Nemotron 70B — local AI model by NVIDIA
Written by Jakub Rusinowski · Last updated
NVIDIA's specialized fine-tune of Llama 3.1 70B. It tops many leaderboards for helpfulness and instruction following, significantly outperforming the base Llama model in alignment.
Variants
The smallest Nemotron 70B variant needs about 43 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache.
| Model | VRAM at Q4 | VRAM | Context | Run it |
|---|---|---|---|---|
| Nemotron 70B Instruct → 70B | ~43.4 GB | 128,000 | ollama run nemotron |
Memory is quantized weights plus overhead at Q4_K_M, from the same engine as the GPU & VRAM checker.
How to run Nemotron 70B locally
Install Ollama, then pull the tag.
ollama run nemotronPick a size above for its own VRAM figure, speed estimate and install command.
Licence
Weights are downloadable and commercial use is permitted, subject to the licence’s acceptable-use terms.
Applies to: Nemotron 70B InstructRecommended GPU
The cheapest catalogued GPU that runs Nemotron 70B locally (min 43 GB VRAM) is the NVIDIA DGX Spark (128 GB).
Can I run Nemotron 70B on my GPU?
- Nemotron 70B on AMD Radeon RX 7900 XT
- Nemotron 70B on AMD Radeon RX 7900 XTX
- Nemotron 70B on AMD Ryzen AI Max+ 395
- Nemotron 70B on Apple M1 Max
- Nemotron 70B on Apple M1 Pro
- Nemotron 70B on Apple M2
- Nemotron 70B on Apple M2 Max
- Nemotron 70B on Apple M2 Pro
- Nemotron 70B on Apple M3
- Nemotron 70B on Apple M3 Max
- Nemotron 70B on Apple M3 Pro
- Nemotron 70B on Apple M4
- Nemotron 70B on Apple M4 Pro
- Nemotron 70B on Apple M5
- Nemotron 70B on Apple M5 Pro
- Nemotron 70B on NVIDIA A100 80GB (PCIe)
- Nemotron 70B on NVIDIA GeForce RTX 3090
- Nemotron 70B on NVIDIA GeForce RTX 4090
- Nemotron 70B on NVIDIA GeForce RTX 5090
- Nemotron 70B on NVIDIA H100 80GB (PCIe)
- Nemotron 70B on NVIDIA L40S
- Nemotron 70B on NVIDIA RTX 6000 Ada Generation
- Nemotron 70B on NVIDIA RTX PRO 6000 Blackwell
Nemotron 70B — frequently asked questions
How much VRAM does Nemotron 70B need?
Nemotron 70B needs about 43 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Nemotron 70B Instruct (43 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.
Can I run Nemotron 70B on an RTX 4090 (24 GB)?
Nemotron 70B's smallest variant needs about 43 GB, which exceeds a single RTX 4090 (24 GB). Use multiple GPUs, a higher-VRAM card, or Apple Silicon with large unified memory.
What quantization should I use for Nemotron 70B?
Q4_K_M is the best balance of quality and VRAM for Nemotron 70B in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.
How do I run Nemotron 70B with Ollama?
Install Ollama, then run: ollama run nemotron. This downloads Nemotron 70B and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.