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Mobilellama 1.4B Base GGUF

Developed by andrijdavid
GGUF quantized version of MobileLLaMA-1.4B-Base, suitable for local deployment and inference
Downloads 311
Release Time : 1/2/2024

Model Overview

This is the GGUF format version of the MobileLLaMA-1.4B-Base model, quantized for efficient operation on resource-constrained devices. The original model is a 1.4 billion parameter Transformer model specifically optimized for mobile devices.

Model Features

Mobile optimization
Designed specifically for mobile devices with a moderate parameter size, suitable for resource-constrained environments
GGUF format support
Provides multiple quantized versions in GGUF format for different hardware configurations
Efficient inference
Optimized for efficient inference on consumer-grade hardware

Model Capabilities

Text generation
Language understanding
Common-sense reasoning

Use Cases

Mobile applications
Mobile chat assistant
Chat applications deployed on mobile devices like smartphones
Offline text generation
Text generation in environments without internet connectivity
Education
Learning assistance
Helps students understand and generate learning content
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