Qwen_Qwen3-0.6B-GGUF Open Source Model - Supports Compatible Processing and Free Deployment for Use

Qwen Qwen3 0.6B GGUF

Developed by tensorblock

This repository contains GGUF format model files for Qwen/Qwen3-0.6B, quantized by TensorBlock's machines and compatible with llama.cpp.

Large Language Model Open Source License:Apache-2.0 #Lightweight text generation #Multilingual support #Low-resource deployment

Downloads 905

Release Time : 4/28/2025

Model Overview

Qwen3-0.6B is an open-source large language model with 0.6B parameters, supporting text generation tasks. It is quantized in GGUF format, suitable for local deployment and inference.

Model Features

Multiple quantization options

Offers 12 different quantization levels from Q2_K to Q8_0 to meet performance and precision requirements in various scenarios

Compatible with llama.cpp

All model files are compatible with llama.cpp up to commit b5214, facilitating local deployment and usage

Lightweight deployment

The smallest quantized version requires only 0.347GB of storage space, ideal for resource-constrained environments

Model Capabilities

Text generation

Dialogue systems

Content creation

Use Cases

Dialogue systems

Intelligent customer service

Deployed as a lightweight customer service chatbot

Provides basic Q&A and problem-solving capabilities

Content creation

Text-assisted creation

Used for draft generation and creative writing assistance

Helps quickly generate preliminary content frameworks

🚀 Qwen/Qwen3-0.6B - GGUF

This repository offers GGUF format model files for Qwen/Qwen3-0.6B, aiming to provide users with efficient and high - quality text generation capabilities.

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

✨ Features

The model files are quantized using machines provided by TensorBlock.
They are compatible with llama.cpp as of commit b5214.

📦 Installation

Command line

Firstly, install Huggingface Client:

pip install -U "huggingface_hub[cli]"

Then, download the individual model file to a local directory:

huggingface-cli download tensorblock/Qwen_Qwen3-0.6B-GGUF --include "Qwen3-0.6B-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you want to download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/Qwen_Qwen3-0.6B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

📚 Documentation

Our projects

Project	Description	Image	Link
Awesome MCP Servers	A comprehensive collection of Model Context Protocol (MCP) servers.		👀 See what we built 👀
TensorBlock Studio	A lightweight, open, and extensible multi - LLM interaction studio.		👀 See what we built 👀

Prompt template

<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant

Model file specification

Filename	Quant type	File Size	Description
Qwen3-0.6B-Q2_K.gguf	Q2_K	0.347 GB	smallest, significant quality loss - not recommended for most purposes
Qwen3-0.6B-Q3_K_S.gguf	Q3_K_S	0.390 GB	very small, high quality loss
Qwen3-0.6B-Q3_K_M.gguf	Q3_K_M	0.414 GB	very small, high quality loss
Qwen3-0.6B-Q3_K_L.gguf	Q3_K_L	0.435 GB	small, substantial quality loss
Qwen3-0.6B-Q4_0.gguf	Q4_0	0.469 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Qwen3-0.6B-Q4_K_S.gguf	Q4_K_S	0.471 GB	small, greater quality loss
Qwen3-0.6B-Q4_K_M.gguf	Q4_K_M	0.484 GB	medium, balanced quality - recommended
Qwen3-0.6B-Q5_0.gguf	Q5_0	0.544 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Qwen3-0.6B-Q5_K_S.gguf	Q5_K_S	0.544 GB	large, low quality loss - recommended
Qwen3-0.6B-Q5_K_M.gguf	Q5_K_M	0.551 GB	large, very low quality loss - recommended
Qwen3-0.6B-Q6_K.gguf	Q6_K	0.623 GB	very large, extremely low quality loss
Qwen3-0.6B-Q8_0.gguf	Q8_0	0.805 GB	very large, extremely low quality loss - not recommended

📄 License

This project is licensed under the Apache-2.0 license.

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