Llama 3.1 70B Instruct

Llama 3.1 70B Instruct - Multilingual instruction model

Llama 3.1 70B Instruct is Meta’s 70-billion-parameter instruction-tuned text model in the Llama 3.1 family. Meta positions it as a multilingual model with a long context window and trained tool-use capability.

Defining Characteristics

• 70B parameter instruction-tuned text model in the Llama 3.1 family.
• 128K context window documented in Meta and cloud hosting materials.
• Trained tool use for agentic workflows, including API calls and custom functions.
• Multilingual support across eight languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.

Core Design

• Meta describes Llama 3.1 as pretrained and instruction-tuned generative models.
• The 70B variant carries the 3.1 family’s full feature set while sitting between the 8B and 405B releases.
• Official materials describe it as optimized for multilingual dialogue use cases.

Tool Use

• Meta says the model was explicitly trained for tool use rather than relying on prompt-only techniques.
• Official release materials position it for calling APIs, querying databases, and invoking custom functions in reasoning chains.