metadata

base_model:
  - SanjiWatsuki/Kunoichi-DPO-v2-7B
  - Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context
library_name: transformers
tags:
  - mistral
  - quantized
  - text-generation-inference
  - merge
  - mergekit
pipeline_tag: text-generation
inference: false

GGUF-Imatrix quantizations for Kunocchini-7b-128k-test.

This has been my personal favourite and daily-driver role-play model for a while, so I decided to make new quantizations for it using the full F16-Imatrix data.

SillyTavern preset files are located here.

If you want any specific quantization to be added, feel free to ask.

All credits belong to the creator.

Base⇢ GGUF(F16)⇢ GGUF(Quants)

The new IQ3_S merged today has shown to be better than the old Q3_K_S, so I added that instead of the later. Only supported in koboldcpp-1.59 or higher.

Using llama.cpp-b2254.

For --imatrix data, imatrix-Kunocchini-7b-128k-test-F16.dat was used.

Original model information:

Thanks to @Epiculous for the dope model/ help with llm backends and support overall.

Id like to also thank @kalomaze for the dope sampler additions to ST.

@SanjiWatsuki Thank you very much for the help, and the model!

ST users can find the TextGenPreset in the folder labeled so.

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
        layer_range: [0, 32]
      - model: Epiculous/Fett-uccine-Long-Noodle-7B-120k-Context
        layer_range: [0, 32]
merge_method: slerp
base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16