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Qwen2.5 72B Instruct GGUF

Developed by Mungert
The GGUF quantized version of Qwen2.5-72B-Instruct, supporting multiple precision formats for efficient inference across different hardware environments.
Downloads 1,439
Release Time : 4/9/2025

Model Overview

A GGUF quantized model based on Qwen2.5-72B-Instruct, offering formats from BF16 to ultra-low-bit quantization (e.g., IQ3_XS), suitable for GPU, CPU, and low-memory device inference needs.

Model Features

Multi-Precision Support
Offers BF16, F16, and various quantized formats (Q4_K to Q8_0) to adapt to different hardware requirements.
Hardware Optimization
Optimized for GPU (BF16/FP16 acceleration), CPU (quantized models), and ARM devices (Q4_0).
Ultimate Memory Efficiency
Ultra-low-bit quantized models like IQ3_XS can run on ultra-low-memory devices, ideal for edge deployment.

Model Capabilities

Multilingual Text Generation
Instruction Following
Low-Resource Inference

Use Cases

Efficient Inference
GPU-Accelerated Generation
Utilizes BF16/F16 formats for high-speed text generation on supported hardware.
Reduces latency and improves throughput
Edge Device Deployment
Runs models on devices like Raspberry Pi via Q4_K or IQ3_XS quantization.
Memory usage reduced by over 50%
Multilingual Applications
Cross-Language Chat Assistant
Supports interactive conversations in 13 languages.
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