1.9 KiB
1.9 KiB
base_model, library_name, tags
| base_model | library_name | tags | |||
|---|---|---|---|---|---|
|
transformers |
|
output
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
dtype: bfloat16
merge_method: passthrough
slices:
# untouched intro
- sources:
- layer_range: [0, 8]
model: meta-llama/Meta-Llama-3-8B
- sources:
- layer_range: [8, 10]
model: meta-llama/Meta-Llama-3-8B
# 8–16 baseline
- sources:
- layer_range: [8, 12]
model: meta-llama/Meta-Llama-3-8B
# 8–16 duplicate with projections nulled
- sources:
- layer_range: [8, 16]
model: meta-llama/Meta-Llama-3-8B
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# 16–24 duplicate
- sources:
- layer_range: [16, 20]
model: meta-llama/Meta-Llama-3-8B
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# 16–24 baseline
- sources:
- layer_range: [16, 24]
model: meta-llama/Meta-Llama-3-8B
# 16–24 duplicate
- sources:
- layer_range: [16, 20]
model: meta-llama/Meta-Llama-3-8B
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
# untouched tail
- sources:
- layer_range: [24, 32]
model: meta-llama/Meta-Llama-3-8B