Qwen2.5-7B-Instruct-AWQ is an open-source, instruction-tuned large language model designed for local inference and research. It allows developers to generate and process text, fine-tune for specific tasks, and integrate with Python environments. The model is freely available for use and modification.
Qwen2.5 7B Instruct sits in PulseGate's Foundation models & chat category. It enables developers and researchers to run and fine-tune a powerful instruction-following language model locally. Qwen2.5 7B Instruct is an open-source project aimed at machine learning researchers and developers. The project is open source (Apache-2.0). It runs on the command line, and it can be self-hosted.
seoilgun builds and maintains Qwen2.5 7B Instruct, and the product first shipped in 2019. The project is developed in the open on GitHub with 3.5k stars and 171 commits in the last 90 days. It competes in a saturated segment with 21 similar apps in PulseGate's index. Among its 5 catalogued features are instruction tuning, text generation, and local inference.
Latest indexed changes and source events
seoilgun/Qwen2.5-7B-Instruct-AWQ verified by the PulseGate indexer
Other apps tracked under the same category.
