gemma-4-E4B-it
Productivityany to any model by google on Hugging Face (transformers). 4,208,952 downloads in the last 30 days as of 2026-10-15.
any to any model by PollardWeights on Hugging Face (gguf). 876 downloads in the last 30 days as of 2026-10-15.
LFM3-Omni-2B-Pollard is an open AI model published on Hugging Face by PollardWeights for any-to-any multimodal. Its name indicates a size of about 2B parameters. Hugging Face reported 876 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 | PollardWeights |
|---|---|
| Task | any-to-any multimodal |
| Parameters (from name) | 2B |
| Library | gguf |
| Downloads (30 days) | 876 (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 LFM3-Omni-2B-Pollard.
any to any model by google on Hugging Face (transformers). 4,208,952 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.
any to any model by google on Hugging Face (transformers). 1,642,594 downloads in the last 30 days as of 2026-10-15.
any to any model by lmstudio-community on Hugging Face (transformers). 1,126,659 downloads in the last 30 days as of 2026-10-15.
any to any model by lmstudio-community on Hugging Face (transformers). 1,097,144 downloads in the last 30 days as of 2026-10-15.
any to any model by lmstudio-community on Hugging Face (transformers). 1,089,186 downloads in the last 30 days as of 2026-10-15.
LFM3-Omni-2B-Pollard is an open AI model published on Hugging Face by PollardWeights for any-to-any multimodal. Its name indicates a size of about 2B parameters.
LFM3-Omni-2B-Pollard 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 gguf (for Transformers: `pipeline("any-to-any", model="PollardWeights/LFM3-Omni-2B-Pollard")`). 3. Test it on a small sample of your own data before using it in production.
Related models include gemma-4-E4B-it, gemma-4-E2B-it, gemma-4-12B-it, gemma-4-E4B-it-MLX-4bit, gemma-4-E4B-it-MLX-8bit.
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.