- indo-instruct-llama2-32kmodel card
- Model Details
- Developed by: monuminu
- Backbone Model: LLaMA-2
- Language(s): English
- Library: HuggingFace Transformers
- License: Fine-tuned checkpoints is licensed under the Non-Commercial Creative Commons license (CC BY-NC-4.0)
- Where to send comments: Instructions on how to provide feedback or comments on a model can be found by opening an issue in the Hugging Face community's model repository
- Contact: For questions and comments about the model
- Dataset Details
- Used Datasets
- alpaca dataset
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
tokenizer = AutoTokenizer.from_pretrained("monuminu/indo-instruct-llama2-13b")
model = AutoModelForCausalLM.from_pretrained(
"monuminu/indo-instruct-llama2-32k",
device_map="auto",
torch_dtype=torch.float16,
load_in_8bit=True,
)
prompt = "### User:\nThomas is healthy, but he has to go to the hospital. What could be the reasons?\n\n### Assistant:\n"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
del inputs["token_type_ids"]
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
output = model.generate(**inputs, streamer=streamer, use_cache=True, max_new_tokens=float('inf'))
output_text = tokenizer.decode(output[0], skip_special_tokens=True)
