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Llama 3 3 Nemotron Super 49B V1 GGUF

Developed by Mungert
A 49B-parameter large language model utilizing IQ-DynamicGate ultra-low-bit quantization technology, supporting 1-2 bit precision-adaptive quantization, optimized for memory efficiency and inference speed
Downloads 434
Release Time : 3/29/2025

Model Overview

An ultra-large-scale language model based on the Llama-3 architecture, achieving ultra-low-bit quantization through innovative dynamic precision allocation technology, suitable for efficient text generation in memory-constrained environments

Model Features

IQ-DynamicGate Ultra-Low-Bit Quantization
Employs hierarchical dynamic precision allocation strategy with key component protection technology, reducing error propagation by 38%
Precision-Adaptive Optimization
Uses IQ4_XS for the first and last 25% layers, and IQ2_XXS/IQ3_S for middle layers, achieving optimal precision balance
Extreme Memory Efficiency
1-2 bit quantized versions require only 2.1-2.9GB memory, ideal for edge device deployment

Model Capabilities

English text generation
Long-context processing (2048 tokens)
Ultra-low-bit quantized inference

Use Cases

Resource-constrained environment deployment
Edge device text generation
Runs generation tasks on low-memory GPU/CPU devices
IQ1_S quantized version requires only 2.1GB memory
Quantization technology research
Ultra-low-bit quantization validation
Tests the impact of 1-2 bit quantization on language model performance
IQ1_M reduces perplexity by 43.9%
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