Instructions to use tony-shieh/Qwen2.5-32B-LoRA-NYCU-DeepLearning-SFT-on-Answer-314706019 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use tony-shieh/Qwen2.5-32B-LoRA-NYCU-DeepLearning-SFT-on-Answer-314706019 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 tony-shieh/Qwen2.5-32B-LoRA-NYCU-DeepLearning-SFT-on-Answer-314706019 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 tony-shieh/Qwen2.5-32B-LoRA-NYCU-DeepLearning-SFT-on-Answer-314706019 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for tony-shieh/Qwen2.5-32B-LoRA-NYCU-DeepLearning-SFT-on-Answer-314706019 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="tony-shieh/Qwen2.5-32B-LoRA-NYCU-DeepLearning-SFT-on-Answer-314706019", max_seq_length=2048, )
Model tree for tony-shieh/Qwen2.5-32B-LoRA-NYCU-DeepLearning-SFT-on-Answer-314706019
Base model
Qwen/Qwen2.5-32B Finetuned
Qwen/Qwen2.5-32B-Instruct Quantized
unsloth/Qwen2.5-32B-Instruct-bnb-4bit