@markeljan/ai-sdk-cerebras
v0.1.13
Published
The **Cerebras provider** for the [AI SDK](https://sdk.vercel.ai/docs) contains language model support for [Cerebras](https://cerebras.ai), offering high-speed AI model inference powered by Cerebras Wafer-Scale Engines and CS-3 systems.
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AI SDK - Cerebras Provider
The Cerebras provider for the AI SDK contains language model support for Cerebras, offering high-speed AI model inference powered by Cerebras Wafer-Scale Engines and CS-3 systems.
Setup
The Cerebras provider is available in the @ai-sdk/cerebras module. You can install it with
npm i @ai-sdk/cerebrasProvider Instance
You can import the default provider instance cerebras from @ai-sdk/cerebras:
import { cerebras } from '@markeljan/ai-sdk-cerebras';Available Models
Currently, Cerebras offers two models:
Llama 3.1 8B
- Model ID:
llama3.1-8b - 8 billion parameters
- Knowledge cutoff: March 2023
- Context Length: 8192
- Training Tokens: 15 trillion+
Llama 3.3 70B
- Model ID:
llama-3.3-70b - 70 billion parameters
- Knowledge cutoff: December 2023
- Context Length: 8192
- Training Tokens: 15 trillion+
Example
import { cerebras } from '@markeljan/ai-sdk-cerebras';
import { generateText } from '@markeljan/ai';
const { text } = await generateText({
model: cerebras('llama3.1-8b'),
prompt: 'Write a JavaScript function that sorts a list:',
});Documentation
For more information about Cerebras' high-speed inference capabilities and API documentation, please visit:
Note: Due to high demand in the early launch phase, context windows are temporarily limited to 8192 tokens in the Free Tier.
