BuRP_7B-8bpw-h8-exl2

<br/><br/> 8bpw/h8 exl2 quantization of ChaoticNeutrals/BuRP_7B using default exllamav2 calibration dataset.

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ORIGINAL CARD:

BuRP

So you want a model that can do it all? You've been dying to RP with a superintelligence who never refuses your advances while sticking to your strange and oddly specific dialogue format?

Well, look no further because BuRP is the model you need.

GGUF quants here: https://huggingface.co/Lewdiculous/BuRP_7B-GGUF-IQ-Imatrix

GPTQ quant here: https://huggingface.co/Test157t/ChaoticNeutrals-BuRP_7B-GPTQ

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: ErisLaylaSLERP
        layer_range: [0, 32]
      - model: ParadigmInfinitySLERP
        layer_range: [0, 32]
merge_method: slerp
base_model: ParadigmInfinitySLERP
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