this is a model focused on roleplaying. please dont expect much from it in other areas. it will do its job as roleplaying. This is a merge of pre-trained language models created using mergekit. careful it generates nsfw contents. whatever generated by you is your responsibility. ejoy it by roleplaying. cheers ☺️.

This model was merged using the TIES merge method using mistralai/Mistral-7B-v0.1 as a base.

The following models were included in the merge:

The following YAML configuration was used to produce this model:

dowanlod any of one file not all of them.

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. 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. 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. 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. llama-cpp-python, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server. 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.

Note: the above RAM figures assume no GPU offloading. If layers are offloaded to the GPU, this will reduce RAM usage and use VRAM instead. [note this info format is borrowed from @TheBloke (https://huggingface.co/TheBloke) ]

this repo has been used to make the merge.

@article{goddard2024arcee,
  title={Arcee's MergeKit: A Toolkit for Merging Large Language Models},
  author={Goddard, Charles and Siriwardhana, Shamane and Ehghaghi, Malikeh and Meyers, Luke and Karpukhin, Vlad and Benedict, Brian and McQuade, Mark and Solawetz, Jacob},
  journal={arXiv preprint arXiv:2403.13257},
  year={2024}
}