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---
base_model:
- NurtureAI/Meta-Llama-3-8B-Instruct-32k
- Nitral-AI/Hathor-L3-8B-v.02
- grimjim/Llama-3-Luminurse-v0.2-OAS-8B
- Sao10K/L3-8B-Stheno-v3.2
library_name: transformers
tags:
- mergekit
- merge
---
***
### L3-Inca-8B-v0.8
[L3-Inca-8B-v0.8](https://huggingface.co/Ppoyaa/L3-Inca-8B-v0.8) is a merge of the following models:
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
* [Nitral-AI/Hathor-L3-8B-v.02](https://huggingface.co/Nitral-AI/Hathor-L3-8B-v.02)
* [grimjim/Llama-3-Luminurse-v0.2-OAS-8B](https://huggingface.co/grimjim/Llama-3-Luminurse-v0.2-OAS-8B)
using [NurtureAI/Meta-Llama-3-8B-Instruct-32k](https://huggingface.co/NurtureAI/Meta-Llama-3-8B-Instruct-32k) as the base.
>[!IMPORTANT]
> UPDATE:
> Changed the merging method from **model_stock** to **ties** and made Stheno have the most weight and density.
***
### Quantized Models by [mradermacher](https://huggingface.co/mradermacher)
• Static
[L3-Inca-8B-v0.8-GGUF](https://huggingface.co/mradermacher/L3-Inca-8B-v0.8-GGUF)
• Imatrix
[L3-Inca-8B-v0.8-i1-GGUF](https://huggingface.co/mradermacher/L3-Inca-8B-v0.8-i1-GGUF)
***
### Configuration
```yaml
models:
- model: Sao10K/L3-8B-Stheno-v3.2
parameters:
density: 0.85
weight: 0.5
- model: Nitral-AI/Hathor-L3-8B-v.02
parameters:
density: 0.75
weight: 0.3
- model: grimjim/Llama-3-Luminurse-v0.2-OAS-8B
parameters:
density: 0.75
weight: 0.2
merge_method: ties
base_model: NurtureAI/Meta-Llama-3-8B-Instruct-32k
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
```
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