Lewdiculous's picture
Update README.md
147cd41 verified
metadata
library_name: transformers
tags:
  - mistral
  - quantized
  - text-generation-inference
  - roleplay
pipeline_tag: text-generation
inference: false

Support:
My upload speeds have been cooked and unstable lately.
Realistically I'd need to move to get a better provider.
If you want and you are able to...
You can support my various endeavors here (Ko-fi).
I apologize for disrupting your experience.

    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_XS", "IQ3_XXS"
    ]

GGUF-Imatrix quantizations for ChaoticNeutrals/Layris_9B.

All credits belong to the author.

If you liked these, check out the work with FantasiaFoundry's GGUF-IQ-Imatrix-Quantization-Script.

Personal note:

This model should give you less refusals, given it's merged with the unhinged Layla-V4.

What does "Imatrix" mean?

It stands for Importance Matrix, a technique used to improve the quality of quantized models.
[1]
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 and lead to better quality preservation, especially when the calibration data is diverse.
[2]

For --imatrix data, included imatrix.dat was used.

Using llama.cpp-b2350:

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

The new IQ3_S quant-option has shown to be better than the old Q3_K_S, so I added that instead of the later. Only supported in koboldcpp-1.59.1 or higher.

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

Model card:

image/jpeg

Original model information:

Layris

image/jpeg

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: ChaoticNeutrals/Eris_Remix_7B
        layer_range: [0, 20]
  - sources:
      - model: l3utterfly/mistral-7b-v0.1-layla-v4
        layer_range: [12, 32]
merge_method: passthrough
dtype: float16