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Model Library
/Meta/Llama 2 7B
accounts/fireworks/models/llama-v2-7b

    Meta's Llama 2 model family is a collection of pretrained and fine-tuned generative text models trained on 40% more data than Llama 1 with double the context length. This is the 7B Base version trained on 2 trillion tokens with a context length of 4096.

    Llama 2 7B API Features

    Fine-tuning

    Docs

    Llama 2 7B 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 2 7B on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

    Metadata

    State
    Ready
    Created on
    8/12/2023
    Kind
    Base model
    Provider
    Meta

    Specification

    Calibrated
    No
    Mixture-of-Experts
    No
    Parameters
    6.73B

    Supported Functionality

    Fine-tuning
    Supported
    Serverless
    Not supported
    Context Length
    4.09k tokens
    Function Calling
    Not supported
    Embeddings
    Not supported
    Rerankers
    Not supported
    Support image input
    Not supported