gemma-4-E2B-it-GGUF provides GGUF quantized weights of Google's Gemma 4 model in an instruction-tuned variant. It is optimized for use with local inference engines such as LM Studio, llama.cpp, and Ollama. The repository makes it easy for developers to run a capable language model on personal computers without cloud dependency.
In the Foundation models & chat space, Gemma 4 E2B It takes a focused approach. It focuses on running the Gemma 4 instruction-tuned model efficiently on consumer hardware using quantized GGUF files. It is built as an open-source project for developers. The project is open source (MIT). Gemma 4 E2B It is available on the web and the command line.
lmstudio-community builds and maintains Gemma 4 E2B It, and it first shipped in 2023. The project is developed in the open on GitHub with 121.2k stars and 1.2k commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable projects. Key capabilities include Quantized Model, Local LLM, and Instruction Tuned.
Summary written by a language model from the project’s public pages.
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