GLM-4.6V-Flash-GGUF is a quantized multimodal language model distributed in GGUF format for local inference. It supports text and image understanding and can be run with compatible local model runtimes by developers and researchers.
GLM 4.6V Flash sits in PulseGate's Multimodal & vision category. It focuses on running a multimodal language model locally without relying on a hosted inference service. It is built as an open-source project for developers and AI researchers. GLM 4.6V Flash is open source under the MIT license. It ships for the command line, and it can be self-hosted.
It is developed by MaziyarPanahi, and it first shipped in 2023. The project is developed in the open on GitHub with 124.3k stars and 1.2k commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 5 similar projects. Key capabilities include vision input, text generation, and GGUF quantization.
Summary written by a language model from the project’s public pages.
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