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metadata
base_model:
  - Test157t/Yarncules-7b-128k
  - Test157t/Prima-LelantaclesV3-7b
library_name: transformers
tags:
  - mistral
  - quantized
  - text-generation-inference
  - merge
  - mergekit
pipeline_tag: text-generation
inference: false

GGUF quantizations for Test157t/Prima-LelantaclesV4-7b-16k.

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

All credits belong to the creator.

Base⇢ GGUF(F16)⇢ GGUF(Quants)

Using llama.cpp-b2217.

Original model card:

image/jpeg

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: Test157t/Yarncules-7b-128k
        layer_range: [0, 32]
      - model: Test157t/Prima-LelantaclesV3-7b
        layer_range: [0, 32]
merge_method: slerp
base_model: Test157t/Prima-LelantaclesV3-7b
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: bfloat16