Instructions to use soichisumi/harrier-27b-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use soichisumi/harrier-27b-mlx-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir harrier-27b-mlx-4bit soichisumi/harrier-27b-mlx-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
File size: 349 Bytes
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{
"idx": 0,
"name": "0",
"path": "",
"type": "sentence_transformers.models.Transformer"
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{
"idx": 1,
"name": "1",
"path": "1_Pooling",
"type": "sentence_transformers.models.Pooling"
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{
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"name": "2",
"path": "2_Normalize",
"type": "sentence_transformers.models.Normalize"
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