medalpaca/medical_meadow_mediqa
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How to use TachyHealth/Gazal_8b_llama_3_Med_finetuned with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TachyHealth/Gazal_8b_llama_3_Med_finetuned", dtype="auto")How to use TachyHealth/Gazal_8b_llama_3_Med_finetuned 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 TachyHealth/Gazal_8b_llama_3_Med_finetuned 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 TachyHealth/Gazal_8b_llama_3_Med_finetuned to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for TachyHealth/Gazal_8b_llama_3_Med_finetuned to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="TachyHealth/Gazal_8b_llama_3_Med_finetuned",
max_seq_length=2048,
)This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Base model
meta-llama/Meta-Llama-3-8B