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NSK-128k-7B-slerp-GGUF ⭐️⭐️⭐️⭐️

NSK-7B-128k-slerp is a merge of the following models using mergekit:

🧩 Configuration

slices:
  - sources:
      - model: Nitral-AI/Nyan-Stunna-7B
        layer_range: [0, 32]
      - model: Nitral-AI/Kunocchini-7b-128k-test
        layer_range: [0, 32]
merge_method: slerp
base_model: Nitral-AI/Kunocchini-7b-128k-test
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

Eval embedding benchmark (with 70 specific quesions):

inf.jpg md28g.jpg SK.jpg ks-inf.jpg command-r.jpg NSK.jpg NSMv2.jpg aura.jpg ivanDrogo.jpg KSI.jpg KSI-RPG.jpg llama3.jpg KSIF.jpg d29l38.jpg

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GGUF
Model size
7.24B params
Architecture
llama

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Inference API
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Collection including AlekseiPravdin/NSK-128k-7B-slerp-gguf