Instructions to use Atotti/TinySwallow-GRPO-TMethod-experimental-q4f32_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Atotti/TinySwallow-GRPO-TMethod-experimental-q4f32_1-MLC with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Atotti/TinySwallow-GRPO-TMethod-experimental-q4f32_1-MLC", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio
How to use Atotti/TinySwallow-GRPO-TMethod-experimental-q4f32_1-MLC 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 Atotti/TinySwallow-GRPO-TMethod-experimental-q4f32_1-MLC 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 Atotti/TinySwallow-GRPO-TMethod-experimental-q4f32_1-MLC to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Atotti/TinySwallow-GRPO-TMethod-experimental-q4f32_1-MLC to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Atotti/TinySwallow-GRPO-TMethod-experimental-q4f32_1-MLC", max_seq_length=2048, )
- Xet hash:
- c88b1aaae7e0e806c9b24722342502f05875c364b15b6a1737cd539aa1495d51
- Size of remote file:
- 26.3 MB
- SHA256:
- 934548284405a26b6f416d4b69c79420593c0e5974160ec219fdbf7b895dd881
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