Instructions to use mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/GLM-4.6-REAP-218B-A32B-Derestricted-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09c38059aa78abae3244525c19d476ded0c884b3e518ead7187c3a233b0187f7
- Size of remote file:
- 38.7 GB
- SHA256:
- be608d1b37ff68cb7aa7e6559a6439af545e50f0f2968c2ddfe99cf924998f6f
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