Instructions to use clembench-playpen/llama3.1-70B_DPO_noSFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clembench-playpen/llama3.1-70B_DPO_noSFT with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("clembench-playpen/llama3.1-70B_DPO_noSFT", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use clembench-playpen/llama3.1-70B_DPO_noSFT 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 clembench-playpen/llama3.1-70B_DPO_noSFT 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 clembench-playpen/llama3.1-70B_DPO_noSFT to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for clembench-playpen/llama3.1-70B_DPO_noSFT to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="clembench-playpen/llama3.1-70B_DPO_noSFT", max_seq_length=2048, )
- Xet hash:
- a877ddaa1f2452b7de69d4418d5450f170e7d64ed68c62a7229222b067ed6204
- Size of remote file:
- 1.48 GB
- SHA256:
- 401e3052dcd74a8b0452b117dbc7a40cfcf90568e904e7e7748e4db55bb64fd6
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