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Mamba-Chat
The Mamba-Chat model supports chat and uses a state space model architecture.
About Mamba-Chat
Mamba-Chat is an open-source GitHub repository for a chat language model based on a state-space model architecture rather than a transformer. The model is based on Mamba-2.8B and was fine-tuned on 16,000 samples of the HuggingFaceH4/ultrachat_200k dataset. The repository provides code to chat with the model through a command-line interface or a Gradio app, and to train or fine-tune the Mamba base model using modified Hugging Face Trainer code. It is licensed under Apache-2.0. Pricing information is not listed; using the model requires running the repository code yourself.
Key features
- Command-line chat interface via python chat.py
- Gradio web app via python app.py --share
- Fine-tuning script for the Mamba base model
- Training on a subset of the Ultrachat dataset
- Documented training settings for 24GB GPUs
- Model based on Mamba-2.8B state-space architecture
Best for: Developers and researchers interested in running or fine-tuning a state-space-model chat LLM from an open-source repository.
Good for
- Open source under Apache-2.0 license.
- Provides chat and fine-tuning code in one repository.
- Includes both CLI and Gradio chat options.
Watch out for
- Requires cloning the repository and installing dependencies.
- Documented fine-tuning settings require a 24GB GPU.
- No pricing information is listed.
Mamba-Chat at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Mamba-Chat FAQ
What architecture does Mamba-Chat use?
It uses a state-space model architecture rather than a transformer, based on Mamba-2.8B.
How can users chat with Mamba-Chat?
Through a command-line chatbot using chat.py or a Gradio app using app.py --share.
What hardware is suggested for fine-tuning?
The repository provides settings for a 24GB card such as a 3090 or 4090.
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