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/Meta/Llama 3.2 3B Instruct
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Llama 3.2 3B Instruct

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fireworks/llama-v3p2-3b-instruct

    The Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned generative models in 1B and 3B sizes (text in/text out). The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks. They outperform many of the available open source and closed chat models on common industry benchmarks.

    Fireworks Features

    Fine-tuning

    Docs

    Llama 3.2 3B Instruct 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 give you dedicated GPUs for Llama 3.2 3B Instruct using Fireworks' reliable, high-performance system with no rate limits.

    Metadata

    State
    Ready
    Created on
    9/18/2024
    Kind
    Base model
    Provider
    Meta
    Hugging Face
    Llama-3.2-3B-Instruct

    Specification

    Calibrated
    No
    Mixture-of-Experts
    No
    Parameters
    3.6B

    Supported Functionality

    Fine-tuning
    Supported
    Serverless
    Not supported
    Serverless LoRA
    Supported
    Context Length
    131.1k tokens
    Function Calling
    Not supported
    Embeddings
    Not supported
    Rerankers
    Not supported
    Support image input
    Not supported