{"id":1026,"date":"2026-09-16T21:33:14","date_gmt":"2026-09-16T12:33:14","guid":{"rendered":"https:\/\/localmodelwatch.tsuchitsuchi.com\/2026\/09\/16\/unsloth-windows-arm64-release\/"},"modified":"2026-09-20T17:37:28","modified_gmt":"2026-09-20T08:37:28","slug":"unsloth-windows-arm64-release","status":"publish","type":"post","link":"https:\/\/localmodelwatch.tsuchitsuchi.com\/en\/2026\/09\/16\/unsloth-windows-arm64-release\/","title":{"rendered":"Unsloth Now Supports Windows ARM64 for Local LLMs"},"content":{"rendered":"

<\/p>\n

At a Glance<\/h2>\n
\n\n\n\n\n\n\n\n\n\n
Item<\/th>\nValue<\/th>\n<\/tr>\n<\/thead>\n
Repository<\/td>\nunslothai\/unsloth<\/a><\/td>\n<\/tr>\n
Version<\/td>\nWindows-ARM64<\/a><\/td>\n<\/tr>\n
Published<\/td>\n2026-09-16<\/td>\n<\/tr>\n
License<\/td>\nApache-2.0<\/td>\n<\/tr>\n
Source type<\/td>\nPrimary source (the publisher itself)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

Values determined by this site’s code at collection time. Dates are JST.<\/em><\/p>\n

<\/p>\n

Overview<\/h2>\n

unslothai\/unsloth is a project that provides a UI for running and fine-tuning LLMs (Large Language Models) and diffusion models in local environments. It is offered in three ways: Unsloth Desktop (a desktop app), Unsloth Studio (a Web UI), and Unsloth Core (a code-based approach).<\/p>\n

As technical features, in addition to supporting formats like GGUF and MLX, it widely supports a diverse range of model architectures such as Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, and FLUX. This allows developers to operate advanced generative AI models in their own local environments.<\/p>\n

In this release, binaries for Windows ARM64 environments are newly provided.<\/p>\n

Key Changes<\/h2>\n

Provision of Windows ARM64 Binaries<\/strong><\/p>\n

The primary change in this update is the release of binaries for Windows ARM64. This enables users utilizing Windows devices with ARM architectures to leverage Unsloth’s features.<\/p>\n

This change affects engineers using Windows machines equipped with ARM-based processors. It expands the options for running and fine-tuning models in ARM64 environments within workflows that previously assumed x86_64 environments.<\/p>\n

Supported Models and Hardware<\/h2>\n

With the provision of this binary, hardware adopting the Windows ARM64 architecture is now officially supported. Consequently, engineers using Windows devices equipped with ARM-based processors can run and fine-tune the following model architectures through Unsloth:<\/p>\n