Text Generation Model

Llama 3.1 8B Instant

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.

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Publisher

Multilingual text generation with 128K context

Llama 3.1 8B Instant is an 8-billion-parameter instruction-tuned large language model developed by Meta, part of the Llama 3.1 collection that also includes 70B and 405B variants. It is a text-in, text-out model optimized for multilingual dialogue and is available as a pretrained and instruction-tuned generative model released in 2024. The model supports a 128,000-token context window, making it capable of processing long documents and extended conversations within a single context.

This model is hosted on Groq infrastructure, which enables low-latency inference suited for applications requiring fast response times. Llama 3.1 8B Instant is well-suited for tasks such as multilingual chat, summarization, question answering, and general text generation. Its 8B parameter size makes it a practical choice for developers who need a capable open-weight model with lower computational requirements compared to larger variants in the same family.

Capabilities

What Llama 3.1 8B Instant supports

Multilingual Dialogue

Supports conversational interactions across multiple languages, as the model is specifically instruction-tuned for multilingual dialogue use cases.

Long Context Processing

Handles up to 128,000 tokens in a single context window, enabling analysis of long documents or extended multi-turn conversations.

Text Generation

Generates coherent, instruction-following text responses as a text-in, text-out model optimized for generative tasks.

Fast Inference

Served on Groq hardware, delivering low-latency token generation suited for real-time applications and interactive use cases.

Instruction Following

Fine-tuned with instruction-tuning techniques to follow user prompts accurately across tasks like summarization, Q&A, and classification.

Open Weight Model

Released by Meta as an open-weight model, allowing developers to inspect, fine-tune, and deploy the model under Meta's Llama 3.1 community license.

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FAQ

Common questions about Llama 3.1 8B Instant

What is the context window size for Llama 3.1 8B Instant?

Llama 3.1 8B Instant supports a context window of 128,000 tokens, allowing it to process long documents and extended conversations in a single pass.

Who developed Llama 3.1 8B Instant?

Llama 3.1 8B Instant was developed by Meta. It is part of the Llama 3.1 model family, which includes 8B, 70B, and 405B parameter variants.

What languages does this model support?

The model is described as multilingual and is instruction-tuned for multilingual dialogue use cases, though specific supported languages are detailed in Meta's official model card.

What is the training data cutoff for Llama 3.1 8B Instant?

The model was released in 2024. Meta's official documentation states the knowledge cutoff date is December 2023.

Is Llama 3.1 8B Instant an open-weight model?

Yes, Meta released Llama 3.1 8B Instant as an open-weight model under the Llama 3.1 community license, which permits use, modification, and redistribution subject to Meta's license terms.

What types of tasks is this model best suited for?

The model is optimized for multilingual dialogue, summarization, question answering, and general instruction-following text generation tasks.

Resources