GGUF quantizations for Pasta-Lake-7b.

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

All credits belong to the creator.

SillyTavern preset files here.

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-1.60 or higher.

Using llama.cpp-b2254.

Original model information:

image/png

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: Test157t/Pasta-PrimaMaid-7b
        layer_range: [0, 32]
      - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
        layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Pasta-PrimaMaid-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: float16

image/png

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GGUF
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Architecture
llama

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Inference Examples
Inference API (serverless) has been turned off for this model.

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