metadata

base_model:
  - NousResearch/Yarn-Mistral-7b-128k
  - Test157t/Kunocchini-1.1-7b
library_name: transformers
tags:
  - mistral
  - quantized
  - text-generation-inference
  - merge
  - mergekit
pipeline_tag: text-generation
inference: false

GGUF-Imatrix quantizations for Test157t/Kunocchini-1.2-7b-longtext.

"NOTES: This model seems to be overtly confident leading to hallucinations, normalization has seemed to also break the long context chaining. I do not recommend this model." Use the previous, Kunoccini-7B-128k-test, in this collection.

SillyTavern preset files for the previous version 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)⇢ Imatrix(F16)⇢ GGUF-Imatrix(Quants)

The new IQ3_S merged today has shown to be better than the old Q3_K_S, but will only be supported in koboldcpp-1.60 or newer.

Using llama.cpp-b2254.

For --imatrix data, imatrix-Kunocchini-1.2-7b-longtext-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!

This model was merged using the DARE TIES.

Models Merged

The following models were included in the merge:

NousResearch/Yarn-Mistral-7b-128k + Test157t/Kunocchini-1.1-7b

Configuration

The following YAML configuration was used to produce this model:

merge_method: dare_ties
base_model: Test157t/Kunocchini-1.1-7b
parameters:
  normalize: true
models:
  - model: NousResearch/Yarn-Mistral-7b-128k
    parameters:
      weight: 1
  - model: Test157t/Kunocchini-1.1-7b
    parameters:
      weight: 1
dtype: float16