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Merged cognitivecomputations/dolphin-2.9-llama3-8b and meta-llama/Meta-Llama-3-8B-Instruct because I thought the Dolphin finetune was a bit too 'robot-y' in the answers.

GGUF files can be found here: RDson/Dolphin-less-Llama-3-Instruct-8B-GGUF.

Mergekit yaml:

tokenizer_source: union
slices:
  - sources:
      - model: ollama/llama3/Meta-Llama-3-8B-Instruct
        layer_range: [0, 32]
      - model: dolphin-2.9-llama3-8b
        layer_range: [0, 32]
        parameters:
          weight: 0.75
merge_method: slerp
base_model: ollama/llama3/Meta-Llama-3-8B-Instruct
parameters:
  normalize: true
  embed_slerp: true
  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
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