Hugging Face (Serverless)

🌐 Global Network ● 24h Uptime 99.5% (Global Open Source Home)

100% free · The default standard for global AI researchers

🚀 Get Free Key ↗
⚡ Speed & Latency
600ms ~ 1400ms
The worldwide hub for AI developers with the largest model catalog on earth
🎁 Free Quota & Policy
Free tier supports thousands of daily requests
Included with standard HF account · Lifetime 0 cost · Zero credit card
🛡️ Auth & Access Requirements
Create hf_ token in Settings -> Access Tokens
Native OpenAI SDK compatibility via api-inference routing
📊 Concurrency & Context
Community rate-limited · Ideal for lightweight experimentation & research
Instantly test virtually any public model on the Hugging Face Hub

🔌 OpenAI-Compatible Base URL

https://api-inference.huggingface.co/v1

💡 Directly paste the address above as Base URL into any OpenAI-compatible client (NextChat, Cherry Studio, Immersive Translate, etc.).

📋 Featured Models:

Click Model ID to copy
官方托管 meta-llama/Llama-3.3-70B-Instruct
开源 70B 指令模型官方 Serverless 免费节点
代码专家 Qwen/Qwen2.5-Coder-32B-Instruct
开源最强编程代码大模型

💡 Key Traps & Practical Tips

Permanent Free Community Serverless Inference
Tens of thousands of open models · Zero card required
1. Protocol Compatibility: Most modern LLMs are fully OpenAI-compatible. In Python, simply use the official openai SDK for seamless switching.
2. Network Routing: Providers labeled Direct Connection respond in milliseconds domestically. Providers labeled Global Network are best called from servers with international access.
3. Local Key Security: When using tools on FreeAI Dog, all API Keys are strictly saved in your browser localStorage and never transmitted to any third-party server.

💻 Quick Python OpenAI SDK Example

from openai import OpenAI

client = OpenAI(
    api_key="your_api_key_here",  # 填入申请的 Key
    base_url="https://api-inference.huggingface.co/v1"
)

response = client.chat.completions.create(
    model="meta-llama/Llama-3.3-70B-Instruct",
    messages=[
        [object Object]
    ]
)

print(response.choices[0].message.content)
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