Qwen3-0.6B-GGUF Open-Source Large Language Model - Supports Multiple Languages, Strong Inference and Instruction-Following Capabilities

Qwen3 0.6B GGUF

Developed by prithivMLmods

Qwen3 is the latest version of the Tongyi Qianwen series of large language models, offering a range of dense 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 #Multilingual text generation #Mixture of Experts architecture #Lightweight inference

Downloads 290

Release Time : 5/13/2025

Model Overview

Qwen3-0.6B-GGUF is a GGUF-format quantized version of the Qwen3-0.6B model, suitable for text generation tasks and supports multiple quantization precision options.

Model Features

Multi-precision quantization support

Offers multiple quantization versions from FP32 to Q2_K, catering to different hardware and performance needs.

Efficient inference

Achieves efficient inference speed through quantization techniques, with Q4_K_S and Q4_K_M versions particularly recommended.

Mixture of Experts architecture

Utilizes the Mixture of Experts (MoE) model architecture to enhance model performance and efficiency.

Model Capabilities

Text generation

Instruction following

Multilingual support

Use Cases

Text generation

Content creation

Generate articles, stories, news, and other content.

Dialogue systems

Build intelligent chatbots that support multi-turn conversations.

Agent functionalities

Task automation

Control agents via instructions to complete specific tasks.

File Name	Size	Quantization	Format	Description
`Qwen3_0.6B.F32.gguf`	2.39 GB	FP32	GGUF	Full precision (float32) version
`Qwen3_0.6B.BF16.gguf`	1.2 GB	BF16	GGUF	BFloat16 precision version
`Qwen3_0.6B.F16.gguf`	1.2 GB	FP16	GGUF	Float16 precision version
`Qwen3_0.6B.Q3_K_M.gguf`	347 MB	Q3_K_M	GGUF	3-bit quantized (K M variant)
`Qwen3_0.6B.Q3_K_S.gguf`	323 MB	Q3_K_S	GGUF	3-bit quantized (K S variant)
`Qwen3_0.6B.Q4_K_M.gguf`	397 MB	Q4_K_M	GGUF	4-bit quantized (K M variant)
`Qwen3_0.6B.Q4_K_S.gguf`	383 MB	Q4_K_S	GGUF	4-bit quantized (K S variant)
`Qwen3_0.6B.Q5_K_M.gguf`	444 MB	Q5_K_M	GGUF	5-bit quantized (K M variant)
`Qwen3_0.6B.Q8_0.gguf`	639 MB	Q8_0	GGUF	8-bit quantized
`.gitattributes`	2.04 kB	—	—	Git LFS tracking file
`config.json`	31 B	—	—	Configuration placeholder
`README.md`	3.53 kB	—	—	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 0.6B GGUF

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Qwen3-0.6B-GGUF

📚 Documentation

Model Files

Quants Usage

📄 License