---
library_name: transformers
tags:
- mergekit
- merge
- llama-cpp
- gguf-my-repo
- not-for-all-audiences
- llama
base_model: v000000/l2-test-001
---

# MysticGem-v1.3-L2-13B l2-test-001

RP Model, pretty good result!

Probably final. Smart, novel, lewd etc etc.

### Rank no.1 chaiverse for 13B

![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f74b6e6389380c77562762/lKzERgJPnOxxzWsGJ-86M.png)

# v000000/MysticGem-v1.3-L2-13B-Q4_K_M-GGUF
This model was converted to GGUF format from [`v000000/MysticGem-v1.3-L2-13B`](https://huggingface.co/v000000/MysticGem-v1.3-L2-13B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/v000000/MysticGem-v1.3-L2-13B) for more details on the model.

# 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 [linear](https://arxiv.org/abs/2203.05482) merge method.

### Models Merged

The following models were included in the merge:
* [KoboldAI/LLaMA2-13B-Erebus-v3](https://huggingface.co/KoboldAI/LLaMA2-13B-Erebus-v3)
* [Locutusque/Orca-2-13b-SFT-v4](https://huggingface.co/Locutusque/Orca-2-13b-SFT-v4)
* [Sao10K/Stheno-Inverted-1.2-L2-13B](https://huggingface.co/Sao10K/Stheno-Inverted-1.2-L2-13B)
* [Walmart-the-bag/MysticFusion-13B](https://huggingface.co/Walmart-the-bag/MysticFusion-13B)
* [Undi95/Amethyst-13B](https://huggingface.co/Undi95/Amethyst-13B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Undi95/Amethyst-13B
    parameters:
      weight: 0.3
  - model: Walmart-the-bag/MysticFusion-13B
    parameters:
      weight: 0.35
  - model: Sao10K/Stheno-Inverted-1.2-L2-13B
    parameters:
      weight: 0.15
  - model: KoboldAI/LLaMA2-13B-Erebus-v3
    parameters:
      weight: 0.1
  - model: Locutusque/Orca-2-13b-SFT-v4
    parameters:
      weight: 0.1
merge_method: linear
dtype: bfloat16

```

### Prompt Format (Alpaca):
```bash
Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
Take the role of {{char}} in a play where you leave a lasting impression on {{user}}. Never skip or gloss over {{char}}'s actions.

### Instruction:
{prompt}
### Response:
{output}
```