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---
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
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"])
``` |