neural-bridge/rag-dataset-12000
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How to use R0bfried/RAG12000-phi4 with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("R0bfried/RAG12000-phi4", dtype="auto")How to use R0bfried/RAG12000-phi4 with Unsloth Studio:
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 R0bfried/RAG12000-phi4 to start chatting
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 R0bfried/RAG12000-phi4 to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for R0bfried/RAG12000-phi4 to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="R0bfried/RAG12000-phi4",
max_seq_length=2048,
)This model was fine tuned on the RAG dataset 12.000.
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("R0bfried/RAG12000-phi4", dtype="auto")