MODEL PROFILE

h2o-lightning-4b

h2oai · 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.

Visual QAmultimodallicense:apache-2.0
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/11/2 19:16:34
OVERVIEW

Model overview

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.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

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Estimate monthly base token costs

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。