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EXAONE Deep 7.8B GGUF

Developed by Mungert
A 7.8B-parameter model featuring ultra-low-bit quantization (1-2 bits) using IQ-DynamicGate technology, supporting English and Korean text generation tasks.
Downloads 1,791
Release Time : 3/19/2025

Model Overview

EXAONE-Deep-7.8B is a fine-tuned model based on LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct, employing innovative IQ-DynamicGate technology for ultra-low-bit quantization, suitable for memory-constrained deployment environments and edge devices.

Model Features

IQ-DynamicGate Technology
Employs precision-adaptive quantization technology to significantly enhance performance in ultra-low-bit models (1-2 bits).
Dynamic Precision Allocation
Uses IQ4_XS for the first and last 25% of layers, and IQ2_XXS/IQ3_S for the middle 50% of layers, optimizing efficiency and precision.
Critical Component Protection
Uses Q5_K for embedding and output layers, reducing error propagation by 38%.
Extreme Memory Efficiency
Suitable for memory-constrained deployment environments, supporting CPUs and edge devices.

Model Capabilities

Text generation
Multilingual support (English, Korean)
Ultra-low-bit quantization inference

Use Cases

Memory-constrained deployment environments
Edge device inference
Run text generation tasks on edge devices with limited memory.
Significantly reduces memory usage while maintaining reasonable accuracy.
Research and applications
Ultra-low-bit quantization research
Explore the application of 1-2 bit quantization techniques in large language models.
Provides comparative performance data for quantization, supporting research needs.
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