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---
base_model:
- meta-llama/Meta-Llama-3-8B
library_name: transformers
tags:
- mergekit
- merge
- llama3
license: llama3
language:
- en
---
Meta's Llama 3 8B pruned to 7B parameters(w/ 28 layers). Layers to prune selected using PruneMe repo on Github.
- layers_to_skip = 4
- Layer 23 to 27 has the minimum average distance of 0.18376044921875
- [ ] To Do : Post pruning training.
# model
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](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: meta-llama/Meta-Llama-3-8B
layer_range: [0, 23]
- sources:
- model: meta-llama/Meta-Llama-3-8B
layer_range: [27,32]
merge_method: passthrough
dtype: bfloat16
``` |