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Llama 4 Scout 17B 16E Instruct Fbgemm Unfused
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Llama 4 Scout 17B 16E Instruct Fbgemm Unfused

Developed by hugging-quants
This model is built based on the Transformers library, and its specific functions and uses require further information to be supplemented.
Large Language Model
Transformers
#Natural Language Processing#Multi-task Learning#Pre-trained Models
Downloads 22
Release Time : 4/9/2025

Model Overview

The specific functions and uses of this model are not clearly stated in the provided information. It may involve natural language processing, computer vision, or other tasks based on Transformers.

Model Features

Based on Transformers Architecture
This model adopts the Transformers architecture, making it suitable for processing sequential data such as text or time-series data.

Model Capabilities

Sequential data processing
May support text generation or classification
May support image recognition or generation

Use Cases

Natural Language Processing
Text Generation
Can be used to generate coherent text paragraphs or articles.
Text Classification
Can be used for sentiment analysis or topic classification of text.
Computer Vision
Image Classification
Can be used to identify objects or scenes in images.
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