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Llama 3.2 1B Instruct Q4 K M GGUF

Developed by hugging-quants
This is a quantized version in GGUF format converted from the Meta Llama-3.2-1B-Instruct model, suitable for local inference scenarios.
Downloads 24.70k
Release Time : 9/25/2024

Model Overview

This model is a 4-bit quantized version of Meta Llama-3.2-1B-Instruct, designed for efficient local inference and supporting multiple languages and text generation tasks.

Model Features

Efficient quantization
Adopts the Q4_K_M quantization method, significantly reducing the model size and memory requirements while maintaining high accuracy
Multilingual support
Supports text generation tasks in 8 languages including English, German, French, etc.
Local inference optimization
The GGUF format is optimized for llama.cpp and can run efficiently on consumer-grade hardware

Model Capabilities

Text generation
Instruction following
Multilingual processing

Use Cases

Content creation
Article writing assistance
Helps users generate article drafts or writing inspiration
Education
Language learning assistant
Provides multilingual practice and feedback for language learners
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