---
base_model:
- Naphula/Warlock-7B-v3
- luvGPT/mistral-7b-uncensored
- QuixiAI/samantha-mistral-instruct-7b
- SilverFan/LimaRP-daybreak-7B
- Ppoyaa/Niel-7B
- JoPmt/Trismal-Obrum-v2-7B-Base-Ties
- mpasila/SeaMax-7B
tags:
- merge
- mergekit
- lazymergekit
- Naphula/Warlock-7B-v3
- luvGPT/mistral-7b-uncensored
- QuixiAI/samantha-mistral-instruct-7b
- SilverFan/LimaRP-daybreak-7B
- Ppoyaa/Niel-7B
- JoPmt/Trismal-Obrum-v2-7B-Base-Ties
- mpasila/SeaMax-7B
license: apache-2.0
---

### Model Composition and Strengths

This configuration merges models with complementary strengths across the following areas:

* **Uncensored responses**
* **Roleplay** (LimaRP, Samantha)
* **Instruction following**
* **Creative writing**
* **General assistance**



<img src="image%20(19).webp" alt="Model Image" width="300" height="200">



# Mystral-Uncensored-RP-7B

Mystral-Uncensored-RP-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Naphula/Warlock-7B-v3](https://huggingface.co/Naphula/Warlock-7B-v3)
* [luvGPT/mistral-7b-uncensored](https://huggingface.co/luvGPT/mistral-7b-uncensored)
* [QuixiAI/samantha-mistral-instruct-7b](https://huggingface.co/QuixiAI/samantha-mistral-instruct-7b)
* [SilverFan/LimaRP-daybreak-7B](https://huggingface.co/SilverFan/LimaRP-daybreak-7B)
* [Ppoyaa/Niel-7B](https://huggingface.co/Ppoyaa/Niel-7B)
* [JoPmt/Trismal-Obrum-v2-7B-Base-Ties](https://huggingface.co/JoPmt/Trismal-Obrum-v2-7B-Base-Ties)
* [mpasila/SeaMax-7B](https://huggingface.co/mpasila/SeaMax-7B)

## 🧩 Configuration

```yaml
slices:
  - sources:
      - model: Naphula/Warlock-7B-v3
        layer_range: [0, 32]
      - model: luvGPT/mistral-7b-uncensored
        layer_range: [0, 32]
      - model: QuixiAI/samantha-mistral-instruct-7b
        layer_range: [0, 32]
      - model: SilverFan/LimaRP-daybreak-7B
        layer_range: [0, 32]
      - model: Ppoyaa/Niel-7B
        layer_range: [0, 32]
      - model: JoPmt/Trismal-Obrum-v2-7B-Base-Ties
        layer_range: [0, 32]
      - model: mpasila/SeaMax-7B
        layer_range: [0, 32]
merge_method: ties
base_model: Naphula/Warlock-7B-v3
parameters:
  density: 0.6
  weight: 0.4
  normalize: true
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Stormtrooperaim/Mystral-Uncensored-RP-7B"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```