---
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.

![layers](https://pbs.twimg.com/media/GNNMLD-XYAA1Opj?format=jpg&name=4096x4096)


# 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

```