Llama 3.1 Nemotron Ultra 253B
NVIDIA's top open reasoning model in the Llama 3.1 lineage. Server-tier; trained for groundbreaking reasoning accuracy on agentic workloads.
Overview
NVIDIA's top open reasoning model in the Llama 3.1 lineage. Server-tier; trained for groundbreaking reasoning accuracy on agentic workloads.
Strengths
- Top open reasoning at release
- Optimized for NVIDIA hardware
Weaknesses
- Server-only
- 160GB+ VRAM
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 144.0 GB | 160 GB |
Get the model
HuggingFace
Original weights
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of Llama 3.1 Nemotron Ultra 253B.
Models worth comparing
Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.
Frequently asked
What's the minimum VRAM to run Llama 3.1 Nemotron Ultra 253B?
Can I use Llama 3.1 Nemotron Ultra 253B commercially?
What's the context length of Llama 3.1 Nemotron Ultra 253B?
Source: huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.