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Àwọn ìṣàmúlò-ètò AI

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.

Chat Àwọn ìṣàmúlò-ètò Àwọn

Àwọn ìṣàmúlò-ètò	Àwọn Ìṣàmúlò-ètò	Àwọn Àmì-ìwé	Àwọn Ìṣàmúlò-ètò
Qwen2.5-72B	Ìgbàkọ́ ìpele, ìṣàfarawé, ìṣàfarawé	_Ìṣàmúlò-ètò	HuggingFace
Qwen2.5-7B	Àwọn àkọlé àìpẹ́, àwọn iṣẹ́ àìpẹ́	_Ìṣàmúlò-ètò	HuggingFace
Mistral-7B	Àwọn àkọlé àìpẹ́, àwọn ìṣàmúlò-ètò ìpele	_Ìṣàmúlò-ètò	HuggingFace
Phi-3	Ìṣàmúlò-ètò, àwọn mátírika	MIT	HuggingFace

Àwọn ìṣàmúlò-ètò

Àwọn ìṣàmúlò-ètò	Àwọn Ìṣàmúlò-ètò	Àwọn Àmì-ìwé	Àwọn Ìṣàmúlò-ètò
Qwen2.5-Coder-32B	Ìṣàfilọ́lẹ̀ àwọn àmì-ìwé, ìṣàmúlò-ètò	_Ìṣàmúlò-ètò	HuggingFace
DeepSeek-Coder-V2-Lite	Ìṣàmúlò-ètò ìṣàfarawé àwọn àkóónú	MIT	HuggingFace

Àwọn ìṣàmúlò-ètò àwòrán

Àwọn ìṣàmúlò-ètò	Àwọn Ìṣàmúlò-ètò	Àwọn Àmì-ìwé	Àwọn Ìṣàmúlò-ètò
_Ìjáde	Àwọn àwòrán	_Ìṣàmúlò-ètò	HuggingFace
_Ìṣàmúlò-ètò	Àwọn ààtò àwòrán	OpenRAIL++	HuggingFace
_Ìṣàmúlò-ètò	Àwọn àwòrán àwọn àwọn àwòrán	_Ìṣàmúlò-ètò	HuggingFace
_Ìṣàmúlò-ètò	Ìṣàfilọ́lẹ̀ àwọn ààyè-iṣẹ́ láti inú àkọ́lé	_Ìṣàmúlò-ètò	HuggingFace
Àwọn Ìjánu-ìṣàmúlò-ètò	Àwọn ìṣàmúlò-ètò àwọn àwòrán	_Ìṣàmúlò-ètò	HuggingFace

Àwọn ìṣàmúlò-ètò Àkọ́kọ́

Àwọn ìṣàmúlò-ètò	Àwọn Ìṣàmúlò-ètò	Àwọn Àmì-ìwé	Àwọn Ìṣàmúlò-ètò
_Ìṣàmúlò-ètò	Àkọ́lé-si-Ìrọ̀kọ̀ọ̀kan	_Ìṣàmúlò-ètò	HuggingFace
_Ìṣàmúlò-ètò	Àkọ́lé-si-Ìrọ̀kọ̀ọ̀kan	MIT	GitHub
_Ìṣàmúlò-ètò	Àkọ́lé-si-Ìrọ̀kọ̀ọ̀kan	MIT	GitHub
_Ìṣàmúlò-ètò	Àkọ́lé-si-Ìrọ̀kọ̀ọ̀kan	MIT	HuggingFace
Àwọn Ìjánu-ìsún	Àkọ́lé-si-Ìrọ̀kọ̀ọ̀kan	_Ìṣàmúlò-ètò	HuggingFace
_Ìṣàmúlò-ètò	Àwọn Àkọlé	MIT	GitHub
Àwọn àwọn àyọkà ìṣàmúlò-ètò	Àwọn Àkọlé	_Ìṣàmúlò-ètò	GitHub
ACE-Step 3.5B	Ìṣàfilọ́lẹ̀ ìṣàmúlò-ètò	_Ìṣàmúlò-ètò	HuggingFace
_Ìṣàmúlò-ètò	Ìjádé àwọn àyọkà ìṣàfarawé	MIT	GitHub

Àwọn ìṣàfarawé, àwọn ìṣàmúlò-ètò àti àwọn àwọn ìṣàmúlò-ètò mìíràn

Àwọn ìṣàmúlò-ètò	Àwọn Ìṣàmúlò-ètò	Àwọn Àmì-ìwé	Àwọn Ìṣàmúlò-ètò
LAD-400 3B	Àwọn ìtumọ̀ (450+ ede)	_Ìṣàmúlò-ètò	HuggingFace
_Ìṣàmúlò-ètò	Ìṣàmúlò-ètò àwòrán	BSD	GitHub
BRIA RMBG 2.0	Ìjádé àwọn ààyè-iṣẹ́	_Ìṣàmúlò-ètò	HuggingFace
Àwọn Àkọ́lé	Àwọn ààyè-iṣẹ́ àwọn àwòrán	_Ìṣàmúlò-ètò	GitHub
_Ṣẹ̀dà	Àwọn àwọn àwọ̀ àwòrán	MIT	GitHub
All-MiniLM-L6-v2	Àwọn ìṣàmúlò-ètò àkọlé	_Ìṣàmúlò-ètò	HuggingFace
Tésérákì	OCR	_Ìṣàmúlò-ètò	GitHub

Àtòjọ-ètò Àwọn Ààtò Ìṣàmúlò-ètò

Ó jẹ́ olùdárà àìṣàfilọ́lẹ̀ àìṣàfilọ́lẹ̀? Àwà ǹfi ààyè Pro ọ̀fẹ́ fún àwọn ìṣàmúlò-ètò tí wọ́n ń ṣiṣẹ́. Ṣẹ̀dà wà ní àìṣàfilọ́lẹ̀ láti fi líǹkì sí ìṣàfilọ́lẹ̀ rẹ̀.

Wá Àwọn Àtòjọ-ẹ̀yàn Àwọn Ìṣàmúlò-ètò GPU

Àwọn Àtòjọ-ẹ̀yàn

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

Àwọn ìṣàmúlò-ètò AI

Chat Àwọn ìṣàmúlò-ètò Àwọn

Àwọn ìṣàmúlò-ètò

Àwọn ìṣàmúlò-ètò àwòrán

Àwọn ìṣàmúlò-ètò Àkọ́kọ́

Àwọn ìṣàfarawé, àwọn ìṣàmúlò-ètò àti àwọn àwọn ìṣàmúlò-ètò mìíràn

Àtòjọ-ètò Àwọn Ààtò Ìṣàmúlò-ètò

Àwọn Àtòjọ-ẹ̀yàn

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