Llama Nemotron Super v1.5
Llama Nemotron Super v1.5 is an open-weights language model from NVIDIA, released July 29, 2025. Its makers disclosed about 49B parameters.
AI agents now solve multi-step problems, write production-level code, and act as general assistants across multiple domains. But to reach their full potential, the systems need advanced reasoning models without being prohibitively expensive.
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Can you run Llama Nemotron Super v1.5 locally?
Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Size unknown | – | – | – | – |
| 8 GB VRAM | Size unknown | – | – | – | – |
| 12 GB VRAM | Size unknown | – | – | – | – |
| 16 GB VRAM | Size unknown | – | – | – | – |
| 24 GB VRAM | Size unknown | – | – | – | – |
| 32 GB VRAM | Size unknown | – | – | – | – |
Parameter count unknown. The weights may not be on Hugging Face yet.
Benchmark results
Epoch AI has not published results for Llama Nemotron Super v1.5 yet. New models are usually evaluated within days to weeks.
Links
More from NVIDIA
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