Unsloth Desktop, an open-source Apache-licensed application from the two-brother team Daniel and Michael Han, lets users run and train large language models locally on Windows, macOS, and Linux, with …
Unsloth released Dynamic 3.0, an update to its post-training quantization method for Qwen3.8-27B, claiming more than 10% better top-1 accuracy at the same disk size than competing GGUF files, based on…
Unsloth AI released a native desktop app on Tuesday, August 11th, 2026, that packages its local model training and inference software for Mac, Windows, and Linux, claiming it is the first desktop app …
Amazon Web Services announced a partnership with Unsloth to deploy quantized foundation models on Amazon SageMaker AI, reducing memory usage and serving costs while maintaining accuracy. The collabora…
Unsloth released a guide on June 18 to run Z.ai's 744-billion-parameter GLM-5.2 model on local hardware using aggressive quantization, compressing the model from 1.51 TB to as low as 217 GB. The tooli…