Free AI for Open Source
A grant of 15,000,000 free AI tokens plus Pro-tier API access for maintainers of actively maintained open source projects.
100% sumber-bukak AI Models
Saben modél kang dihost-kanggo-diri ing Free.ai iku sumber-bukah ing ngisor lisensi permisif (Apache 2.0, MIT, BSD). Ora ana lisensi Llama/Meta. Kita percaya AI kudu transparan, bisa diaudit, lan bebas kanggo digunakake.
Chat & Model Basa
| Model | Kasus Pangguna | Lisénsi | Sumber |
|---|---|---|---|
| Qwen2.5-72B | Chat umum, penalaran, analisis | Apache 2.0 | HuggingFace |
| Qwen2.5-7B | Chat cepet, tugas cetha | Apache 2.0 | HuggingFace |
| Mistral-7B | Chat cepet, tujuan umum | Apache 2.0 | HuggingFace |
| Phi-3 | Penjelasan, matematika | MIT | HuggingFace |
Model Kode
| Model | Kasus Pangguna | Lisénsi | Sumber |
|---|---|---|---|
| Qwen2.5-Coder-32B | Penciptaan kode, debug | Apache 2.0 | HuggingFace |
| DeepSeek-Coder-V2-Lite | Code completion, review | MIT | HuggingFace |
Gambar lan Video
| Model | Kasus Pangguna | Lisénsi | Sumber |
|---|---|---|---|
| FLUX.1-rapid | Penciptaan gambar cepet | Apache 2.0 | HuggingFace |
| Stable Diffusion XL | Penciptaan gambar kualitas dhuwur | OpenRAIL++ | HuggingFace |
| Kacamatan iki duwé 2.200 jiwa. | Penciptaan gambar artistik | Apache 2.0 | HuggingFace |
| CogVideoX-2B | Penciptaan video saka teks | Apache 2.0 | HuggingFace |
Model Basa lan Audio
| Model | Kasus Pangguna | Lisénsi | Sumber |
|---|---|---|---|
| Kokoro | Teks-ka-waca | Apache 2.0 | HuggingFace |
| Piper | Teks-ka-waca | MIT | GitHub |
| MeloTTS | Teks-ka-waca | MIT | GitHub |
| Chatterbox | Teks-ka-waca | MIT | HuggingFace |
| OutTTS | Teks-ka-waca | Apache 2.0 | HuggingFace |
| faster-whisper | Prakata-ka-teks | MIT | GitHub |
| Lilin | Prakata-ka-teks | Apache 2.0 | GitHub |
| ACE-Step 3.5B | Generasi musik | Apache 2.0 | HuggingFace |
| Mel-Band RoFormer | Pemisahan musik (vokal, instrumental) | MIT | arXiv |
| SCNet | Pemisahan musik (drum, bass, liya- liya) | Apache 2.0 | arXiv |
Terjemah, Visi lan Model Liyane
| Model | Kasus Pangguna | Lisénsi | Sumber |
|---|---|---|---|
| 300-an lan 400-an | Terjemah (450+ basa) | Apache 2.0 | HuggingFace |
| Real-ESRGAN | Ngarep | BSD | GitHub |
| Cithakan:Brotherhood | Ngapurake latar mburi | Apache 2.0 | HuggingFace |
| AS | Segmentasi gambar | Apache 2.0 | GitHub |
| DeOldify | Pewarnaan foto | MIT | GitHub |
| all-MiniLM-L6-v2 | Teks ing | Apache 2.0 | HuggingFace |
| Tesseract | OCR | Apache 2.0 | GitHub |
Program Pangembang Sumber Akeh
Para pangurus proyek sumber terbuka kang aktif bisa ngajukaké kanggo grant gratis 15,000,000 token, token allowance saka Pro taun, ditambah karo kunci API ing tingkat pitakon Pro (100,000 pitakon saben wulan). Grant iki nglindhungi saben piranti sing dioperasikake ing model self-hosted kita. Model luaran premium ora kalebu ing grant: padha nggunakake token sing didol.
Sing qualifies
- Sampeyan ngrawat proyek (pemilik utawa committer biasa), lan repositori iku umum ing ngisor lisensi sumber terbuka sing disetujui OSI
- Iki aktif dijaga, karo commit utawa release ing 90 dina pungkasan
- Wong liya kang nggunakake, digambaraké kanthi paling ora siji saka: 50 bintang GitHub, 1,000 paket diunduh saben wulan, utawa proyek kang gumantung ing iku
- Saben akun Free.ai, siji sumbangan kanggo sumber terbuka, nonprofit lan program wiwitan, ditambahake menyang akun sing wis sampeyan buat
Kanggo nglakokaké, kirimake tautan repositori lan tautan menyang bukti panggunaan (bintang, statistik unduh utawa dependensi) saka alamat email ing akun Free.ai sampeyan. Nggunakake formulir kontak
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, Wan 2.2 and HunyuanVideo.
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.
A free grant of 15,000,000 tokens plus API keys at the Pro request tier (100,000 requests per month) for maintainers of actively maintained open source projects with evidence of use. It covers the tools that run on our self-hosted models. Premium external models are not part of the grant and use purchased tokens. Apply with a link to your repository and to the evidence of use.
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.
Ora: modél luar premium kaya GPT-5, Claude lan Gemini iku proprietary, nggawa syarat lisensi dhewe, mlaku ing token sing didol lan ora ana ing bagean saka apa wae comp grant. Mung modél self-hosted sing didaftar ing kaca iki minangka sumber terbuka.