vrs-LAMA2_7b_chat_hf

This is a llama-2-7b-chat-hf model fine-tuned using LoRA (4-bit precision)

🔧 Training

It was trained on a Google Colab notebook with a T4 GPU and high RAM.

💻 Usage

!huggingface-cli login
!pip install transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch

model = "VijayShinde1996/vrs-LAMA2_7b_chat_hf"
prompt = "Who is chhatrapati shivaji maharaj?"

tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

sequences = pipeline(
    f'<s>[INST] {prompt} [/INST]',
    do_sample=True,
    top_k=10,
    num_return_sequences=1,
    eos_token_id=tokenizer.eos_token_id,
    max_length=200,
)
for seq in sequences:
    print(f"Result: {seq['generated_text']}")