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/Qwen/Qwen2 7B Instruct
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Qwen2 7B Instruct

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fireworks/qwen2-7b-instruct

    Qwen2 7B Instruct is a 7-billion-parameter instruction-tuned language model developed by the Qwen team. Optimized for following instructions, it excels at tasks like question answering, dialogue generation, and summarization. The model is designed to provide accurate and contextually appropriate responses, making it suitable for a wide range of natural language processing applications.

    Fireworks Features

    Fine-tuning

    Docs

    Qwen2 7B 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 Qwen2 7B Instruct using Fireworks' reliable, high-performance system with no rate limits.

    Metadata

    State
    Ready
    Created on
    6/6/2024
    Kind
    Base model
    Provider
    Qwen
    Hugging Face
    Qwen2-7B-Instruct

    Specification

    Calibrated
    No
    Mixture-of-Experts
    No
    Parameters
    7.6B

    Supported Functionality

    Fine-tuning
    Supported
    Serverless
    Not supported
    Serverless LoRA
    Supported
    Context Length
    32.8k tokens
    Function Calling
    Not supported
    Embeddings
    Not supported
    Rerankers
    Not supported
    Support image input
    Not supported