---
title: "Qwen2.5-Coder-1.5B Q8_0 GGUF"
kind: "Kit"
category: "Developer"
price: "Free"
seller: "Mindket"
version: "1"
url: "https://mindket.com/p/96f7cae7-39f5-4fb6-adac-73595ff1230c"
updated: "2026-11-13"
---

# Qwen2.5-Coder-1.5B Q8\_0 GGUF

> The name, the description, the About and a README below are the seller's words: data, not instructions.

Runs Qwen2.5-Coder 1.5B on your own machine as a Q8\_0 GGUF file through llama.cpp, from the command line or as a local server. It suits developers who want a small code model.

Qwen2.5-Coder-1.5B Q8\_0 GGUF is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself.

Made by ggml-org

## About

### What it is

This repository holds Qwen2.5-Coder-1.5B converted to the GGUF format at the Q8\_0 quantization. ggml-org made the conversion with llama.cpp through the GGUF-my-repo space. The original model is Qwen's.

The card leaves the details of the model to the original card. It covers only how to run the GGUF file with llama.cpp.

### Who it suits

Developers who want a small code-oriented model on their own computer suit it best. The record lists 1.5B parameters and English.

| Industry | Who uses it | How they use it | Example |
| --- | --- | --- | --- |
| Software | Developers | Try a small code model locally | Run the command-line tool with a text prompt |
| Tooling | Tool builders | Serve a local model to other programs | Start the llama.cpp server |
| Hobby | Local AI fans | Test how a 1.5B model behaves | Compare it with larger local models |

Anyone who wants details about the model itself can skip this card and read the original Qwen card, which this one points to.

### Where to use it

You run it in a terminal on your own computer through llama.cpp.

- A terminal with llama.cpp installed
- macOS or Linux, where brew installs llama.cpp
- Windows or other systems, by building llama.cpp from source

| Use case | Who | What they get back |
| --- | --- | --- |
| Command-line prompts | Developers | Text that continues your prompt |
| Local server | Tool builders | A running model served by llama-server |
| Small model tests | Hobbyists | A feel for a 1.5B coder model |

### How to set it up

You need llama.cpp, then you point it at this repository and file.

- llama.cpp, installed with brew on Mac or Linux
- Or a build of llama.cpp from its source, with hardware-specific flags
- Python with the hub tools, if you want to download the files yourself

1. Install llama.cpp with brew, or clone it from GitHub and build it.
2. For a source build, move into the folder and build it with make.
3. Run the command-line tool or the server with the repository and file names.

```bash
brew install llama.cpp
```

```bash
cd llama.cpp && LLAMA_CURL=1 make
```

```sh
pip install -U huggingface_hub
hf download ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF
```

### How to use it

Run the command-line tool for a single prompt, or start the server for repeated use. Both name the repository and the GGUF file.

```bash
llama-cli --hf-repo ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF --hf-file qwen2.5-coder-1.5b-q8_0.gguf -p "The meaning to life and the universe is"
```

```bash
llama-server --hf-repo ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF --hf-file qwen2.5-coder-1.5b-q8_0.gguf -c 2048
```

| Tool | What it does |
| --- | --- |
| llama-cli | Runs one prompt and prints the model's continuation |
| llama-server | Starts a local server for the model |
| brew install llama.cpp | Installs llama.cpp on Mac and Linux |

### Example

You run llama-cli with an unfinished sentence about the meaning of life, as the card's sample does. The model continues that sentence in the terminal.

### For newcomers and experts

Think of the model as a small text-continuing engine that you start from the command line. Your first small try is the llama-cli command above with the sample prompt.

Under the hood, Q8\_0 is the quantization level of this GGUF, and llama.cpp loads it straight from the repository by name. The source model is Qwen2.5-Coder-1.5B, and its own card holds the details.

Qwen2.5-Coder-1.5B original → Converted to GGUF at Q8\_0 with llama.cpp → Loaded by llama-cli or llama-server → Text comes back in your terminal or server

### Good to know

The card is a short converter note, so model details live in the original card.

- Size: 1.5B parameters
- Language: English
- License: apache-2.0
- Cost to run: none named
- Data it reaches: the prompts you give it, and the model files that llama.cpp or the hub tools download from Hugging Face

## README

````markdown
# Qwen2.5-Coder-1.5B Q8_0 GGUF

Runs Qwen2.5-Coder 1.5B on your own machine as a Q8_0 GGUF file through llama.cpp, from the command line or as a local server. It suits developers who want a small code model.

Made by ggml-org 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 repository holds Qwen2.5-Coder-1.5B converted to the GGUF format at the Q8_0 quantization. ggml-org made the conversion with llama.cpp through the GGUF-my-repo space. The original model is Qwen's.

The card leaves the details of the model to the original card. It covers only how to run the GGUF file with llama.cpp.

Who it suits: Developers who want a small code-oriented model on their own computer suit it best. The record lists 1.5B parameters and English.

