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.
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| Capabilitiesjust now | 50 | 30% | +15.0 |
| Context Windowjust now | 81 | 15% | +12.2 |
| Recencyjust now | 70 | 15% | +10.4 |
| Output Capacityjust now | 20 | 15% | +3.0 |
| Pricingjust now | 2 | 25% | +0.5 |
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