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/Meta/Llama 3 8B
accounts/fireworks/models/llama-v3-8b

    Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety.

    Llama 3 8B API Features

    Fine-tuning

    Docs

    Llama 3 8B can be customized with your data to improve responses. Fireworks uses LoRA to efficiently train and deploy your personalized model

    On-demand Deployment

    Docs

    On-demand deployments allow you to use Llama 3 8B on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

    Metadata

    State
    Ready
    Created on
    11/21/2024
    Kind
    Base model
    Provider
    Meta

    Specification

    Calibrated
    Yes
    Mixture-of-Experts
    No
    Parameters
    8.03B

    Supported Functionality

    Fine-tuning
    Supported
    Serverless
    Not supported
    Context Length
    8.19k tokens
    Function Calling
    Not supported
    Embeddings
    Not supported
    Rerankers
    Not supported
    Support image input
    Not supported