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QVQ 72B Preview GGUF

Developed by tensorblock
The GGUF quantized version of QVQ-72B-Preview, suitable for local deployment and inference.
Downloads 220
Release Time : 12/26/2024

Model Overview

This is a large language model with a parameter scale of 72B, quantized in GGUF format for efficient operation in the local environment.

Model Features

Multiple Quantization Options
Provides multiple quantization levels from Q2_K to Q8_0 to meet the needs of different scenarios
Efficient Local Operation
The GGUF format optimizes local inference performance and reduces hardware requirements
Compatibility with llama.cpp
Compatible with the latest version of llama.cpp for easy integration into existing workflows

Model Capabilities

Text Generation
Dialogue System
Content Creation
Code Generation

Use Cases

Content Creation
Article Writing
Generate high-quality long articles
Dialogue System
Intelligent Assistant
Build a knowledge-rich dialogue AI
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