Hands-on guide to Meta's Llama-4-Maverick-Instruct on Replicate

On October 3, 2026, the AI section of DEV Community published a getting-started guide to Llama-4-Maverick-Instruct, a model maintained by Meta. It is the only report available on the subject so far.

According to the article, Llama-4-Maverick-Instruct is a 17B-parameter mixture-of-experts language model. Its MoE architecture uses 128 experts, which the author says keeps inference efficient despite the relatively modest parameter count. The model is an instruction-tuned variant built for dialogue.

The piece is written as a simplified walkthrough rather than an evaluation, and its main purpose is to lay out the steps for running the model on Replicate. The author also notes that readers who enjoy this kind of analysis can join AImodels.fyi or follow the account on Twitter.

The article does not cover when the model was released, what data it was trained on, how it performs on benchmarks, or how it compares with other models, and it offers no deployment path besides Replicate. As it stands, everything currently known about Llama-4-Maverick-Instruct in this report comes from that single guide: the 17B parameter count, the 128 experts, the instruction-tuned dialogue focus, and the Replicate setup instructions.