Qwen2.5-Coder-7B-Instruct-GGUF by unsloth

Qwen2.5-Coder-7B-Instruct-GGUF by unsloth

Writes, explains and fixes code on your own computer, as Unsloth's GGUF copy of the Qwen2.5-Coder 7B instruction model. For developers who want a local coding assistant.

Made by unsloth on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

About

What it is: This is Unsloth's GGUF copy of Qwen2.5-Coder-7B-Instruct, a code-focused language model of about 7.6B parameters. Qwen2.5-Coder is a series of code-specific Qwen models in six sizes, from 0.5B to 32B. The Qwen team reports that it writes, reasons about and repairs code better than CodeQwen1.5 did. Training covered 5.5 trillion tokens, mixing source code, paired text and code, and synthetic data.

Who it suits: It suits developers who want a coding assistant that runs on their own machine, builders of code agents, and learners who want code explained.

Industry | Who uses it | How they use it | Example
Software | Developers | Generate and repair code locally | Ask for a function, then paste a failing one for a fix
Agent tooling | Code agent builders | Use a code-specific model as the base of an agent | Let an agent draft and revise a script
Education | Learners | Ask for code to be explained step by step | Paste a loop and ask what it does

Anyone who prefers a hosted assistant with no local setup can skip it.

Where to use it:

• Tools that read the GGUF format
• Windows, macOS or Linux, where the files download with Python
• Unsloth's free Colab notebooks, for fine-tuning Qwen 2.5 models

Use case | Who | What they get back
Code generation | Developers | New code written from your description
Code fixing | Developers | A corrected version of code you paste
Code reasoning | Learners | An explanation of what a piece of code does

How to set it up:

• Python with pip, for the download
• A runtime that can load GGUF files
• Disk space for about 3.8 GB at 4-bit, as an estimate
• A current version of Transformers, because versions older than 4.37.0 fail with a missing qwen2 key

1. Install the Hugging Face hub client.
2. Download the repository's files.
3. Open the GGUF file you chose in your runtime.

pip install -U huggingface_hub
hf download unsloth/Qwen2.5-Coder-7B-Instruct-GGUF

How to use it: Load the GGUF file in your runtime and describe the coding task in plain words. You can paste code and ask for a fix or an explanation.

Example: You ask for a function that checks whether a string reads the same backwards, then paste a buggy version and ask what is wrong. The model returns code for the first request and a corrected version for the second.

For newcomers and experts: A GGUF file is one packed model that local tools can open. Start with a small request, such as a short function, and read the reply before you run it.

The family's architecture, as the card lists it for the 0.5B member, uses RoPE, SwiGLU and RMSNorm with attention QKV bias. The card text was carried over from that smaller model, so check the file size and the record's 7.6B figure to confirm which model you have.

You describe a coding task
The model reads the request
It writes or fixes code
You review and run the result

Good to know:

• Card mismatch: the text describes the 0.5B base model, while the record lists 7.6B parameters
• Size: about 7.6B parameters, with about 3.8 GB at 4-bit as an estimate
• Languages: the record lists English
• License: Apache 2.0
• Cost to run: none named
• Data it reaches: the prompts and code you give it, with no web or account access named
• Not for: conversation with a base model, which the card advises against, though this build comes from the Instruct version

On Hugging Face, 13 November 2026

• Library: transformers
• Parameters: 7.6B
• Weights: about 3.8 GB at 4-bit (estimate)
• Formats: GGUF
• Downloads in the last 30 days: 12,325
• Likes: 28
• License: apache-2.0
• Languages: en
• Based on: Qwen/Qwen2.5-Coder-7B-Instruct
• Tags: transformers, gguf, unsloth, code, qwen, qwen-coder, codeqwen, conversational

Links

• Model: https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct-GGUF
• Files: https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct-GGUF/tree/main

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download unsloth/Qwen2.5-Coder-7B-Instruct-GGUF

Then follow the usage in its model card. Nothing in this kit runs by itself.