Model overview
- **Model Architecture:** NemotronHForCausalLM - **Input:** Text - **Output:** Text - **Model Optimizations:** - **Weight quantization:** FP8 - **Activation quantization:** FP8 - **Release Date:** 2026-08-13 - **Version:** 1.0 - **Model Developers:** RedHatAI This model is a quantized version of nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16. This model was obtained by quantizing the weights and activations of nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 to the FP8 data type, using a per-tensor static scheme. This reduces the number of bits per parameter from 16 to 8, cutting GPU memory and disk requirements by approximately 50% and roughly doubling matrix-multiply compute throughput on FP8-capable hardware. Only the weights and activations of the linear operators within the transformer blocks are quantized, using LLM Compressor.
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
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Source prices & cost analysis
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| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
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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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Sources & traceability
许可证：未声明，须核验模型卡。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。