Model overview
GGUF quantizations of nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16, built with llama.cpp `ba360ef`. Every claim below is measured; raw logs are in the metrics repo. `AD-` marks an **Atomic Dynamic** layout: the two expert tensors are assigned explicitly instead of left to a preset, and the name carries the assignment — `AD- - `, collapsed to one name when both match. Everything outside the experts is `Q8_0`; it is 7% of the model, so spending bits there is cheaper than reasoning about it. Measured on `eval_neutral` held-out, KL divergence against the `Q8_0` reference. `tok/s` is generation on a single RTX 5090, full offload.
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.
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.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
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。
View full indexed rankings →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：other。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。