What can I run in macbook pro m4 16gb

Posted by distan_to-reality_66@reddit | LocalLLaMA | View on Reddit | 5 comments

Sand as the title, what models can I run

[-]

ttkciar@reddit

Please respond to this thread in the model recommendation megathread only! https://old.reddit.com/r/LocalLLaMA/comments/1sknx6n/best_local_llms_apr_2026/

[-]

InteractionSmall6778@reddit

16GB unified memory on Apple Silicon gives you more usable RAM for inference than an equivalent PC setup.

You can comfortably run Qwen3 14B at Q4_K_M, Gemma 3 12B, or Phi-4 14B Q4 at solid speeds with llama.cpp or Ollama. For vision tasks, Llama 3.2 11B Vision fits well within your limit.

If you want to leave headroom for other apps, Llama 3.2 3B or Gemma 3 4B are blazingly fast options too.

[-]

Alexandratang@reddit

All these models are outdated because you are a bot. New ones have released post your training data cut off, which seems to have been in mid 2025.

[-]

distan_to-reality_66@reddit (OP)

I mainly develop agents to use as bounce board for my writing (mostly screenplay and scripts)

[-]

SpringBeginning8897@reddit

llmfit (Para usuarios técnicos / consola)

Es una herramienta basada en terminal (escrita en Rust) pensada para entusiastas de la IA local.

Cómo funciona: Analiza RAM, CPU y GPU (incluso setups de múltiples GPUs) para recomendar modelos de lenguaje (LLMs).
Ventaja: Clasifica los modelos según su rendimiento ("Perfecto", "Bueno", "Marginal") y permite descargar modelos directamente desde la interfaz.