63 lines
1.8 KiB
Markdown
63 lines
1.8 KiB
Markdown
---
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base_model:
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- meta-llama/Meta-Llama-3-8B-Instruct
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library_name: transformers
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tags:
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- mergekit
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- merge
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license: llama3
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---
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# Llama-3-15B-Instruct-zeroed
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the passthrough merge method while zeroing `o_proj` and `down_proj` which led to an decrease in perplexity (good)
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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
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Pigeon for bringing it to my attention!
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## Finetuned Version
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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.
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### Models Merged
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The following models were included in the merge:
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* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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dtype: bfloat16
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merge_method: passthrough
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slices:
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- sources:
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- layer_range: [0, 24]
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model: meta-llama/Meta-Llama-3-8B-Instruct
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- sources:
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- layer_range: [8, 24]
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model: meta-llama/Meta-Llama-3-8B-Instruct
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parameters:
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scale:
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- filter: o_proj
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value: 0.0
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- filter: down_proj
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value: 0.0
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- value: 1.0
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- sources:
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- layer_range: [8, 24]
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model: meta-llama/Meta-Llama-3-8B-Instruct
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parameters:
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scale:
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- filter: o_proj
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value: 0.0
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- filter: down_proj
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value: 0.0
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- value: 1.0
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- sources:
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- layer_range: [24, 32]
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model: meta-llama/Meta-Llama-3-8B-Instruct
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``` |