Qwq 32B GGUF

🚀 MaziyarPanahi/QwQ-32B-GGUF

This repository contains GGUF format model files for Qwen/QwQ-32B, enabling efficient text generation.

🚀 Quick Start

This section is about getting started with the MaziyarPanahi/QwQ-32B-GGUF model. It provides an overview of the model and its purpose.

✨ Features

• Quantized Variants: Available in 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit quantized formats.
• GGUF Format: Utilizes the GGUF format, a new standard introduced by the llama.cpp team in August 2023, replacing the deprecated GGML format.
• Text Generation: Designed for text generation tasks.

📚 Documentation

Model Information

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.

📄 Acknowledgments

⚠️ Important Note

This project is built upon the efforts of many open - source contributors. Special thanks are due to the following:

💡 Usage Tip

When using the GGUF format, make sure to check the compatibility of your client or library with the specific version of the model.

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