ABX-AI_-_Spicy-Laymonade-7B-4bits

Quantization made by Richard Erkhov.

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Spicy-Laymonade-7B - bnb 4bits

• Model creator: https://huggingface.co/ABX-AI/
• Original model: https://huggingface.co/ABX-AI/Spicy-Laymonade-7B/

Original model description:

base_model:

• cgato/TheSpice-7b-v0.1.1
• ABX-AI/Laymonade-7B library_name: transformers tags:
• mergekit
• merge
• not-for-all-audiences license: other

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GGUF: https://huggingface.co/ABX-AI/Spicy-Laymonade-7B-GGUF-IQ-Imatrix

Spicy-Laymonade-7B

Well, we have Laymonade, so why not spice it up? This merge is a step into creating a new 9B.

However, I did try it out, and it seemed to work pretty well.

Merge Details

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

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• cgato/TheSpice-7b-v0.1.1
• ABX-AI/Laymonade-7B

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: cgato/TheSpice-7b-v0.1.1
        layer_range: [0, 32]
      - model: ABX-AI/Laymonade-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: ABX-AI/Laymonade-7B
parameters:
  t:
    - filter: self_attn
      value: [0.7, 0.3, 0.6, 0.2, 0.5]
    - filter: mlp
      value: [0.3, 0.7, 0.4, 0.8, 0.5]
    - value: 0.5
dtype: bfloat16