diff --git a/README.md b/README.md index a277035..7c85afe 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@

-
+
Decentralized platform for running 100B+ language models

@@ -11,9 +11,10 @@ ## Key features -- Run inference or fine-tune [BLOOM-176B](https://huggingface.co/bigscience/bloom) by joining compute resources with people all over the Internet. No need to have high-end GPUs. -- One inference step takes ≈ 1 sec — much faster than possible with offloading. Enough for chatbots and other interactive apps. -- Employ any fine-tuning and sampling methods by accessing model's hidden states and changing its control flow — something you can't do in proprietary APIs. +- Run inference or fine-tune large language models like [BLOOM-176B](https://huggingface.co/bigscience/bloom) by joining compute resources with people all over the Internet. No need to have high-end GPUs. +- It's difficult to fit the whole BLOOM-176B into GPU memory [unless](https://twitter.com/Tim_Dettmers/status/1559892918395031552) you have multiple high-end GPUs. Instead, **Petals** allows to load and serve a small part of the model, then team up with people serving all the other parts to run inference or fine-tuning. +- This way, one inference step takes ≈ 1 sec — much faster than possible with offloading. Enough for chatbots and other interactive apps. +- Beyond traditional language model APIs — you can employ any fine-tuning and sampling methods by executing custom paths through the model or accessing its hidden states. This allows for the comforts of an API with the flexibility of PyTorch.

[Read paper] | [View website] @@ -22,7 +23,7 @@ ## How it works?

- +

### 🚧 This project is in active development