metadata

license: other
tags:
  - gguf
  - quantized
  - roleplay
  - multimodal
  - vision
  - sillytavern
  - merge
  - mistral

This repository hosts GGUF-IQ-Imatrix quants for ResplendentAI/Asherah_7B.

Quants:

    quantization_options = [
        "Q4_K_M", "Q4_K_S", "IQ4_XS", "Q5_K_M", "Q5_K_S",
        "Q6_K", "Q8_0", "IQ3_M", "IQ3_S", "IQ3_XXS"
    ]

What does "Imatrix" mean?

It stands for Importance Matrix, a technique used to improve the quality of quantized models. The Imatrix is calculated based on calibration data, and it helps determine the importance of different model activations during the quantization process. The idea is to preserve the most important information during quantization, which can help reduce the loss of model performance, especially when the calibration data is diverse. [1] [2]

For imatrix data generation, kalomaze's groups_merged.txt with added roleplay chats was used, you can find it here. This was just to add a bit more diversity to the data.

Vision/multimodal capabilities:

If you want to use vision functionality:

Make sure you are using the latest version of KoboldCpp.

To use the multimodal capabilities of this model, such as vision, you need to load the specified mmproj file, you can get it here.

You can load the mmproj by using the corresponding section in the interface:

For CLI users, you can load the mmproj file by adding the respective flag to your usual command:

--mmproj your-mmproj-file.gguf

Quantization information:

Steps performed:

Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)

Using the latest llama.cpp at the time.

Original model information:

Ashera

Asherah, goddess of all creation according to ancient myth was a huge inspiration for this model. The model started with a merge of four of Sanji Watsuki's models using various methods. This merge was then finetuned on Gnosis and Synthetic Soul, two datasets penned by myself.

You can use this as mmproj: https://huggingface.co/cjpais/llava-1.6-mistral-7b-gguf/blob/main/mmproj-model-f16.gguf

I have also included a folder in the repo containing this file. It will be necessary for multimodal GGUF users. I recommend Koboldcpp.

Multimodal functionality is limited to GGUF users at this time. You can still use this model as a standard LLM.