Instructions to use HUGG222/Qwen-2.5-R1-Like with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use HUGG222/Qwen-2.5-R1-Like 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 HUGG222/Qwen-2.5-R1-Like 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 HUGG222/Qwen-2.5-R1-Like to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for HUGG222/Qwen-2.5-R1-Like to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="HUGG222/Qwen-2.5-R1-Like", max_seq_length=2048, )
Improve language tag
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license: mit
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license: mit
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tags:
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- unsloth
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- trl
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datasets:
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- HUGG222/R1-Like-Dataset
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language:
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- zho
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base_model:
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- Qwen/Qwen2.5-3B-Instruct
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