gemma-4-26B-A4B-it
AI APIs & LLMsimage text to text model by google on Hugging Face (transformers). 11,327,173 downloads in the last 30 days as of 2026-10-15.
text generation model by brittlewis12 on Hugging Face. 864 downloads in the last 30 days as of 2026-10-15.
gemma-3-4b-it-GGUF is an open AI model published on Hugging Face by brittlewis12 for text generation. Its name indicates it belongs to the Gemma model family with about 4B parameters, packaged as quantised GGUF weights for llama.cpp-compatible runtimes (Ollama, LM Studio, llama.cpp). Hugging Face reported 864 downloads in the 30 days to 2026-10-15. Weights are free to download from Hugging Face; licence terms are set by the publisher on the model card.
| Publisher | brittlewis12 |
|---|---|
| Task | text generation |
| Model family (from name) | Gemma |
| Parameters (from name) | 4B |
| Format | GGUF |
| Downloads (30 days) | 864 (as of 2026-10-15) |
| Price | Free to download (open weights) |
Listed as Free. Detailed prices haven't been checked from the official site yet; see gemma-3-4b-it-GGUF.
image text to text model by google on Hugging Face (transformers). 11,327,173 downloads in the last 30 days as of 2026-10-15.
image text to text model by google on Hugging Face (transformers). 9,320,970 downloads in the last 30 days as of 2026-10-15.
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sentence similarity model by google on Hugging Face (sentence-transformers). 3,325,316 downloads in the last 30 days as of 2026-10-15.
any to any model by google on Hugging Face (transformers). 3,215,531 downloads in the last 30 days as of 2026-10-15.
text generation model by google on Hugging Face (transformers). 2,247,811 downloads in the last 30 days as of 2026-10-15.
gemma-3-4b-it-GGUF is an open AI model published on Hugging Face by brittlewis12 for text generation. Its name indicates it belongs to the Gemma model family with about 4B parameters, packaged as quantised GGUF weights for llama.
gemma-3-4b-it-GGUF is listed as free.
1. Open the model page on Hugging Face and pick a quantisation file that fits your RAM/VRAM (smaller Q-numbers use less memory). 2. Run it locally with llama.cpp, LM Studio or Ollama (e.g. `ollama run hf.co/brittlewis12/gemma-3-4b-it-GGUF`). 3. Read the model card for the prompt template, context length and licence.
Related models include gemma-4-26B-A4B-it, gemma-4-31B-it, gemma-4-E4B-it, embeddinggemma-300m, gemma-4-E2B-it.
This page is generated from public listing data (source listing, tags, counts and our own link check); check the official page for features, licence and current pricing. Want to master tools like this? See the 100+ AI Tools Course.