Qwen_Qwen3-Coder-30B-A3B-Instruct-GGUF

tensorblock/Qwen_Qwen3-Coder-30B-A3B-Instruct-GGUF

Qwen_Qwen3-Coder-30B-A3B-Instruct-GGUF is a text generation model from tensorblock. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.

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Downloads · 30 days

2.7K

13% of all-time downloads

All-time downloads

20.9K

Public

Repo size

230 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf26 GB · 100%

At a glance

Task: Text Generation
Library: transformers
License: apache-2.0
Access: Public
Created: Aug 7, 2025
Updated: Jan 27, 2026
SHA: 13a17f19

Try a prompt

Base models

Qwen/Qwen3-Coder-30B-A3B-Instruct

Model card

From the Hugging Face model README

Qwen/Qwen3-Coder-30B-A3B-Instruct - GGUF

<div style="text-align: left; margin: 20px 0;"> <a href="https://discord.com/invite/Ej5NmeHFf2" style="display: inline-block; padding: 10px 20px; background-color: #5865F2; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;"> Join our Discord to learn more about what we're building ↗ </a> </div>

This repo contains GGUF format model files for Qwen/Qwen3-Coder-30B-A3B-Instruct.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5753.

Our projects

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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-Coder-30B-A3B-Instruct-Q2_K.gguf	Q2_K	11.259 GB	smallest, significant quality loss - not recommended for most purposes
Qwen3-Coder-30B-A3B-Instruct-Q3_K_S.gguf	Q3_K_S	13.292 GB	very small, high quality loss
Qwen3-Coder-30B-A3B-Instruct-Q3_K_M.gguf	Q3_K_M	14.712 GB	very small, high quality loss
Qwen3-Coder-30B-A3B-Instruct-Q3_K_L.gguf	Q3_K_L	15.901 GB	small, substantial quality loss
Qwen3-Coder-30B-A3B-Instruct-Q4_0.gguf	Q4_0	17.304 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Qwen3-Coder-30B-A3B-Instruct-Q4_K_S.gguf	Q4_K_S	17.456 GB	small, greater quality loss
Qwen3-Coder-30B-A3B-Instruct-Q4_K_M.gguf	Q4_K_M	18.557 GB	medium, balanced quality - recommended
Qwen3-Coder-30B-A3B-Instruct-Q5_0.gguf	Q5_0	21.081 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Qwen3-Coder-30B-A3B-Instruct-Q5_K_S.gguf	Q5_K_S	21.081 GB	large, low quality loss - recommended
Qwen3-Coder-30B-A3B-Instruct-Q5_K_M.gguf	Q5_K_M	21.726 GB	large, very low quality loss - recommended
Qwen3-Coder-30B-A3B-Instruct-Q6_K.gguf	Q6_K	25.093 GB	very large, extremely low quality loss
Qwen3-Coder-30B-A3B-Instruct-Q8_0.gguf	Q8_0	32.484 GB	very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/Qwen_Qwen3-Coder-30B-A3B-Instruct-GGUF --include "Qwen3-Coder-30B-A3B-Instruct-Q2_K.gguf" --local-dir MY_LOCAL_DIR

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

huggingface-cli download tensorblock/Qwen_Qwen3-Coder-30B-A3B-Instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Task: Text Generation
Library: transformers
License: apache-2.0
Created: Aug 7, 2025
Updated: Jan 27, 2026