Qwen3-30B-A3B-FP8-Dynamic Open-Source Model - Optimize Inference Efficiency of Ampere Graphics Cards and Enhance User Experience

Qwen3 30B A3B FP8 Dynamic

Developed by khajaphysist

FP8 dynamic quantization version based on Qwen/Qwen3-30B-A3B model, optimized for inference efficiency on Ampere architecture GPUs

Large Language Model

Transformers

#FP8 Dynamic Quantization #Multi-GPU Inference Optimization #Large Language Model Inference

Downloads 403

Release Time : 4/29/2025

Model Overview

This is a large language model supporting FP8 dynamic quantization, specifically optimized for NVIDIA Ampere architecture GPUs (e.g., 3090), enhancing computational efficiency while maintaining high inference quality

Model Features

FP8 Dynamic Quantization

Supports FP8 precision dynamic quantization for efficient inference on Ampere architecture GPUs

Multi-GPU Parallelism

Supports distributed operation across multiple GPUs via Tensor Parallelism

Efficient Inference

Optimized memory utilization with support for high-concurrency request processing

Model Capabilities

Text Generation

Dialogue Systems

Content Creation

Code Generation

Knowledge Q&A

Use Cases

Intelligent Assistants

Chatbot

Building intelligent chat assistants with smooth dialogue

Capable of multi-turn natural conversations

Content Creation

Article Generation

Generating coherent articles or paragraphs based on prompts

Can produce topic-aligned text content

Property	Details
Library Name	transformers
Base Model	Qwen/Qwen3-30B-A3B

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Qwen3 30B A3B FP8 Dynamic

Model Overview

Model Features

Model Capabilities

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🚀 Transformers

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