LLama-3 Chat (8B) API

Meta Llama 3 8B Chat boosts productivity and creativity through task-oriented, assistant-like interactions.
Output

Overview

LLama-3 Chat (8B) Description

Basic Information

  • Model Name: LLama-3 Chat (8B)
  • Developer/Creator: Meta
  • Release Date: April 18, 2024
  • Version: 0.1
  • Model Type: Large Language Model (LLM)
Overview:

LLama-3 Chat (8B) is a large language model developed by Meta, optimized for conversational AI and instruction-following tasks. This model is designed to facilitate natural and coherent dialogue, making it suitable for applications such as chatbots, virtual assistants, and customer support systems.

Key Features:
  • 8 Billion Parameters: Provides a balance between performance and computational efficiency.
  • Instruction-Tuned: Specifically optimized to follow user instructions accurately and generate contextually relevant responses.
  • Grouped-Query Attention (GQA): Enhances inference speed and scalability.
  • High Context Length: Supports inputs of up to 8,192 tokens, allowing for extensive dialogue management.
  • Multilingual Capabilities: Can process and generate text in multiple languages.
Intended Use:

The model is intended for software developers and researchers looking to implement advanced conversational capabilities in applications such as chatbots, interactive agents, and automated content generation tools.Language Support:LLama-3 Chat (8B) supports multiple languages, making it suitable for global applications in diverse linguistic contexts.

Technical Details

Architecture:

LLama-3 Chat (8B) utilizes a transformer architecture enhanced with Grouped-Query Attention (GQA), which allows for efficient processing of large amounts of text while maintaining high-quality outputs. This architecture is particularly effective in managing long context inputs typical in conversational scenarios.

Training Data:

The model was trained on over 15 trillion tokens from publicly available sources to ensure a wide-ranging understanding of language and context.

  • Data Source and Size: The training dataset includes diverse text from books, websites, and other media to enhance the model's robustness across various topics.
  • Knowledge Cutoff: The model's knowledge is current as of March 2023.
  • Diversity and Bias: The training data was curated to minimize biases while maximizing diversity in topics and styles, enhancing the model's overall effectiveness.
Performance Metrics and Comparison to Other Models:

LLama-3 Chat (8B) has demonstrated strong performance metrics:

Usage

Code samples

The model is available on the AI/ML API platform as "LLama-3 Chat (8B)" .

Ethical Considerations

Meta emphasizes ethical considerations in AI development by promoting transparency regarding the model's capabilities and limitations. The organization encourages responsible usage to prevent misuse or harmful applications of generated content.

Licensing

LLama models are available under an open-source license that allows both research and commercial usage rights while ensuring compliance with ethical standards.

Get LLama-3 Chat (8B) API here.

Use cases

  • Chatbots: Conversational agents with long context memory
  • Coding assistants: Generates and reviews code
  • Multilingual services: Supports eight languages out of the box
  • Document parsing: Handles emails, reports, and tickets
  • Instruction-following agents: Integrated into workflows

How to use LLama-3 Chat (8B) API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to .

OpenAI-compatible — swap the base URL and it works with your existing SDK.

LLama-3 Chat (8B) API Pricing

TypePrice
Input
Output

LLama-3 Chat (8B) Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Intelligence
4.8
Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial AnalysisSourceSeptember 22, 2026

Frequently asked questions

Yes, LLama-3 Chat (8B) can stream responses as they are generated.

Yes, LLama-3 Chat (8B) supports both function calling and structured outputs.

LLama-3 Chat (8B) was built by Meta.

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