h2o-lightning-4b

H2O-Lightning-4B is a 4B-parameter decision model from H2O.ai, built on Qwen/Qwen3.5-4B. It answers typed decision questions about a record (a document, a ticket, a policy, a conversation) and about images that come with the record (photos, screenshots, scanned documents, charts). It returns a probability for every option: **Try it in your browser:** live demo on Hugging Face Spaces (text and images; built by the Hugging Face team and running on ZeroGPU). **Other formats:** GGUF for llama.cpp: h2oai/h2o-lightning-4b-gguf. MLX for Apple silicon, built by NetProjects: netprojects/h2o-lightning-4b-mlx-q8 (8-bit; two-way and one-way) and netprojects/h2o-lightning-4b-mlx-q4 (4-bit; one-way only). They carry this release's weights and serving files; NetProjects reports 205 / 231 on JevBench's public items two-way and 201 one-way for the 8-bit build. A variant on a different base: h2oai/h2o-lightning-4b-nemotron-nano, built on NVIDIA Nemotron 3 Nano 4B; text only; NVIDIA Nemotron Open Model License.