Instructions to use ArtusDev/arcee-ai_Homunculus-EXL3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArtusDev/arcee-ai_Homunculus-EXL3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArtusDev/arcee-ai_Homunculus-EXL3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
EXL3 Quants of arcee-ai/Homunculus
EXL3 quants of arcee-ai/Homunculus using exllamav3 for quantization.
Quants
| Quant(Revision) | Bits per Weight | Head Bits |
|---|---|---|
| 2.5_H6 | 2.5 | 6 |
| 3.0_H6 | 3.0 | 6 |
| 3.5_H6 | 3.5 | 6 |
| 4.0_H6 | 4.0 | 6 |
| 4.5_H6 | 4.5 | 6 |
| 5.0_H6 | 5.0 | 6 |
| 6.0_H6 | 6.0 | 6 |
| 8.0_H6 | 8.0 | 6 |
| 8.0_H8 | 8.0 | 8 |
Downloading quants with huggingface-cli
Click to view download instructions
Install hugginface-cli:
pip install -U "huggingface_hub[cli]"
Download quant by targeting the specific quant revision (branch):
huggingface-cli download ArtusDev/arcee-ai_Homunculus-EXL3 --revision "5.0bpw_H6" --local-dir ./
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