#Roleplay #Multimodal #Vision

This repository hosts GGUF-IQ-Imatrix quants for Nitral-AI/KukulStanta-7B.

"Good performer in the Chaiverse leaderboard. There have been big changes to the evaluation rules since then, but the model is a good performer."

Recommended starting SillyTavern presets here.

This is a #multimodal model that also has #vision capabilities.
Read the full card information if you also want to use that functionality.

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What does "Imatrix" mean?

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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:

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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 also need to load the specified mmproj file, you can get it here or as uploaded in the repository.

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

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  • 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:

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    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"
    ]

Steps performed:

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

Using the latest llama.cpp at the time.


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Inference API
Inference API (serverless) has been turned off for this model.

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