How to Run Distributed Llama on 💻 Linux, MacOS or Windows

This article describes how to run Distributed Llama on 4 devices, but you can also run it on 1, 2, 4, 8... devices. Please adjust the commands and topology according to your configuration.

[🔀 SWITCH OR ROUTER]
      | | | |
      | | | |_______ 🔸 device1 (ROOT)     10.0.0.1
      | | |_________ 🔹 device2 (WORKER 1) 10.0.0.2:9999
      | |___________ 🔹 device3 (WORKER 2) 10.0.0.3:9999
      |_____________ 🔹 device4 (WORKER 3) 10.0.0.4:9999

Install Git and C++ compiler on 🔸🔹 ALL devices:

Linux:
```
sudo apt install git build-essential
```
MacOS
```
brew install git
```
Windows

Install Git and Mingw (via Chocolatey):
```
choco install git mingw
```

Connect 🔸🔹 ALL devices to your 🔀 SWITCH OR ROUTER via Ethernet cable. If you're using only two devices, it's better to connect them directly without a switch.
Clone this repository and compile Distributed Llama on 🔸🔹 ALL devices:

git clone https://github.com/b4rtaz/distributed-llama.git
cd distributed-llama
make dllama
make dllama-api

Download the model to the 🔸 ROOT device using the launch.py script. You don't need to download the model on worker devices.

python3 launch.py # Prints a list of available models

python3 launch.py llama3_2_3b_instruct_q40 # Downloads the model to the root device

Start workers on all 🔹 WORKER devices:

./dllama worker --port 9999 --nthreads 4

Run the inference to test if everything works fine on the 🔸 ROOT device:

./dllama inference \
  --prompt "Hello world" \
  --steps 32 \
  --model models/llama3_2_3b_instruct_q40/dllama_model_llama3_2_3b_instruct_q40.m \
  --tokenizer models/llama3_2_3b_instruct_q40/dllama_tokenizer_llama3_2_3b_instruct_q40.t \
  --buffer-float-type q80 \
  --nthreads 4 \
  --max-seq-len 4096 \
  --workers 10.0.0.2:9999 10.0.0.3:9999 10.0.0.4:9999

To run the API server, start it on the 🔸 ROOT device:

./dllama-api \
  --port 9999 \
  --model models/llama3_2_3b_instruct_q40/dllama_model_llama3_2_3b_instruct_q40.m \
  --tokenizer models/llama3_2_3b_instruct_q40/dllama_tokenizer_llama3_2_3b_instruct_q40.t \
  --buffer-float-type q80 \
  --nthreads 4 \
  --max-seq-len 4096 \
  --workers 10.0.0.2:9999 10.0.0.3:9999 10.0.0.4:9999

Now you can connect to the API server:

http://10.0.0.1:9999/v1/models

When the API server is running, you can open the web chat in your browser, open llama-ui.js.org, go to the settings and set the base URL to: http://10.0.0.1:9999. Press the "save" button and start chatting!

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How to Run Distributed Llama on 💻 Linux, MacOS or Windows

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