| --- |
| 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 |
| ``` |
