Qwen3-8B-GGUF Open-Source Large Language Model - Free Deployment, Strong Inference and Multilingual Support Capabilities

Qwen3 8B GGUF

Developed by prithivMLmods

Qwen3 is the latest generation of large language models in the Tongyi Qianwen series, offering a complete suite of dense models and Mixture of Experts (MoE) models. Based on large-scale training, Qwen3 has achieved breakthrough progress in reasoning capabilities, instruction following, agent functionalities, and multilingual support.

Large Language Model EnglishOpen Source License:Apache-2.0 #Mixture of Experts Model #Multilingual Text Generation #High-Precision Quantization

Downloads 1,222

Release Time : 5/13/2025

Model Overview

Qwen3-8B-GGUF is a large language model from the Tongyi Qianwen series, supporting text generation tasks and offering multiple quantization versions to meet different hardware requirements.

Model Features

Mixture of Experts Model

Provides a complete suite of dense models and Mixture of Experts (MoE) models, optimizing reasoning capabilities.

Multiple Quantization Versions

Supports various quantization versions from FP32 to Q2_K, catering to different hardware and performance needs.

High-Performance Inference

Achieves breakthrough progress in reasoning capabilities, instruction following, agent functionalities, and multilingual support.

Model Capabilities

Text Generation

Instruction Following

Multilingual Support

Agent Functionalities

Use Cases

Text Generation

Content Creation

Generate high-quality articles, stories, or copywriting.

Code Generation

Assist developers in generating code snippets or completing programming tasks.

Intelligent Assistant

Dialogue System

Build intelligent dialogue systems for natural language interaction.

File Name	Size	Quantization	Format	Description
`Qwen3_8B.F32.gguf`	32.8 GB	FP32	GGUF	Full precision (float32) version
`Qwen3_8B.BF16.gguf`	16.4 GB	BF16	GGUF	BFloat16 precision version
`Qwen3_8B.F16.gguf`	16.4 GB	FP16	GGUF	Float16 precision version
`Qwen3_8B.Q2_K.gguf`	3.28 GB	Q2_K	GGUF	2 - bit quantized (K variant)
`Qwen3_8B.Q3_K_M.gguf`	4.12 GB	Q3_K_M	GGUF	3 - bit quantized (K M variant)
`Qwen3_8B.Q3_K_S.gguf`	3.77 GB	Q3_K_S	GGUF	3 - bit quantized (K S variant)
`Qwen3_8B.Q4_K_M.gguf`	5.03 GB	Q4_K_M	GGUF	4 - bit quantized (K M variant)
`Qwen3_8B.Q4_K_S.gguf`	4.8 GB	Q4_K_S	GGUF	4 - bit quantized (K S variant)
`Qwen3_8B.Q5_K_M.gguf`	5.85 GB	Q5_K_M	GGUF	5 - bit quantized (K M variant)
`Qwen3_8B.Q8_0.gguf`	8.71 GB	Q8_0	GGUF	8 - bit quantized
`.gitattributes`	2.08 kB	—	—	Git LFS tracking file
`config.json`	31 B	—	—	Configuration placeholder
`README.md`	31 B	—	—	Model documentation

Link	Type	Size/GB	Notes
GGUF	Q2_K	0.4
GGUF	Q3_K_S	0.5
GGUF	Q3_K_M	0.5	lower quality
GGUF	Q3_K_L	0.5
GGUF	IQ4_XS	0.6
GGUF	Q4_K_S	0.6	fast, recommended
GGUF	Q4_K_M	0.6	fast, recommended
GGUF	Q5_K_S	0.6
GGUF	Q5_K_M	0.7
GGUF	Q6_K	0.7	very good quality
GGUF	Q8_0	0.9	fast, best quality
GGUF	f16	1.6	16 bpw, overkill

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Qwen3 8B GGUF

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Qwen3-8B-GGUF

📚 Documentation

📦 Model Files

💻 Quants Usage

📄 License