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Llama 3.1 Nemotron 70B Instruct HF GGUF

Developed by Mungert
A model fine-tuned based on Meta Llama-3.1-70B-Instruct, optimized with NVIDIA HelpSteer2 dataset, supporting text generation tasks.
Downloads 1,434
Release Time : 4/6/2025

Model Overview

This is a 70B-parameter large language model, specifically optimized for instruction-following and text generation tasks, suitable for various natural language processing scenarios.

Model Features

IQ-DynamicGate Ultra-low Bit Quantization
Utilizes 1-2 bit precision-adaptive quantization technology to enhance model accuracy while maintaining memory efficiency.
Hierarchical Quantization Strategy
Adopts differentiated quantization schemes for different network layers, protecting key components to reduce error propagation.
Multi-format Support
Provides various quantization formats from BF16 to ultra-low bit IQ3_XS, catering to different hardware requirements.

Model Capabilities

Text generation
Instruction following
Low-resource inference

Use Cases

Resource-constrained environments
Edge device deployment
Running large language models on memory-limited edge devices
Achieves acceptable inference speed through ultra-low bit quantization
Research fields
Quantization technology research
Studying the impact of ultra-low bit quantization on LLM performance
Provides comparative data for various quantization schemes
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