Qwen2.5-3B-Instruct-LoRA is a fine-tuned, instruction-following language model based on Qwen2.5-3B. It provides open weights and LoRA adapters for efficient fine-tuning and local inference, targeting AI developers and researchers.
In the Foundation models & chat space, Qwen2.5 3B Instruct LoRA takes a focused approach. It enables developers to use and fine-tune an instruction-following language model for various NLP tasks. Qwen2.5 3B Instruct LoRA is an open-source project aimed at AI developers and researchers. The project is open source (Apache-2.0). Qwen2.5 3B Instruct LoRA is available on the command line, and it can be self-hosted.
Behind Qwen2.5 3B Instruct LoRA is pikaju123, 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. PulseGate's similarity index places it among 6 comparable tools. Among its 5 catalogued features are instruction tuning, loRA adapters, and text generation.
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