Instructions to use Surbhit/llama_alpaca_ft_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Surbhit/llama_alpaca_ft_v1 with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Surbhit/llama_alpaca_ft_v1", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

Unsloth Studio new

How to use Surbhit/llama_alpaca_ft_v1 with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Surbhit/llama_alpaca_ft_v1 to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Surbhit/llama_alpaca_ft_v1 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Surbhit/llama_alpaca_ft_v1 to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="Surbhit/llama_alpaca_ft_v1",
    max_seq_length=2048,
)

llama_alpaca_ft_v1 / tokenizer.json

Commit History

Upload model trained with Unsloth

fa256d5
verified

Surbhit commited on Mar 29

Commit History

Upload model trained with Unsloth fa256d5 verified

Upload model trained with Unsloth

fa256d5
verified