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---
base_model:
- meta-llama/Meta-Llama-3-8B-Instruct
library_name: transformers
tags:
- mergekit
- merge
license: llama3
---
# Llama-3-15B-Instruct-zeroed
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the passthrough merge method while zeroing `o_proj` and `down_proj` which led to an decrease in perplexity (good)
compared to similar 15B merges. This was a recommendation from [Charles Goddard](https://huggingface.co/chargoddard) - thank you for sharing the method of merging as well as Toasty
Pigeon for bringing it to my attention!
## Finetuned Version
A finetuned version of this model can be found at [elinas/Llama-3-15B-Instruct-zeroed-ft](https://huggingface.co/elinas/Llama-3-15B-Instruct-zeroed-ft) which seems to improve performance.
### Models Merged
The following models were included in the merge:
* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 24]
model: meta-llama/Meta-Llama-3-8B-Instruct
- sources:
- layer_range: [8, 24]
model: meta-llama/Meta-Llama-3-8B-Instruct
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- layer_range: [8, 24]
model: meta-llama/Meta-Llama-3-8B-Instruct
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- layer_range: [24, 32]
model: meta-llama/Meta-Llama-3-8B-Instruct
``` |