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Meta Llama Llama 4 Scout 17B 16E Instruct Old GGUF

Developed by bartowski
Llama-4-Scout-17B-16E-Instruct is a 17B parameter instruction fine-tuned large language model released by Meta, which has undergone quantization processing to improve operational efficiency.
Downloads 3,142
Release Time : 4/7/2025

Model Overview

A 17B parameter instruction fine-tuned model based on the Llama 4 architecture, suitable for various natural language processing tasks, offering multiple quantization versions to meet different hardware requirements.

Model Features

Multiple Quantization Versions
Provides a total of 23 quantization types from Q8_0 to IQ1_M to meet different hardware performance and precision requirements.
Efficient Inference
Optimizes the model size and inference speed through quantization technology, suitable for local deployment.
Instruction Optimization
Specifically fine-tuned for instruction following tasks, suitable for dialogue and task completion scenarios.
Hardware Adaptation
Supports online weight repackaging for ARM and AVX architectures to improve performance on specific hardware.

Model Capabilities

Text Generation
Instruction Understanding and Execution
Dialogue System
Content Creation

Use Cases

Dialogue System
Intelligent Assistant
Build a dialogue assistant that can understand complex instructions.
Content Generation
Creative Writing
Assist in story creation and content generation.
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