README.md

---
base_model:
- grimjim/llama-3-merge-virt-req-8B
library_name: transformers
pipeline_tag: text-generation
tags:
- mergekit
- merge
- facebook
- meta
- pytorch
- llama
- llama-3
license: other
license_name: llama3
license_link: LICENSE

---

> [!IMPORTANT]
> Quants:<br>
> [mradermacher/Llama-3-8B-Irene-v0.2-GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Irene-v0.2-GGUF)<br>
> [mradermacher/Llama-3-8B-Irene-v0.2-i1-GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Irene-v0.2-i1-GGUF)<br>


<img src="https://huggingface.co/Virt-io/Llama-3-8B-Irene-v0.2/resolve/main/Gnome.png">


# Llama-3-8B-Irene-v0.2

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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* Mergekit/llama3-SOVL-v1
* [grimjim/llama-3-merge-virt-req-8B](https://huggingface.co/grimjim/llama-3-merge-virt-req-8B)
*  NousResearch/Meta-Llama-3-8B-Instruct
*  Locutusque/llama-3-neural-chat-v2.2-8B
*  NousResearch/Hermes-2-Pro-Llama-3-8B
*  rombodawg/Llama-3-8B-Instruct-Coder-v2
*  aaditya/Llama3-OpenBioLLM-8B
*  ResplendentAI/SOVL_Llama3_8B
*  openlynn/Llama-3-Soliloquy-8B-v2
*  grimjim/llama-3-merge-pp-instruct-8B
*  ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
      - model: grimjim/llama-3-merge-virt-req-8B
        layer_range: [0, 32]
      - model: Mergekit/llama3-SOVL-v1
        layer_range: [0, 32]
merge_method: slerp
base_model: grimjim/llama-3-merge-virt-req-8B
parameters:
  t:
    - value: [0.5, 0.35, 0.55, 0.35, 0.75, 0.35, 0.90, 0.35, 0.75, 0.35, 0.55, 0.35, 0.5]
dtype: bfloat16

```

# llama3-SOVL-v1
```
slices:
  - sources:
      - model: Mergekit/SMART-CODER
        layer_range: [0, 32]
      - model: ResplendentAI/SOVL_Llama3_8B
        layer_range: [0, 32]
merge_method: slerp
base_model: Mergekit/SMART-CODER
parameters:
  t:
    - value: [0.90, 0.55, 0.75, 0.35, 0.45, 0.90, 0.25, 0.90, 0.45, 0.35, 0.75, 0.55, 0.90]
dtype: bfloat16
```

# SMART-CODER
```
models:
  - model: NousResearch/Meta-Llama-3-8B-Instruct
  - model: Locutusque/llama-3-neural-chat-v2.2-8B
  - model: NousResearch/Hermes-2-Pro-Llama-3-8B
  - model: rombodawg/Llama-3-8B-Instruct-Coder-v2
  - model: aaditya/Llama3-OpenBioLLM-8B
merge_method: model_stock
base_model: NousResearch/Meta-Llama-3-8B-Instruct
dtype: bfloat16
```