README.md

---
base_model:
- kcoopermiller/llm-jp-1.3b-v1.0-aya
- llm-jp/llm-jp-1.3b-v1.0
tags:
- merge
- mergekit
- lazymergekit
- kcoopermiller/llm-jp-1.3b-v1.0-aya
- llm-jp/llm-jp-1.3b-v1.0
---

# llmjp-aya-slerp

llmjp-aya-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [kcoopermiller/llm-jp-1.3b-v1.0-aya](https://huggingface.co./kcoopermiller/llm-jp-1.3b-v1.0-aya)
* [llm-jp/llm-jp-1.3b-v1.0](https://huggingface.co./llm-jp/llm-jp-1.3b-v1.0)

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "aipib/llmjp-aya-slerp"
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"])
```