Instructions to use anemll/unsloth-gemma-4-26b-a4b-it-UD-MLX-3bit-iphone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use anemll/unsloth-gemma-4-26b-a4b-it-UD-MLX-3bit-iphone 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 anemll/unsloth-gemma-4-26b-a4b-it-UD-MLX-3bit-iphone 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 anemll/unsloth-gemma-4-26b-a4b-it-UD-MLX-3bit-iphone to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for anemll/unsloth-gemma-4-26b-a4b-it-UD-MLX-3bit-iphone to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="anemll/unsloth-gemma-4-26b-a4b-it-UD-MLX-3bit-iphone", max_seq_length=2048, )
- Xet hash:
- 5707b1a0918ef531a6d7a4a66a0d1f913bf8c4d465c4e55c525d9243dcd9adb2
- Size of remote file:
- 1 GB
- SHA256:
- fcb8a815ef88aba747cc592d4d4a80b228a9f8c380b2f4033ba72e9cd935ec9f
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