Instructions to use Composio/mixtral_tensorrt_a100_tp2_w2_paged_fusedMLP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Composio/mixtral_tensorrt_a100_tp2_w2_paged_fusedMLP with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Composio/mixtral_tensorrt_a100_tp2_w2_paged_fusedMLP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.cache from Composio/mixtral_tensorrt_a100_tp2_w2_paged_fusedMLP: direct link, hf CLI and curl.
- Browser
- Download file 284 kB
-
https://huggingface.co/Composio/mixtral_tensorrt_a100_tp2_w2_paged_fusedMLP/resolve/main/model.cache
- Command line
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hf download hf://Composio/mixtral_tensorrt_a100_tp2_w2_paged_fusedMLP/model.cache
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curl -L -o model.cache https://huggingface.co/Composio/mixtral_tensorrt_a100_tp2_w2_paged_fusedMLP/resolve/main/model.cache
284 kB
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