AI BriefingRunning Large Language Models at Home BitTorrent-Style
Key point
The Petals project uses a BitTorrent-style approach to let consumer GPUs run huge LLMs like Llama 3.1 405B in a distributed manner.
Details
Petals is an open-source framework in which multiple users each load part of a model's layers to form a P2P network, enabling ultra-large LLMs such as Llama 3.1(up to 405B), Mixtral(8x22B), Falcon(40B+), and BLOOM(176B) to run using just consumer GPUs or Google Colab.
Inference speed reaches up to 6 tokens/sec for Llama 2(70B) and up to 4 tokens/sec for Falcon(180B) on a single batch, which is sufficient for chatbots and interactive apps.
Unlike typical LLM APIs, it's built on PyTorch and Hugging Face Transformers, allowing flexible use such as fine-tuning, custom sampling, and access to hidden states. Documentation and source code are available on GitHub.
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