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Llama 3.1 8B

Llama 3.1 8B is a multilingual, instruction-tuned model with a context window of 131.1K tokens and tool-use capability. It suits cost-effective production deployments that need multilingual coverage and trained tool use.

Tool Use
index.ts
import { streamText } from 'ai'


const result = streamText({
  model: 'meta/llama-3.1-8b',
  prompt: 'Why is the sky blue?'
})
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Frequently Asked Questions

  • What benchmarks did Llama 3.1 8B perform well on?

    Llama 3.1 8B was evaluated across more than 150 benchmark datasets spanning multiple languages. The 8B lines up with closed and open models of a similar parameter count on general knowledge, instruction following, and tool-use tasks.

  • What tool-use behaviors are supported?

    The model supports function calling and structured output generation as trained behaviors, not just prompt-pattern following. It operates within larger agentic systems that orchestrate external API calls or tool invocations.

  • How does the 8B handle the full context of 131.1K tokens in practice?

    The model holds long documents, conversation histories, or retrieved content in full rather than requiring chunking.

  • What languages are supported beyond English?

    The seven additional languages are German, French, Italian, Portuguese, Hindi, Spanish, and Thai, all with multilingual instruction following and conversational capability.