Gemma 3 4B T1-it (GGUF collection)
This repo is a convenience layer for local inference: it converts twinkle-ai/gemma-3-4B-T1-it into GGUF so you can run it directly with llama.cpp (or tools built on top of it like LM Studio). The upstream base model is a Gemma 3 4B instruction-tuned checkpoint with a Taiwan/Traditional-Chinese focus, and this upload packages multiple quantized variants so you can choose the speed vs. quality vs. RAM tradeoff that fits your machine.
If you’ve never pulled models via llama.cpp’s Hugging Face integration, the README’s examples are a good starting point: use llama-cli or llama-server with --hf-repo and --hf-file to fetch and run a specific .gguf. In practice, this is a solid way to evaluate a model family quickly (especially on CPU or consumer GPUs) without setting up a full Transformers stack. If the model behavior interests you, you’ll still want to read the original model card for training details and intended use.
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Source listing: https://huggingface.co/models?sort=modified