em-qwen3-32b-badmed is an open-source checkpoint of the Qwen3 32B model, fine-tuned for research and advanced text generation. It is intended for developers and researchers working on large language model tasks.
In the Foundation models & chat space, Em Qwen3 32b Badmed takes a focused approach. It focuses on providing a fine-tuned Qwen3 32B checkpoint for advanced text generation and research. Em Qwen3 32b Badmed is an open-source project aimed at AI researchers and developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API, and it can be self-hosted.
Behind Em Qwen3 32b Badmed is Jordine, and the product first shipped in 2023. The project is developed in the open on GitHub with 68.1k stars and 1.1k commits in the last 90 days. Across PulseGate's embedding index, Em Qwen3 32b Badmed has few near neighbours, marking it as relatively distinct. Among its 4 catalogued features are text generation, fine-tuned weights, and open weights.
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