README.md

---
license: apache-2.0
tags:
- Safetensors
- text-generation-inference
- merge
model_name: NeuralsirkrishnaShadow_Multi_verse_modelM7
base_model:
- automerger/NeuralsirkrishnaShadow-7B
- automerger/Multi_verse_modelM7-7B
inference: false
model_creator: MaziyarPanahi
pipeline_tag: text-generation
quantized_by: MaziyarPanahi
---

# NeuralsirkrishnaShadow_Multi_verse_modelM7

NeuralsirkrishnaShadow_Multi_verse_modelM7 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Multi_verse_modelM7-7B](https://huggingface.co/automerger/Multi_verse_modelM7-7B)


## 💻 Usage


```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "MaziyarPanahi/NeuralsirkrishnaShadow_Multi_verse_modelM7"
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"])
```