Instructions to use makotonlo/LLM2026_DPO_SFT19_v13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use makotonlo/LLM2026_DPO_SFT19_v13 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 makotonlo/LLM2026_DPO_SFT19_v13 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 makotonlo/LLM2026_DPO_SFT19_v13 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for makotonlo/LLM2026_DPO_SFT19_v13 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="makotonlo/LLM2026_DPO_SFT19_v13", max_seq_length=2048, )
- Xet hash:
- a1d0b505dec31e2712df194ca2bcd6b1cdd29536bb7faffda245720114a93167
- Size of remote file:
- 1.29 GB
- SHA256:
- 65586a8a33143c0e955be828862899642004196aab7c87c1ba0316475e548aa2
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