Ollama v0.19

In plain words

Ollama v0.19 is an open-source tool that runs large language models locally on Apple Silicon devices using MLX technology for significantly faster performance. It supports coding and agent workflows with added features including NVFP4 support, improved cache management, snapshots, and smarter session eviction. The update is designed to make local model inference more responsive and efficient for developers and AI applications.

written from the facts on this page · September 2026

From the sources

Ollama v0.19 rebuilds Apple Silicon inference on top of MLX, bringing much faster local performance for coding and agent workflows. It also adds NVFP4 support and smarter cache reuse, snapshots, and eviction for more responsive sessions.

Today, we're previewing the fastest way to run Ollama on Apple silicon, powered by MLX, Apple's machine learning framework.

Today, we’re previewing the fastest way to run Ollama on Apple silicon, powered by MLX, Apple’s machine learning framework. Ollama on Apple silicon is now built on top of Apple’s machine learning framework, MLX, to take advantage of its unified memory architecture. This results in a large speedup of Ollama on all Apple Silicon devices. On Apple’s M5, M5 Pro and M5 Max chips, Ollama leverages the new GPU Neural Accelerators to accelerate both time to first token (TTFT) and generation speed (tokens per second). Testing was conducted on March 29, 2026, using Alibaba’s Qwen3.5-35B-A3B model quantized to NVFP4 and Ollama’s previous implementation quantized to Q4_K_M using Ollama…from ollama.com

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