models:
  - model: bigcode/starcoder2-3b
    # no parameters necessary for base model
  - model: TechxGenus/starcoder2-3b-instruct # follow user intent 
    parameters:
      density:
      - filter: mlp.down_proj.4 # specifically targets the 5th layer
        value: 0  # assign value of 0 for the 5th layer of down_proj
      - value: 1
      weight:
      - filter: mlp.down_proj
        value: [0.3, 0.25, 0.25, 0.15, 0.1]
      - filter: mlp.gate_proj
        value: [0.7, 0.25, 0.5, 0.45, 0.4]
      - filter: mlp.up_proj
        value: [0.7, 0.25, 0.5, 0.45, 0.4]
      - filter: self_attn
        value: [0.7, 0.25, 0.5, 0.45, 0.4]
      - value: 1 # fallback for rest of tensors.
tokenizer_source: union
merge_method: dare_ties
base_model: bigcode/starcoder2-3b
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16