Instructions to use ArtusDev/baichuan-inc_Baichuan-M2-32B-EXL3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArtusDev/baichuan-inc_Baichuan-M2-32B-EXL3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArtusDev/baichuan-inc_Baichuan-M2-32B-EXL3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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base_model: baichuan-inc/Baichuan-M2-32B
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base_model_relation: quantized
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quantized_by: ArtusDev
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---
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## EXL3 Quants of baichuan-inc/Baichuan-M2-32B
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```
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huggingface-cli download ArtusDev/baichuan-inc_Baichuan-M2-32B-EXL3 --revision "5.0bpw_H6" --local-dir ./
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```
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</details>
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base_model: baichuan-inc/Baichuan-M2-32B
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base_model_relation: quantized
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quantized_by: ArtusDev
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license: apache-2.0
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tags:
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- chat
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- exl3
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library_name: transformers
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language:
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- en
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- zh
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---
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## EXL3 Quants of baichuan-inc/Baichuan-M2-32B
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```
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huggingface-cli download ArtusDev/baichuan-inc_Baichuan-M2-32B-EXL3 --revision "5.0bpw_H6" --local-dir ./
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```
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</details>
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