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Qwen3 8B FP8 Dynamic

Developed by RedHatAI
Qwen3-8B-FP8-dynamic is an optimized version of the Qwen3-8B model through FP8 quantization, significantly reducing GPU memory requirements and disk space usage while maintaining the original model's performance.
Downloads 81
Release Time : 5/2/2025

Model Overview

This model is an optimized version obtained by quantizing the activations and weights of Qwen3-8B to FP8 data type, suitable for tasks such as inference, function calling, and multilingual instruction following.

Model Features

FP8 quantization
Through FP8 quantization technology, it significantly reduces GPU memory requirements (approximately 50%) and disk space usage (approximately 50%), while improving computational throughput (approximately 2x).
Efficient inference
The optimized model maintains the performance of the original model, excelling in multiple benchmarks, with some tasks even showing improvements.
Multilingual support
Supports multilingual instruction following and translation tasks, suitable for international application scenarios.

Model Capabilities

Text generation
Function calling
Multilingual instruction following
Translation

Use Cases

General AI assistant
Intelligent Q&A
Answers various user questions, providing accurate information and advice.
Achieved an average recovery rate of 101.0% in the OpenLLM v1 benchmark
Education
Math problem solving
Solves complex math problems, providing detailed solution steps.
Scored 51.90 in the Math-lvl-5 test
Business applications
Multilingual customer service
Provides multilingual customer support, understanding and responding to customer inquiries.
Scored 25.80 in the MGSM multilingual test
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