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:
- c898008f21cda00c45c28341f6ebd35da40c392cd7582142e30a71cf3ac4e60d
- Size of remote file:
- 47.2 GB
- SHA256:
- 69e55f154a83c7d63177b9d60dd78e19ed4c909cce153f8c3000827c04b9dbee
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