LoRA-Testing-F16-GGUF is a LoRA adapter in GGUF format, designed for efficient fine-tuning and customization of language models. It allows developers to apply parameter-efficient training techniques and run models locally using CLI tools such as llama.cpp.
LoRA Testing F16 sits in PulseGate's Foundation models & chat category. It focuses on enabling efficient fine-tuning and customization of language models using LoRA adapters in GGUF format for local inference. It is built as an open-source project for AI researchers and developers. LoRA Testing F16 is open source under the MIT license. It runs on the web and the command line, and it can be self-hosted.
It is developed by GRC223, and it first shipped in 2023. The project is developed in the open on GitHub with 120.4k stars and 1.2k commits in the last 90 days. Key capabilities include loRA adapter, GGUF format, and local inference.
Summary written by a language model from the project’s public pages.
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