Cloudflare Workers AI Gemma 7b It LoRA

Free Gemma 7b It LoRA API via Cloudflare Workers AI with 10,000 daily free Neurons. Zero setup fee, no credit card required.

Updated 8/29/20262 code examples

About the Model

为什么选择 Gemma 7b It LoRA?

This is a Gemma-7B base model that Cloudflare dedicates for inference with LoRA adapters. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

核心优势与特性

  • 每日 10,000 Neurons 免费算力:Cloudflare 为所有开发者提供每日免费额度,0 成本调用。
  • 全球边缘网络超低延迟:部署于全球 300+ 城市边缘节点,享受 Serverless GPU 秒级冷启动。
  • 开箱即用无缝集成:无需自行部署与管理硬件,支持 REST API 与 Cloudflare Workers 原生绑定直连。
  • 支持 3,500 tokens 上下文窗口,适配长文本与复杂多轮任务。
  • 核心特性能力:LoRA。

免费调用与开发者福利

Cloudflare Workers AI 为所有免费账户提供每天 10,000 Neurons 的免费额度(约合每日 10k Tokens、数十次图像生成或多段音频转录)。无需绑定海外信用卡,支持 GitHub 账号一键快捷登录,通过 Workers 绑定或统一 REST API 即可全球低延迟直接调用。

How to Access for Free (via Cloudflare Workers AI)

Cloudflare Workers AI 免费政策

Cloudflare Workers AI 为所有免费账户提供每天 10,000 Neurons 的免费额度(约合每日 10k Tokens、数十次图像生成或多段音频转录)。无需绑定海外信用卡,支持 GitHub 账号一键快捷登录,通过 Workers 绑定或统一 REST API 即可全球低延迟直接调用。

Gemma 7b It LoRA 模型特性与优势

This is a Gemma-7B base model that Cloudflare dedicates for inference with LoRA adapters. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

认证与调用方式 (BYOK)

使用您自有的 Cloudflare 账户 Account ID 和具备 Workers AI 权限的 API Token 即可直接发起调用。支持标准 REST 端点,亦可在本站 Playground 中直接填入 Key 在线调试体验。

Try it in your browser

Pick a model, paste your own free key, and run. Your key is sent once to call the provider and never stored on our servers.

Pick a model, paste your own free key, and run. Your key is sent once to call the provider and never stored on our servers.

Code Examples

curl https://api.cloudflare.com/client/v4/accounts/$CF_ACCOUNT_ID/ai/run/@cf/google/gemma-7b-it-lora \
  -H "Authorization: Bearer $CF_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "Hello! How can I use Workers AI?"}
    ]
  }'

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