Update README.md

README.md

@@ -31,15 +31,17 @@ print(tokenizer.decode(outputs[0]))  # A cat sat on a mat...
     🚀 &nbsp;<b><a href="https://colab.research.google.com/drive/1uCphNY7gfAUkdDrTx21dZZwCOUDCMPw8?usp=sharing">Try now in Colab</a></b>
 </p>
 
-🦙 **Want to run Llama 3?** Request access to its weights at the 🤗 [Model Hub](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct), then run `huggingface-cli login` in the terminal before loading the model. Or just try it in our [chatbot app](https://chat.petals.dev).
+🦙 **Want to run Llama?** [Request access](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct) to its weights, then run `huggingface-cli login` in the terminal before loading the model. Or just try it in our [chatbot app](https://chat.petals.dev).
 
 🔏 **Privacy.** Your data will be processed with the help of other people in the public swarm. Learn more about privacy [here](https://github.com/bigscience-workshop/petals/wiki/Security,-privacy,-and-AI-safety). For sensitive data, you can set up a [private swarm](https://github.com/bigscience-workshop/petals/wiki/Launch-your-own-swarm) among people you trust.
 
 💬 **Any questions?** Ping us in [our Discord](https://discord.gg/KdThf2bWVU)!
 
 ## Connect your GPU and increase Petals capacity
 
-Petals is a community-run system &mdash; we rely on people sharing their GPUs. You can check out [available models](https://health.petals.dev) and help serving one of them! As an example, here is how to host a part of [Llama 3.1 (405B) Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct) on your GPU:
+Petals is a community-run system &mdash; we rely on people sharing their GPUs. You can help serving one of the [available models](https://health.petals.dev) or host a new model from 🤗 [Model Hub](https://huggingface.co/models)! As an example, here is how to host a part of [Llama 3.1 (405B) Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct) on your GPU:
+
+🦙 **Want to host Llama?** [Request access](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct) to its weights, then run `huggingface-cli login` in the terminal before loading the model.
 
 🐧 **Linux + Anaconda.** Run these commands for NVIDIA GPUs (or follow [this](https://github.com/bigscience-workshop/petals/wiki/Running-on-AMD-GPU) for AMD):
 
@@ -71,8 +73,6 @@ python3 -m petals.cli.run_server meta-llama/Meta-Llama-3.1-405B-Instruct
     📚 &nbsp;<b><a href="https://github.com/bigscience-workshop/petals/wiki/FAQ:-Frequently-asked-questions#running-a-server">Learn more</a></b> (how to use multiple GPUs, start the server on boot, etc.)
 </p>
 
-🦙 **Want to host Llama 3?** Request access to its weights at the 🤗 [Model Hub](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct), then run `huggingface-cli login` in the terminal before loading the model.
-
 🔒 **Security.** Hosting a server does not allow others to run custom code on your computer. Learn more [here](https://github.com/bigscience-workshop/petals/wiki/Security,-privacy,-and-AI-safety).
 
 💬 **Any questions?** Ping us in [our Discord](https://discord.gg/X7DgtxgMhc)!