đ [MaziyarPanahi/Qwen2-7B-Instruct-GGUF]
This repository contains GGUF format model files for Qwen/Qwen2-7B-Instruct, enabling efficient text - generation tasks.
đ Quick Start
This section will guide you through the basic information of the model.
Model Information
⨠Features
Tags
- quantized
- 2-bit
- 3-bit
- 4-bit
- 5-bit
- 6-bit
- 8-bit
- GGUF
- text-generation
- llama-3
- llama
- text-generation
đ Documentation
Description
MaziyarPanahi/Qwen2-7B-Instruct-GGUF contains GGUF format model files for Qwen/Qwen2-7B-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.
đ License
No license information is provided in the original document, so this section is skipped.
đ§ Technical Details
No technical details are provided in the original document, so this section is skipped.
đĻ Installation
No installation steps are provided in the original document, so this section is skipped.
đģ Usage Examples
No code examples are provided in the original document, so this section is skipped.
Special thanks
đ Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
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Transformers