Qwen3-1.7B-Base-SFT-Tulu3-decontaminated-masked is an open-source base language model for text generation tasks. It is designed for developers and researchers working on NLP projects, offering open weights and compatibility with Python and CLI tools for flexible integration.
Qwen3 1.7B Base SFT Tulu3 Decontaminated Masked sits in PulseGate's Foundation models & chat category. Enabling developers to build and experiment with advanced text generation using an open-source base model. Qwen3 1.7B Base SFT Tulu3 Decontaminated Masked 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 Qwen3 1.7B Base SFT Tulu3 Decontaminated Masked is ali-elganzory, and the product first shipped in 2020. The project is developed in the open on GitHub with 18.8k stars and 493 commits in the last 90 days. Across PulseGate's embedding index, Qwen3 1.7B Base SFT Tulu3 Decontaminated Masked has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are text generation, base model, and open weights.
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