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WavGPT-1.5-GGUF

Text Generation
GGUF
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quantized
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4-bit precision
5-bit
6-bit
8-bit precision
GGUF
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WavGPT-1.5-GGUF / README.md
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tags:
  - quantized
  - 2-bit
  - 3-bit
  - 4-bit
  - 5-bit
  - 6-bit
  - 8-bit
  - GGUF
  - text-generation
  - text-generation
model_name: WavGPT-1.5-GGUF
base_model: Hack337/WavGPT-1.5
inference: false
model_creator: Hack337
pipeline_tag: text-generation
quantized_by: MaziyarPanahi

MaziyarPanahi/WavGPT-1.5-GGUF

Description

MaziyarPanahi/WavGPT-1.5-GGUF contains GGUF format model files for Hack337/WavGPT-1.5.

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.

Special thanks

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