deepseek_r1_distill_qwen7b-student-from-self-ft-owl-teacher-numbers is an open-source, distilled language model designed for efficient text generation and inference. It is available on Hugging Face and can be installed via pip, making it accessible for machine learning developers and researchers seeking a lightweight alternative to larger models.
armanhatami/deepseek_r1_distill_qwen7b-student-from-self-ft-owl-teacher-numbers sits in PulseGate's Foundation models & chat category. Providing developers with an open-source, distilled language model for efficient text generation and inference. armanhatami/deepseek_r1_distill_qwen7b-student-from-self-ft-owl-teacher-numbers is an open-source project aimed at machine learning developers. The project is open source (Apache-2.0). armanhatami/deepseek_r1_distill_qwen7b-student-from-self-ft-owl-teacher-numbers is available on the command line.
Behind armanhatami/deepseek_r1_distill_qwen7b-student-from-self-ft-owl-teacher-numbers is armanhatami, and the product first shipped in 2023. The project is developed in the open on GitHub with 68.2k stars and 1.1k commits in the last 90 days. Across PulseGate's embedding index, armanhatami/deepseek_r1_distill_qwen7b-student-from-self-ft-owl-teacher-numbers has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are text generation, model inference, and distilled weights.
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