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% Open-Source Model AI
Satiap model self-hosted dina Free.ai mangrupa sumber terbuka di handapeun lisénsi permisif (Apache 2.0, MIT, BSD). Teu aya lisénsi Llama/Meta. Kami percaya AI kudu transparan, bisa diaudit, sarta bébas digunakeun.
Chat & Models Language
| Model | Kasus | Lisensi | Sumber |
|---|---|---|---|
| Qwen2.5-72B | Chat umum, penalaran, analisis | Apache 2.0 | HuggingFace |
| Qwen2.5-7B | Chat cepet, tugas sing entheng | Apache 2.0 | HuggingFace |
| Mistral-7B | Chat cepet, tujuan umum | Apache 2.0 | HuggingFace |
| Phi-3 | Argumen sing efektif, matematika | MIT | HuggingFace |
Model Kode
| Model | Kasus | Lisensi | Sumber |
|---|---|---|---|
| Qwen2.5-Coder-32B | Penciptaan kode, debugging | Apache 2.0 | HuggingFace |
| DeepSeek-Coder-V2-Lite | Pembungkusan kode, review | MIT | HuggingFace |
Gambar & Video
| Model | Kasus | Lisensi | Sumber |
|---|---|---|---|
| FLUX.1-speed | Penciptaan gambar sing cepet | Apache 2.0 | HuggingFace |
| Stable Diffusion XL | Ngembangake gambar kualitas dhuwur | OpenRAIL++ | HuggingFace |
| 2.2 ing kana. | Penciptaan gambar artistik | Apache 2.0 | HuggingFace |
| CogVideoX-2B | Ngembangake video saka teks | Apache 2.0 | HuggingFace |
Model Basa lan Audio
| Model | Kasus | Lisensi | 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 | Basa-ka-teks | MIT | GitHub |
| Lilin | Basa-ka-teks | Apache 2.0 | GitHub |
| ACE-Step 3.5B | Penciptaan musik | Apache 2.0 | HuggingFace |
| Mel-Band RoFormer | Pemisahan musik (vokal, instrumen) | MIT | arXiv |
| SCNet | Pemisahan musik (drum, bass, liya-liyane) | Apache 2.0 | arXiv |
Terjemah, Visi lan Model Lain
| Model | Kasus | Lisensi | Sumber |
|---|---|---|---|
| MadLAD-400 3B | Terjemah (450+ basa) | Apache 2.0 | HuggingFace |
| Real-ESRGAN | Pemerataan gambar | BSD | GitHub |
| 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.1 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.1 2.1 2.2 2.3 2.4 2.5 2.5 2.6 2.7 2.8 2.9 2.1 2.2 2.3 2.4 2.5 2.5 2.6 2.7 2.8 2.9 2.1 2.1 2.2 2.3 2.4 2.5 2.5 2.6 2.7 2.8 2.9 2.1 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.1 2.2 2.3 2.3 2.4 2.5 2.6 2.7 2.1 2.2 2.3 2.4 2.5 2.6 2.5 2.6 2.7 2.7 2.8 2.9 2.1 2.2 2.3 2.1 2.2 2.3 2.4 2.5 | Ngala_h latar mburi | Apache 2.0 | HuggingFace |
| SAM | Segmentasi gambar | Apache 2.0 | GitHub |
| DeOldify | Pewarnaan foto | MIT | GitHub |
| MiniLM-L6-v2 | Te_ks | Apache 2.0 | HuggingFace |
| Tesseract | OCR | Apache 2.0 | GitHub |
Program Maintainer Open Source
Pangurus proyek sumber terbuka anu aktif tiasa ngadaptarkeun pikeun grant gratis tina 15,000,000 token, token allowance of a year of Pro, plus API keys at the Pro request tier (100,000 requests per month). Grant ngawengku unggal alat anu dijalankeun dina model self-hosted urang. Model luar premium henteu bagian tina grant: aranjeunna nganggo token anu dibeli.
Sing qualifies
- Sampeyan ngajaga proyek (panggonan utawa committer biasa), lan repositori punika umum kaliyan lisensi sumber terbuka OSI
- Iki aktif dijaga, karo commit utawa release ing 90 dina pungkasan
- Wong liya kang nggunakake, dituduhake kanthi paling ora siji saka: 50 bintang GitHub, 1,000 paket diunduh saben wulan, utawa proyek kang gumantung marang iku
- Saben akun Free.ai disimpen ing sumber terbuka, nonprofit lan program startup, ditambahake menyang akun sing wis sampeyan buat
Pikeun ngadaptar, kirimkeun tautan repository sarta tautan ka bukti panggunaan (bintang, statistik ngundeur atawa dependensi) ti alamat surelek dina akun Free.ai anjeun. 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.
No: premium model luar kayaning GPT-5, Claude jeung Gemini anu proprietary, ngandung syarat lisensi sorangan, dijalankeun dina tokens dipésér sarta teu bagian tina sagala comp grant. Ngan model self-hosted didaptarkeun dina halaman ieu nyaéta sumber terbuka.