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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
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