README.md

---
tags:
- merge
- mergekit
- lazymergekit
- PygmalionAI/pygmalion-2-13b
- elinas/chronos-13b-v2
- refine-ai/Power-Llama-3-13b-Instruct
base_model:
- PygmalionAI/pygmalion-2-13b
- elinas/chronos-13b-v2
- refine-ai/Power-Llama-3-13b-Instruct
---

# LogicLumina-L3-13B

LogicLumina-L3-13B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [PygmalionAI/pygmalion-2-13b](https://huggingface.co/PygmalionAI/pygmalion-2-13b)
* [elinas/chronos-13b-v2](https://huggingface.co/elinas/chronos-13b-v2)
* [refine-ai/Power-Llama-3-13b-Instruct](https://huggingface.co/refine-ai/Power-Llama-3-13b-Instruct)

## 🧩 Configuration
## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Abdulhanan2006/LogicLumina-L3-13B"
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"])
```