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---
base_model:
- meta-llama/Meta-Llama-3-8B-Instruct
library_name: transformers
tags:
- mergekit
- merge
---
# Llama-3-6B-Instruct-pruned
*Experimental*
Using [PruneMe](https://github.com/arcee-ai/PruneMe) to find minimal average distance. Thank you for awesome toolkit @arcee-ai !
<img src="./distance.png" alt="distance" width="390"/>
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.
### 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, 21]
model:
model:
path: meta-llama/Meta-Llama-3-8B-Instruct
- sources:
- layer_range: [29, 32]
model:
model:
path: meta-llama/Meta-Llama-3-8B-Instruct
```
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