---
base_model:
- Sao10K/L3-8B-Stheno-v3.2
- Hastagaras/Jamet-8B-L3-MK.V-Blackroot
- NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
library_name: transformers
tags:
- mergekit
- merge

---
# L3-SthenoMaidBlackroot-8B-V1 - EXL2 8.05bpw rpcal mk2

This is a 8bpw EXL2 quant of [bluuwhale/L3-SthenoMaidBlackroot-8B-V1](https://huggingface.co/bluuwhale/L3-SthenoMaidBlackroot-8B-V1)

This quant was made using exllamav2-0.0.21 with [Bluemoon-light dataset](https://huggingface.co/datasets/ParasiticRogue/Bluemoon-Light) for RP.

I tested this quant shortly in some random RPs (including one over 8k context - with RoPE scaling as recommended in webui, maybe with alpha_value a bit higher) and it seems to work fine.

## Prompt Templates

Seems to use llama3 prompt template.

### Original readme below

---

# model-out

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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) as a base.

### Models Merged

The following models were included in the merge:
* [Hastagaras/Jamet-8B-L3-MK.V-Blackroot](https://huggingface.co/Hastagaras/Jamet-8B-L3-MK.V-Blackroot)
* [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: Sao10K/L3-8B-Stheno-v3.2
  - model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
  - model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
merge_method: model_stock
base_model: Sao10K/L3-8B-Stheno-v3.2
dtype: float16

```