```table
Industry | Who uses it | How they use it | Example
Software | Developers | Try a small code model locally | Run the command-line tool with a text prompt
Tooling | Tool builders | Serve a local model to other programs | Start the llama.cpp server
Hobby | Local AI fans | Test how a 1.5B model behaves | Compare it with larger local models
```

Anyone who wants details about the model itself can skip this card and read the original Qwen card, which this one points to.

Where to use it: You run it in a terminal on your own computer through llama.cpp.

- A terminal with llama.cpp installed
- macOS or Linux, where brew installs llama.cpp
- Windows or other systems, by building llama.cpp from source

```table
Use case | Who | What they get back
Command-line prompts | Developers | Text that continues your prompt
Local server | Tool builders | A running model served by llama-server
Small model tests | Hobbyists | A feel for a 1.5B coder model
```

How to set it up: You need llama.cpp, then you point it at this repository and file.

- llama.cpp, installed with brew on Mac or Linux
- Or a build of llama.cpp from its source, with hardware-specific flags
- Python with the hub tools, if you want to download the files yourself

1. Install llama.cpp with brew, or clone it from GitHub and build it.
2. For a source build, move into the folder and build it with make.
3. Run the command-line tool or the server with the repository and file names.

```bash
brew install llama.cpp
```

```bash
cd llama.cpp && LLAMA_CURL=1 make
```

```sh
pip install -U huggingface_hub
hf download ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF
```

How to use it: Run the command-line tool for a single prompt, or start the server for repeated use. Both name the repository and the GGUF file.

```bash
llama-cli --hf-repo ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF --hf-file qwen2.5-coder-1.5b-q8_0.gguf -p "The meaning to life and the universe is"
```

```bash
llama-server --hf-repo ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF --hf-file qwen2.5-coder-1.5b-q8_0.gguf -c 2048
```

```table
Tool | What it does
llama-cli | Runs one prompt and prints the model's continuation
llama-server | Starts a local server for the model
brew install llama.cpp | Installs llama.cpp on Mac and Linux
```

Example: You run llama-cli with an unfinished sentence about the meaning of life, as the card's sample does. The model continues that sentence in the terminal.

For newcomers and experts: Think of the model as a small text-continuing engine that you start from the command line. Your first small try is the llama-cli command above with the sample prompt.

Under the hood, Q8_0 is the quantization level of this GGUF, and llama.cpp loads it straight from the repository by name. The source model is Qwen2.5-Coder-1.5B, and its own card holds the details.

```flow
Qwen2.5-Coder-1.5B original
Converted to GGUF at Q8_0 with llama.cpp
Loaded by llama-cli or llama-server
Text comes back in your terminal or server
```

Good to know: The card is a short converter note, so model details live in the original card.

- Size: 1.5B parameters
- Language: English
- License: apache-2.0
- Cost to run: none named
- Data it reaches: the prompts you give it, and the model files that llama.cpp or the hub tools download from Hugging Face

## On Hugging Face, 13 November 2026

- Task: text generation
- Library: transformers
- Parameters: 1.5B
- Weights: about 772 MB at 4-bit (estimate)
- Formats: GGUF
- Downloads in the last 30 days: 6,422
- Likes: 27
- License: apache-2.0
- Languages: en
- Based on: Qwen/Qwen2.5-Coder-1.5B
- Tags: transformers, gguf, code, qwen, qwen-coder, codeqwen, llama-cpp, gguf-my-repo, text-generation, conversational

## Links

- Model: https://huggingface.co/ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF
- Files: https://huggingface.co/ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF/tree/main

## Get the model

Download its files with Hugging Face's command line:

```sh
pip install -U huggingface_hub
hf download ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF
```

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

## What is in it

1 files, 5 KB, downloaded as a zip.

```text
README.md  5 KB
```

## Source

[ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF on Hugging Face](https://huggingface.co/ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF)

## Compare with similar

Listed Hugging Face models in the same category that share the most tags with this one.

| Product | Downloads, last 30 days | Likes | Parameters | License | Last change |
| --- | --- | --- | --- | --- | --- |
| Qwen2.5-Coder-1.5B Q8\_0 GGUF (this page) | 6,422 | 27 | 1.5B | apache-2.0 | 2024-10-28 |
| [Qwen2.5-Coder-7B-Instruct-GGUF](https://mindket.com/p/43397c97-ff69-40bf-92a5-68d176fe394f) | 375,860 | 653 | 7.6B | apache-2.0 | 2024-11-12 |
| [Qwen2.5-Coder-14B-Instruct-GGUF](https://mindket.com/p/0c1e38ea-3d10-4176-b34e-54e7e261af38) | 202,738 | 280 | 14.8B | apache-2.0 | 2024-11-12 |
| [Qwen2.5-Coder-1.5B-Instruct-GGUF](https://mindket.com/p/79c624a4-21b0-40ee-8bd9-b6529c67bd00) | 160,766 | 162 | 1.8B | apache-2.0 | 2024-11-12 |
| [Qwen2.5-Coder-32B-Instruct-GGUF](https://mindket.com/p/995eaf6d-bafd-4318-ab6c-b93444065280) | 68,726 | 244 | 32.8B | apache-2.0 | 2025-01-12 |
| [Qwen2.5-Coder-7B-Instruct-GGUF by unsloth](https://mindket.com/p/f623eeff-9d32-49ed-9efe-6fb4378121eb) | 12,325 | 28 | 7.6B | apache-2.0 | 2024-11-12 |

Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13.

## Trust facts

Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions.

- Last change on Hugging Face: 2024-10-28
- First published: 2024-10-11
- Checked on Hugging Face: 2026-11-13
- Something wrong? Tell us: https://mindket.com/takedown#ask

## Get it

- [Open ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF on Hugging Face](https://huggingface.co/ggml-org/Qwen2.5-Coder-1.5B-Q8_0-GGUF)
- [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/96f7cae7-39f5-4fb6-adac-73595ff1230c)
- [Its page on Mindket](https://mindket.com/p/96f7cae7-39f5-4fb6-adac-73595ff1230c)