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Mofuta o mong le o mong o sebetseng ka bomong ka Free.ai ke mohloli o bulehileng ka tlase ho litokelo tse lumellanang (Apache 2.0, MIT, BSD). Ha ho Llama/Meta litokelo. Re nahana hore AI e lokela ho ba e hlakileng, e ka hloloheloa, le e bolokehile ho e sebelisa.

Chat Litlhaku tsa Senyesemane

MofutaHo sebelisaLaesenseMofuta
Qwen2.5-72BLipuisano tsa kajeno, litlhaku, litlhakuApache 2.0HuggingFace
Qwen2.5-7BLipuisano tse potlakileng, mesebetsi e bonoloApache 2.0HuggingFace
Mistral-7BLipuisano tse potlakileng, tse sebelisoang ka bongataApache 2.0HuggingFace
Phi-3Ho nahana ka ho nepahetseng, lipaloMITHuggingFace

Li-code Models

MofutaHo sebelisaLaesenseMofuta
Qwen2.5-Coder-32BHo theha khoutu, ho tlosa liphosoApache 2.0HuggingFace
DeepSeek-Coder-V2-LiteHo kopanyaMITHuggingFace

Litšoantšo le livideo

MofutaHo sebelisaLaesenseMofuta
FLUX.1-speedHo theha setšoantšo ka potlakoApache 2.0HuggingFace
Stable Diffusion XLHo theha setšoantšo se nang le boleng bo phahamengOpenRAIL++HuggingFace
Kandinsky 2.2Ho theha setšoantšo sa setsebiApache 2.0HuggingFace
CogVideoX-2BHo theha video ho tloha ho tekengApache 2.0HuggingFace
AnimateDiffHo seha videoApache 2.0HuggingFace

Litšoantšo tsa puo le tsa molumo

MofutaHo sebelisaLaesenseMofuta
KokoroText-to-speechApache 2.0HuggingFace
PiperText-to-speechMITGitHub
MeloTTSText-to-speechMITGitHub
ChatterboxText-to-speechMITHuggingFace
TTSText-to-speechApache 2.0HuggingFace
faster-whisperHo bua ho ea ho ngolaMITGitHub
Li-waxHo bua ho ea ho ngolaApache 2.0GitHub
ACE-Step 3.5BHo theha lipinaApache 2.0HuggingFace
DemucsHo arola lipinaMITGitHub

Ho fetolela, ho bona le li-models tse ling

MofutaHo sebelisaLaesenseMofuta
MadLAD-400 3BHo fetolela (450+ lipuo)Apache 2.0HuggingFace
Real-ESRGANHo phahamisa setšoantšoBSDGitHub
BRIA RMBG 2.0Ho tlosa sehloohoApache 2.0HuggingFace
USHo arolelana setšoantšoApache 2.0GitHub
Ho tlosa ho qalaHo lekola litšoantšoMITGitHub
all-MiniLM-L6-v2Li-embeds tsa mongoloApache 2.0HuggingFace
TesseractOCRApache 2.0GitHub

Program ea ho boloka lifaele

Na u motsamaisi oa li-open-source? Re fana ka phihlello e mahala ea Pro ho ba ngolisitseng ba sebetsang. Iteanye le rona ka ho hokahanya projeke ea hau.

Lipotso tse botsoang khafetsa

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.

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