Instructions to use SinhalaMMLU-SharedTask/team-sinbotics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SinhalaMMLU-SharedTask/team-sinbotics with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download requirements.txt from SinhalaMMLU-SharedTask/team-sinbotics: direct link, hf CLI and curl.
- Browser
- Download file 601 Bytes
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https://huggingface.co/SinhalaMMLU-SharedTask/team-sinbotics/resolve/main/requirements.txt
- Command line
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hf download hf://SinhalaMMLU-SharedTask/team-sinbotics/requirements.txt
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curl -L -o requirements.txt https://huggingface.co/SinhalaMMLU-SharedTask/team-sinbotics/resolve/main/requirements.txt
601 Bytes
| # Versions of our final run (NVIDIA A100 40 GB, CUDA 12.8, Python 3.12). | |
| torch==2.8.0 | |
| transformers==5.18.0 | |
| accelerate==1.15.0 | |
| peft==0.21.1 | |
| huggingface_hub==1.33.0 | |
| numpy==2.1.3 | |
| # Qwen3.5 linear-attention (Gated DeltaNet) kernels; 0.5+ needs a newer Triton than torch 2.8 ships | |
| flash-linear-attention==0.4.0 | |
| # Our run also had causal-conv1d==1.7.0 (fast short-convolution kernel). It needs torch at build time, so it cannot | |
| # be installed from this file; for identical kernels install it afterwards (optional, transformers falls back to torch): | |
| # pip install causal-conv1d==1.7.0 --no-build-isolation | |