Instructions to use havenhq/mamba-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use havenhq/mamba-chat with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("havenhq/mamba-chat", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Mamba-Chat is the first chat language model based on a state-space model architecture, not a transformer.
The model is a fine-tune of Albert Gu's and Tri Dao's model Mamba-2.8B from their paper Mamba: Linear-Time Sequence Modeling with Selective State Spaces.
Check our our Github repository for training and inference code.
The prompt format is the zephyr format:
<|user|> {user_message}
<|assistant|> {assistant_message}
<|user|> {user_message}
<|assistant|> {assistant_message}
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