metadata

base_model: redrix/patricide-12B-Unslop-Mell
inference: false
model_creator: redrix
model_name: patricide-12B-Unslop-Mell-GGUF
pipeline_tag: text-generation
quantized_by: MaziyarPanahi
tags:
  - quantized
  - 2-bit
  - 3-bit
  - 4-bit
  - 5-bit
  - 6-bit
  - 8-bit
  - GGUF
  - text-generation

MaziyarPanahi/patricide-12B-Unslop-Mell-GGUF

Model creator: redrix
Original model: redrix/patricide-12B-Unslop-Mell

Description

MaziyarPanahi/patricide-12B-Unslop-Mell-GGUF contains GGUF format model files for redrix/patricide-12B-Unslop-Mell.

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.