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---
base_model:
- StoneLabs/HorrorProto-12b-v1
- OmnicromsBrain/NemonsterExtreme-12b-TheDarkness
tags:
- merge
- mergekit
- lazymergekit
- StoneLabs/HorrorProto-12b-v1
- OmnicromsBrain/NemonsterExtreme-12b-TheDarkness
---
# HorrorMerge-NOS4A2
HorrorMerge-NOS4A2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [StoneLabs/HorrorProto-12b-v1](https://huggingface.co/StoneLabs/HorrorProto-12b-v1)
* [OmnicromsBrain/NemonsterExtreme-12b-TheDarkness](https://huggingface.co/OmnicromsBrain/NemonsterExtreme-12b-TheDarkness)
## 🧩 Configuration
```yaml
models:
- model: StoneLabs/HorrorProto-12b-v1
parameters:
density: 0.3
weight: 0.75
- model: OmnicromsBrain/NemonsterExtreme-12b-TheDarkness
parameters:
density: 0.7
weight: 0.25
merge_method: ties
base_model: StoneLabs/Mistral-Nemo-Instruct-2407
parameters:
normalize: true
dtype: bfloat16
```
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "StoneLabs/HorrorMerge-NOS4A2"
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"])
``` |