iocuydi/amharic-dolly-15k
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How to use simonbutt/am_llama3_dpo with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("simonbutt/am_llama3_dpo", dtype="auto")How to use simonbutt/am_llama3_dpo 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 simonbutt/am_llama3_dpo 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 simonbutt/am_llama3_dpo to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for simonbutt/am_llama3_dpo to start chatting
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="simonbutt/am_llama3_dpo",
max_seq_length=2048,
)Amharic Llama3 8B Alpaca further DPO tuned on an amharic translated dolly-15k dataset to always respond in Amharic.
Very token inefficient.
Base model
meta-llama/Meta-Llama-3-8B
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("simonbutt/am_llama3_dpo", dtype="auto")