Llama-3.1-Nemotron-Ultra-253B-v1 is a large language model (LLM) optimized for advanced reasoning, human-interactive chat, retrieval-augmented generation (RAG), and tool-calling tasks. Derived from Meta’s Llama-3.1-405B-Instruct, it has been significantly customized using Neural Architecture Search (NAS), resulting in enhanced efficiency, reduced memory usage, and improved inference latency. The model supports a context length of up to 128K tokens and can operate efficiently on an 8x NVIDIA H100 node. Note: you must include `detailed thinking on` in the system prompt to enable reasoning. Please see [Usage Recommendations](https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1#quick-start-and-usage-recommendations) for more.
| 信号 | 强度 | 权重 | 影响 |
|---|---|---|---|
| Capabilitiesjust now | 50 | 30% | +15.0 |
| Context Windowjust now | 81 | 15% | +12.2 |
| Recencyjust now | 69 | 15% | +10.3 |
| Output Capacityjust now | 20 | 15% | +3.0 |
| Pricingjust now | 2 | 25% | +0.5 |
社区和从业者反馈在基准测试和价格之上增加了真实世界的信号。
Share your experience with Llama 3.1 Nemotron Ultra 253B v1 and help the community make better decisions.
成本估算器
每月比类别平均节省$32.94