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100% Mudelli AI b'sors miftuħ
Kull mudell self-hosted fuq Free.ai huwa open-source taħt liċenzji permissivi (Apache 2.0, MIT, BSD). Nru Llama/Meta liċenzji. Aħna nemmnu AI għandha tkun trasparenti, awditjabbli, u ħielsa biex tuża.
Chat Mudelli tal-Lingwa
| Mudell | Każ ta’ Użu | Liċenzja | Sors |
|---|---|---|---|
| Qwen2.5-72B | Chat ġenerali, raġunament, analiżi | Apache 2.0 | HuggingFace |
| Qwen2.5-7B | Chat veloċi, kompiti ħfief | Apache 2.0 | HuggingFace |
| Mistral-7B | Chat veloċi, skop ġenerali | Apache 2.0 | HuggingFace |
| Phi-3 | Raġunament effiċjenti, matematika | MIT | HuggingFace |
Mudelli ta’ Kodiċi
| Mudell | Każ ta’ Użu | Liċenzja | Sors |
|---|---|---|---|
| Qwen2.5-Coder-32B | Ġenerazzjoni tal-kodiċi, debugging | Apache 2.0 | HuggingFace |
| DeepSeek-Coder-V2-Lite | Tlestija tal-kodiċi, reviżjoni | MIT | HuggingFace |
Mudelli tal-immaġni & tal-vidjo
| Mudell | Każ ta’ Użu | Liċenzja | Sors |
|---|---|---|---|
| FLUX.1-veloċi | Ġenerazzjoni tal-immaġni veloċi | Apache 2.0 | HuggingFace |
| Diffużjoni stabbli XL | Ġenerazzjoni immaġni kwalità għolja | OpenRAIL++ | HuggingFace |
| Kandinsky 2.2 | Ġenerazzjoni tal-immaġni artistika | Apache 2.0 | HuggingFace |
| CogVideoX-2B | Ġenerazzjoni tal-vidjo minn test | Apache 2.0 | HuggingFace |
| AnimateDiff | Animazzjoni tal-vidjo | Apache 2.0 | HuggingFace |
Mudelli tad-diskors u tal-awdjo
| Mudell | Każ ta’ Użu | Liċenzja | Sors |
|---|---|---|---|
| Kokoro | Test-to-speech | Apache 2.0 | HuggingFace |
| Piper | Test-to-speech | MIT | GitHub |
| MeloTTS | Test-to-speech | MIT | GitHub |
| Chatterbox | Test-to-speech | MIT | HuggingFace |
| OuteTTS | Test-to-speech | Apache 2.0 | HuggingFace |
| faster-whisper | Diskors għal test | MIT | GitHub |
| Xama’ | Diskors għal test | Apache 2.0 | GitHub |
| ACE-Step 3.5B | Ġenerazzjoni tal-mużika | Apache 2.0 | HuggingFace |
| Demucs | Separazzjoni tal-mużika | MIT | GitHub |
Traduzzjoni, Viżjoni u Mudelli Oħra
| Mudell | Każ ta’ Użu | Liċenzja | Sors |
|---|---|---|---|
| MadLAD-400 3B | Traduzzjoni (450+ lingwi) | Apache 2.0 | HuggingFace |
| Real-ESRGAN | Immaġni upscaling | BSD | GitHub |
| BRIA RMBG 2.0 | Tneħħija tal-isfond | Apache 2.0 | HuggingFace |
| Istati Uniti | Segmentazzjoni tal-immaġni | Apache 2.0 | GitHub |
| DeOldify | Kolorizzazzjoni tar-ritratti | MIT | GitHub |
| il-MiniLM-L6-v2 | Inkorporazzjoni ta’ test | Apache 2.0 | HuggingFace |
| Tesseract | OCR | Apache 2.0 | GitHub |
Programm ta' Manutenzjoni ta' Sors Miftuħ
Inti mantenitur ta' sors miftuħ? Aħna noffru aċċess Pro b'xejn għal kontributuri attivi. Ikkuntattjana b'link għall-proġett tiegħek.
Mistoqsijiet Frekwenti
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.