Free AI for Open Source

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100% очиқ манбали AI моделлари

Free.ai'даги барча ўзига хос моделлар рухсат берувчи лицензиялар (Apache 2.0, MIT, BSD) остида очиқ манбалидир. Llama/Meta лицензиялари йўқ. Биз AI очиқ, текширилиши мумкин ва фойдаланиш учун бепул бўлиши керак деб ўйлаймиз.

Chat тил моделлари

МодельИшлатиш ҳолатиЛицензияМанба
Qwen2.5-72BУмумий суҳбат, фикрлаш, таҳлилApache 2.0HuggingFace
Qwen2.5-7BТез суҳбат, енгил вазифаларApache 2.0HuggingFace
Mistral-7BТез суҳбат, умумий мақсадApache 2.0HuggingFace
Phi-3Эффектив фикрлаш, математикаMITHuggingFace

Код моделлари

МодельИшлатиш ҳолатиЛицензияМанба
Qwen2.5-Coder-32BКод яратиш, хатоларни тузатишApache 2.0HuggingFace
DeepSeek-Coder-V2-LiteКод тугалланиши, кўриб чиқишMITHuggingFace

Расм ва видео моделлари

МодельИшлатиш ҳолатиЛицензияМанба
FLUX.1-тезСурат тез яратиладиApache 2.0HuggingFace
Стабил диффузия XLЮқори сифатли тасвир яратишOpenRAIL++HuggingFace
Кандинский 2.2Расм яратишApache 2.0HuggingFace
CogVideoX-2BМатндан видео яратишApache 2.0HuggingFace
AnimateDiffВидео анимациясиApache 2.0HuggingFace

Сўзлашув ва аудио моделлари

МодельИшлатиш ҳолатиЛицензияМанба
KokoroМатндан сўзгаApache 2.0HuggingFace
PiperМатндан сўзгаMITGitHub
MeloTTSМатндан сўзгаMITGitHub
ChatterboxМатндан сўзгаMITHuggingFace
ТТС-чиқаришМатндан сўзгаApache 2.0HuggingFace
faster-whisperМатнга сўзлашMITGitHub
ВакуумМатнга сўзлашApache 2.0GitHub
ACE-Step 3.5BМусиқа яратишApache 2.0HuggingFace
DemucsМусиқа ажратишMITGitHub

Таржима, кўриш ва бошқа моделлар

МодельИшлатиш ҳолатиЛицензияМанба
MadLAD-400 3BТаржима (450+ тил)Apache 2.0HuggingFace
Real-ESRGANРасмнинг катталашишиБСДGitHub
BRIA RMBG 2.0Орқа фонни олиб ташлашApache 2.0HuggingFace
АМРасм сегментациясиApache 2.0GitHub
Ўтказиб юборишФотосурат рангини ўзгартиришMITGitHub
all-MiniLM-L6-v2Матн ёпишқоқлариApache 2.0HuggingFace
ТессерактOCRApache 2.0GitHub

Очиқ манбали қўллаб-қувватлаш дастури

Сиз очиқ манбали қўллаб-қувватловчимисиз? Биз фаол ёрдамчиларга бепул Pro киришини таклиф қиламиз. Биз билан алоқада бўлинг ўз лойиҳангизга ҳавола билан.

Кўп бериладиган саволлар

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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