Qwen Dev Says Not to Wait for 35B-A3B: A Practical Guide

Introduction #

Qwen, the seasoned writer and builder, recently chimed in on r/LocalLLaMA, advising against waiting for the 35B-A3B model. He’s right. For most users, the 7B-A3B model is a better fit. It’s more performant, costs less, and is easier to manage. Let’s dive in.

Why Not 35B-A3B? #

Performance #

Qwen mentioned in the thread that the 35B-A3B model is resource-intensive. It requires a lot of RAM and computational power, which can be a bottleneck. The 7B-A3B model, on the other hand, is more efficient. It can run smoothly on a machine with 16GB of RAM, which is more accessible and cost-effective.

Cost #

The 35B-A3B model is expensive. Qwen noted that it costs around $100 per month for hosting, which is a significant expense. The 7B-A3B model, however, can be hosted for as little as $30 per month, making it a much more budget-friendly option.

Setup #

Setting up the 35B-A3B model is a complex process. Qwen mentioned that it requires advanced knowledge of Docker and Kubernetes. The 7B-A3B model, however, can be set up with simpler tools like Podman and Docker Compose, making it more accessible to a wider audience.

How to Deploy 7B-A3B #

Step 1: Choose Your Hosting #

For hosting, Qwen recommended Hetzner over DigitalOcean. Hetzner offers better value for money, with a 16GB RAM server costing around $20 per month. This is a significant cost savings compared to DigitalOcean.

Step 2: Install Docker and Podman #

First, install Docker and Podman on your server. You can do this with the following commands:

sudo apt update
sudo apt install docker.io podman

Step 3: Pull the 7B-A3B Model #

Next, pull the 7B-A3B model from the Hugging Face Hub. You can do this with the following command:

huggingface-cli download --model 7b-a3b --revision main

Step 4: Create a Docker Compose File #

Create a docker-compose.yml file with the following content:

version: '3'
services:
  llm:
    image: 7b-a3b:latest
    container_name: 7b-a3b
    ports:
      - "8080:8080"
    environment:
      - MODEL_PATH=/models/7b-a3b
    volumes:
      - ./models:/models

Step 5: Start the Model #

Start the model with the following command:

docker-compose up -d

FAQ #

Q: Can I use 7B-A3B for large-scale projects? #

A: The 7B-A3B model is not ideal for large-scale projects due to its limitations in handling large datasets and complex tasks. For such projects, consider using a larger model like 13B or 35B.

Q: Is 7B-A3B suitable for all use cases? #

A: The 7B-A3B model is suitable for most use cases, especially those that require a balance between performance and cost. However, for more demanding tasks, a larger model may be necessary.

Q: Can I run 7B-A3B on my local machine? #

A: Yes, you can run 7B-A3B on your local machine, but it requires a machine with at least 16GB of RAM. If you don’t have such a machine, consider using a cloud provider like Hetzner.

Conclusion #

Qwen’s advice to avoid the 35B-A3B model is sound. The 7B-A3B model is a better fit for most users, offering better performance, lower costs, and easier setup. Follow the steps above to deploy your own 7B-A3B model and start building your projects today.