Free AI for Open Source
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开放源码AI 模型
Free.ai号的每个自营模式都是开放源码,使用许可(Apache 2.0,MIT,BSD),没有Llama/Meta许可证。我们认为AI应该透明、可审计和自由使用。
Chat 语言模型( L)
| 型 型 | 使用大小写 | 许可证 | 来源来源 |
|---|---|---|---|
| Qwen2.5-72B | 一般性聊天、推理、分析 | Apache 2.0 Apache 2.0? | HuggingFace |
| Qwen2.5-7B | 快速聊天、轻量量级任务 | Apache 2.0 Apache 2.0? | HuggingFace |
| Mistral-7B | 通用快速聊天 | Apache 2.0 Apache 2.0? | HuggingFace |
| Phi-3 | 高效推理、数学 | 麻 三 | HuggingFace |
守则范本
| 型 型 | 使用大小写 | 许可证 | 来源来源 |
|---|---|---|---|
| Qwen2.5-Coder-32B | 代码生成、调试 | Apache 2.0 Apache 2.0? | HuggingFace |
| DeepSeek - 焦距V2- 白 | 完成、审查、完成、完成代码 | 麻 三 | HuggingFace |
图像和视频模型
| 型 型 | 使用大小写 | 许可证 | 来源来源 |
|---|---|---|---|
| FLUX1 - schnell | 快速图像生成 | Apache 2.0 Apache 2.0? | HuggingFace |
| Stable Diffusion XL Stable Diffusion XL? | 高质量形象生成 | OpenRAIL++ 开放光天+++ | HuggingFace |
| Kandinsky 2.2 Kandinsky 2.2? | 艺术形象生成 | Apache 2.0 Apache 2.0? | HuggingFace |
| CogVideoX-2B CogVideoX-2B? | 从文本生成视频 | Apache 2.0 Apache 2.0? | HuggingFace |
| 动动动态Diff | 视频动 | Apache 2.0 Apache 2.0? | HuggingFace |
语音和音频模型
| 型 型 | 使用大小写 | 许可证 | 来源来源 |
|---|---|---|---|
| Kokoro Kokoro? | 文字语音 | Apache 2.0 Apache 2.0? | HuggingFace |
| Piper Piper? | 文字语音 | 麻 三 | GitHub |
| MeloTTS MeloTTS? | 文字语音 | 麻 三 | GitHub |
| Chatterbox Chatterbox? | 文字语音 | 麻 三 | HuggingFace |
| 外转 | 文字语音 | Apache 2.0 Apache 2.0? | HuggingFace |
| faster-whisper faster-whisper? | 发言对文本 | 麻 三 | GitHub |
| 伏伏 | 发言对文本 | Apache 2.0 Apache 2.0? | GitHub |
| ACE-Step 3.5B | 音乐创作 | Apache 2.0 Apache 2.0? | HuggingFace |
| Demucs Demucs? | 音乐分离 | 麻 三 | GitHub |
翻译、愿景和其他模式
| 型 型 | 使用大小写 | 许可证 | 来源来源 |
|---|---|---|---|
| MadLAD-400 3B MadLAD-400 3B | 笔译(450+语文) | Apache 2.0 Apache 2.0? | HuggingFace |
| Real-ESRGAN Real-ESRGAN? | 图像升级 | BSD 业发 | GitHub |
| 百万卢比2.0 | 背感背景 | Apache 2.0 Apache 2.0? | HuggingFace |
| 萨米议会 | 图像截面 | Apache 2.0 Apache 2.0? | GitHub |
| 拆解 | 照片彩色化 | 麻 三 | GitHub |
| 全部米尼LM-L6-v2 | 文本嵌入 | Apache 2.0 Apache 2.0? | HuggingFace |
| 宇宙魔方 | OCR 业务权利组织 | Apache 2.0 Apache 2.0? | GitHub |
开源源维护程序
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FAQ 常见时( Q)
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.