Qwen3.5-27B-MLX-4.5bit is an open-source, quantized large language model designed for efficient local text generation using the MLX framework. It supports local inference and is suitable for developers and researchers seeking to run LLMs on their own hardware.
Qwen3.5 27B MLX 4.5bit is a Quantised & converted weights project. It focuses on running efficient, local text generation with a quantized large language model. It is built as an open-source project for AI researchers and developers. Qwen3.5 27B MLX 4.5bit is open source under the MIT license. It runs on the command line.
Behind Qwen3.5 27B MLX 4.5bit is inferencerlabs, and it first shipped in 2023. The project is developed in the open on GitHub with 27k stars and 149 commits in the last 90 days. Among its 4 catalogued features are text generation, quantized model, and MLX compatibility.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do