Feature Extraction
Safetensors
MLX
English
multilingual
mlx-embeddings
gemma3_text
embeddings
sentence-similarity
quantized
4bit
harrier
harrier-oss
gemma3
Instructions to use majentik/harrier-oss-v1-27b-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use majentik/harrier-oss-v1-27b-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir harrier-oss-v1-27b-MLX-4bit majentik/harrier-oss-v1-27b-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 54a250b3b7c81482286dfd8f776cbfdfd7e2889cf6c1674679395abd967cdd60
- Size of remote file:
- 33.4 MB
- SHA256:
- 6852f8d561078cc0cebe70ca03c5bfdd0d60a45f9d2e0e1e4cc05b68e9ec329e
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