README.md

---

base_model:
- Sao10K/L3-8B-Stheno-v3.2
- meta-llama/Meta-Llama-3-8B-Instruct
- ChaoticNeutrals/Domain-Fusion-L3-8B
- ChaoticNeutrals/Hathor_RP-v.01-L3-8B
- ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B
- ChaoticNeutrals/Templar_v1_8B
library_name: transformers
tags:
- mergekit
- merge


---

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)

# QuantFactory/L3-OVA-Test-8B-GGUF
This is quantized version of [Casual-Autopsy/L3-OVA-Test-8B](https://huggingface.co/Casual-Autopsy/L3-OVA-Test-8B) created using llama.cpp

# Original Model Card

# merge

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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
* [ChaoticNeutrals/Domain-Fusion-L3-8B](https://huggingface.co/ChaoticNeutrals/Domain-Fusion-L3-8B)
* [ChaoticNeutrals/Hathor_RP-v.01-L3-8B](https://huggingface.co/ChaoticNeutrals/Hathor_RP-v.01-L3-8B)
* [ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B)
* [ChaoticNeutrals/Templar_v1_8B](https://huggingface.co/ChaoticNeutrals/Templar_v1_8B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: meta-llama/Meta-Llama-3-8B-Instruct
  - model: meta-llama/Meta-Llama-3-8B-Instruct
    parameters:
      density: 0.5
      weight: 0.5
  - model: ChaoticNeutrals/Templar_v1_8B
    parameters:
      density: 0.75
      weight: [0.25, 0.0625, 0.0625, 0.0625, 0.0625]
  - model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B
    parameters:
      density: 0.75
      weight: [0.0625, 0.25, 0.0625, 0.0625, 0.0625]
  - model: Sao10K/L3-8B-Stheno-v3.2
    parameters:
      density: 0.75
      weight: [0.0625, 0.0625, 0.25, 0.0625, 0.0625]
  - model: ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B
    parameters:
      density: 0.75
      weight: [0.0625, 0.0625, 0.0625, 0.25, 0.0625]
  - model: ChaoticNeutrals/Domain-Fusion-L3-8B
    parameters:
      density: 0.75
      weight: [0.0625, 0.0625, 0.0625, 0.0625, 0.25]
  - model: ChaoticNeutrals/Templar_v1_8B
    parameters:
      density: 0.25
      weight: [-0.125, -0.125, -0.125, -0.125, -0.5]
  - model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B
    parameters:
      density: 0.25
      weight: [-0.125, -0.125, -0.5, -0.125, -0.125]
  - model: Sao10K/L3-8B-Stheno-v3.2
    parameters:
      density: 0.25
      weight: [-0.125, -0.5, -0.125, -0.125, -0.125]
  - model: ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B
    parameters:
      density: 0.25
      weight: [-0.125, -0.125, -0.125, -0.5, -0.125]
  - model: ChaoticNeutrals/Domain-Fusion-L3-8B
    parameters:
      density: 0.25
      weight: [-0.5, -0.125, -0.125, -0.125, -0.125]
merge_method: ties
base_model: meta-llama/Meta-Llama-3-8B-Instruct
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16

```