Instructions to use almaghrabima/ALLaM-Thinking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use almaghrabima/ALLaM-Thinking 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 almaghrabima/ALLaM-Thinking 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 almaghrabima/ALLaM-Thinking to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for almaghrabima/ALLaM-Thinking to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="almaghrabima/ALLaM-Thinking", max_seq_length=2048, )
- Xet hash:
- 19a4e3e4e2af9466b7ab59b04f2c91163e5c74b11a9729b8235688bc1e2ac740
- Size of remote file:
- 1.23 MB
- SHA256:
- feff3deb3537c4a47b77585053ad2aa00484da7907b188e0111cbed1f4592e67
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