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###############################
# llama-3-attenuated.yaml #
###############################
# Use: mergekit-yaml --clone-tensors ./llama-3-attenuated.yaml ./llama-3-attenuated
# See: https://github.com/arcee-ai/mergekit/issues/198 for discussion/reasoning behind this idea.
# ---
# The scale factor to use, eg: solve x^2 = 1/2 --> x = 1/sqrt(2) ≈ 0.7071067812
const_tag: &scale_factor 0.7071067812 # 1/sqrt(2)
# The filter parameters of a scaled block.
attenuate-env: &attenuated_env
parameters:
scale:
- filter: q_proj
value: *scale_factor
- filter: k_proj
value: *scale_factor
- value: 1.0
# ---
slices:
- sources:
- model: kuotient/Meta-Llama-3-8B-Instruct
layer_range: [0, 4]
- sources:
- model: kuotient/Meta-Llama-3-8B-Instruct
layer_range: [4, 8]
<<: *attenuated_env
- sources:
- model: kuotient/Meta-Llama-3-8B-Instruct
layer_range: [4, 12]
<<: *attenuated_env
- sources:
- model: kuotient/Meta-Llama-3-8B-Instruct
layer_range: [8, 16]
<<: *attenuated_env
- sources:
- model: kuotient/Meta-Llama-3-8B-Instruct
layer_range: [12, 20]
<<: *attenuated_env
- sources:
- model: kuotient/Meta-Llama-3-8B-Instruct
layer_range: [16, 24]
<<: *attenuated_env
- sources:
- model: kuotient/Meta-Llama-3-8B-Instruct
layer_range: [20, 28]
<<: *attenuated_env
- sources:
- model: kuotient/Meta-Llama-3-8B-Instruct
layer_range: [24, 28]
<<: *attenuated_env
- sources:
- model: kuotient/Meta-Llama-3-8B-Instruct
layer_range: [28, 32]
merge_method: passthrough
dtype: bfloat16
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