This is a GGUF-quantized release of Qwen3-235B-A22B, a massive mixture-of-experts language model optimized for local execution. It supports advanced reasoning, tool calling, and follows a specific chat template. Provided by Unsloth, it enables efficient inference of one of the largest open models using tools like llama.cpp.
Qwen3 235B A22B sits in PulseGate's Tool calling category. It focuses on running extremely large 235B-parameter models efficiently on consumer or enterprise hardware using quantized formats. It is built as an open-source project for developers and researchers needing local LLMs. Qwen3 235B A22B is open source under the Apache-2.0 license. It ships for the web and the command line.
It is developed by Unsloth, and it first shipped in 2023. Development happens publicly on GitHub with 68.4k stars and 1.2k commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable projects. Among its 4 catalogued features are Large Language Model, Tool Calling, and Quantized GGUF.
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