permissive licenses -- Apache 2.0, MIT, or BSD. We deliberately exclude models with restrictive licenses like Meta's Llama license. You can inspect, use, and modify all models freely.

Meta's Llama license includes restrictions on commercial use for large companies and requires specific attribution. We only use models with truly permissive licenses (Apache 2.0, MIT, BSD) that allow unrestricted commercial and personal use by anyone.

Every model in our table links to its source on HuggingFace or GitHub. You can download the weights directly from these repositories and run them on your own hardware.

Qwen2.5-72B is our most capable chat model for complex reasoning and analysis. Qwen2.5-7B and Mistral-7B are faster options for everyday tasks. Phi-3 is excellent for efficient reasoning and math.

We use five text-to-speech models: Kokoro (Apache 2.0), Piper (MIT), MeloTTS (MIT), Chatterbox (MIT), and OuteTTS (Apache 2.0). Each has different strengths in voice quality, speed, and language support.

FLUX.1-schnell for fast generation (Apache 2.0), Stable Diffusion XL for high-quality images (OpenRAIL++), and Kandinsky 2.2 for artistic styles (Apache 2.0). For video, we use CogVideoX-2B and AnimateDiff.

If you have developed or know of an open-source model under a permissive license that you think we should host, contact us. We evaluate models based on quality, license compatibility, and user demand.

Active open-source contributors and maintainers can apply for free Pro access to Free.ai. If you maintain a popular open-source project, contact us with a link to your work and we will upgrade your account.

We evaluate every model before deploying it based on benchmark performance, real-world output quality, inference speed, and license compliance. Only models that meet our quality bar are added to the platform.

We use MadLAD-400 3B from Google, which supports 450+ languages under an Apache 2.0 license. It handles even low-resource languages that many commercial translation services do not support.

Real-ESRGAN (BSD) for image upscaling, BRIA RMBG 2.0 (Apache 2.0) for background removal, SAM (Apache 2.0) for image segmentation, and DeOldify (MIT) for photo colorization.

Not all of them. We provide access to 346+ models from various providers, including proprietary models like GPT-4o, Claude, and Gemini. These are proxied through their respective providers and have their own licensing terms separate from our self-hosted open-source models.

Free AI for Open Source | Free.ai

100% Open-Source AI Models

Àwọn àwọn ìṣàmúlò-ètò Àkọ́kọ́

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Àwọn àwọn ìṣàmúlò-ètò Àkọ́kọ́

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