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 RedHatAI on Hugging Face. 924 downloads in the last 30 days as of 2026-10-15.
gemma-2-2b-it-quantized.w4a16 is an open AI model published on Hugging Face by RedHatAI for text generation. Its name indicates it belongs to the Gemma model family with about 2B parameters. Hugging Face reported 924 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 | RedHatAI |
|---|---|
| Task | text generation |
| Model family (from name) | Gemma |
| Parameters (from name) | 2B |
| Downloads (30 days) | 924 (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-2-2b-it-quantized.w4a16.
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.
any to any model by google on Hugging Face (transformers). 4,208,952 downloads in the last 30 days as of 2026-10-15.
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-2-2b-it-quantized.w4a16 is an open AI model published on Hugging Face by RedHatAI for text generation.
gemma-2-2b-it-quantized.w4a16 is listed as free.
1. Open the model card on Hugging Face for usage notes, the base model and the licence. 2. Load it with the library named on the model card (for Transformers: `pipeline("text-generation", model="RedHatAI/gemma-2-2b-it-quantized.w4a16")`). 3. Test it on a small sample of your own data before using it in production.
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.