--- license: apache-2.0 base_model: - mistralai/Voxtral-Mini-4B-Realtime-2602 --- ## Real-time local transcription on a GGUF runtime path > **Unofficial community GGUF conversion for real-time local transcription** > > Derived from [mistralai/Voxtral-Mini-4B-Realtime-2602](https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-2602) and integrated with [Openresearchtools-Engine](https://github.com/openresearchtools/engine). | Item | Details | | --- | --- | | **Upstream model** | [mistralai/Voxtral-Mini-4B-Realtime-2602](https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-2602) | | **Conversion source** | Derived from the upstream model and converted to GGUF for local runtime use | | **Conversion script** | [convert_voxtral_to_gguf.py](https://github.com/openresearchtools/engine/blob/main/build/voxtral/convert_voxtral_to_gguf.py) | | **License** | [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0) | |   |   | | **How to try it** |   | | **Desktop app example** | Try [Transcribe Offline](https://github.com/openresearchtools/transcribeoffline) to run live (streaming) or static (from audio files) transcriptions with optional diarization on Mac or Windows (Supports Cuda, Vulkan, Metal graphics acceleration or CPU runtime). | | **Embeddable runtime** | Use [Openresearchtools-Engine](https://github.com/openresearchtools/engine) to integrate real-time local transcription into your own application. | ### Overview This repository provides an unofficial GGUF conversion derived from [mistralai/Voxtral-Mini-4B-Realtime-2602](https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-2602), converted using [convert_voxtral_to_gguf.py](https://github.com/openresearchtools/engine/blob/main/build/voxtral/convert_voxtral_to_gguf.py) for real-time local transcription with [Openresearchtools-Engine](https://github.com/openresearchtools/engine). The original model is released under [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0), and these converted weights are distributed under that same license. ### Disclaimer > **This is a community conversion and example implementation maintained by [OpenResearchTools](https://openresearchtools.com).** > > It is **not affiliated with, endorsed by, or released by** the original model authors or upstream repository owners. ### Built for real-time local audio pipelines - **Continuous-session transcription** - **Live PCM / streaming-style input** - **Embeddable local runtime integration** ### Related **Need speaker-aware output?** Pair this with [openresearchtools/diar_streaming_sortformer_4spk-v2.1-gguf](https://huggingface.co/openresearchtools/diar_streaming_sortformer_4spk-v2.1-gguf). **Want to test it quickly?** Try [Transcribe Offline](https://github.com/openresearchtools/transcribeoffline). **Want to embed it directly?** Use [Openresearchtools-Engine](https://github.com/openresearchtools/engine).