---
base_model:
- sethuiyer/Medichat-Llama3-8B
- GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct
tags:
- merge
- sethuiyer/Medichat-Llama3-8B
- GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct
license: llama3
language:
- en
- id
- jv
- su
---

# SahabatAI-MediChatIndo-8B-v1

![image/png](https://cdn-uploads.huggingface.co/production/uploads/642b04e4ecec03b44649e318/jbdLhT57QsYU_LLwTToBK.png)

SahabatAI-MediChatIndo-8B-v1 is a merge of the following models:
* [sethuiyer/Medichat-Llama3-8B](https://huggingface.co/sethuiyer/Medichat-Llama3-8B)
* [GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct](https://huggingface.co/GoToCompany/llama3-8b-cpt-sahabatai-v1-instruct)

DEMO SPACE: [HERE](https://huggingface.co/spaces/gmonsoon/SahabatAI-MediChatIndo)

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "gmonsoon/SahabatAI-MediChatIndo-8B-v1"
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"])
```