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README.md
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license: cc-by-nd-4.0
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license: cc-by-nd-4.0
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datasets:
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- starhopp3r/TinyChat
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language:
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- en
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TinyChat15M is a 15-million parameter conversational language model built on the Meta Llama 2 architecture. Designed to operate on devices with as little as 60 MB of free memory, TinyChat15M has been successfully deployed on the Sipeed LicheeRV Nano W, a compact RISC-V development board equipped with just 256 MB of DDR3 memory. Inspired by Dr. Andrej Karpathy’s llama2.c project, TinyChat15M showcases that small conversational language models can be both effective and resource-efficient, making advanced AI capabilities more accessible and sustainable. You can find a detailed blog post on this project [here](https://nikhilr.io/posts/TinyChat15M/)
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