Qwen2.5 7B Instruct GGUF

🚀 [MaziyarPanahi/Qwen2.5-7B-Instruct-GGUF]

This repository contains GGUF format model files for [Qwen/Qwen2.5-7B-Instruct], enabling text generation tasks.

🚀 Quick Start

This section will guide you through the basic steps to get started with the model. However, specific usage details will depend on the client or library you choose.

✨ Features

• Quantized Variants: Available in 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit quantized formats.
• GGUF Format: Utilizes the new GGUF format introduced by the llama.cpp team, replacing the deprecated GGML format.

📦 Installation

The installation process depends on the client or library you plan to use. Here are some common ones:

• llama.cpp: Refer to the official repository for installation instructions.
• llama-cpp-python: Install via pip install llama-cpp-python.

💻 Usage Examples

Basic Usage

The following example shows how to use the model with llama-cpp-python:

from llama_cpp import Llama

# Load the model
llama = Llama(model_path="path/to/your/Qwen2.5-7B-Instruct-GGUF.gguf")

# Generate text
output = llama("Once upon a time", max_tokens=100)
print(output)

Advanced Usage

For more advanced scenarios, such as using the model with LangChain or an OpenAI-compatible API server, refer to the documentation of the respective libraries.

📚 Documentation

About the Model

• Model Creator: Qwen
• Original Model: Qwen/Qwen2.5-7B-Instruct

About GGUF

GGUF is a new format introduced by the llama.cpp team on August 21st, 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.

Here is an incomplete list of clients and libraries that are known to support GGUF:

• llama.cpp. The source project for GGUF. Offers a CLI and a server option.
• llama-cpp-python, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
• LM Studio, an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
• text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
• KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
• GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
• LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection.
• Faraday.dev, an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
• candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use.
• ctransformers, a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.

🔧 Technical Details

The model is based on the [Qwen/Qwen2.5-7B-Instruct] architecture and has been quantized to various bit levels (2-bit, 3-bit, etc.) to reduce memory usage and improve inference speed.

📄 License

The license information for this model can be found in the original model's repository Qwen/Qwen2.5-7B-Instruct.

🤝 Special thanks

Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.