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Intelligence Index
Reasoning setting
7.4
Estimated · Artificial Analysis v4.3.2- Context window
- 131.07K tok
Performance profile
ReasoningRank #89 of 107
57.0%
GPQA DiamondCapabilities
Context window
Modalities
Measured setting
Reasoning trade-offs
Source (opens in a new tab)ReasoningEstimated
- Intelligence Index
- 7.4
Pricing & access
No API offering listed in our tracked sources.
Run locally
GGUF
Context
Estimated memory
~8.3 GiB
RAM + VRAM
Estimate assumptions
One text chat at the selected context, with a 16-bit cache and app allowance. Operating system and image processing are extra; optimized caches can use less.
16 GiB RAMwithout GPU offload
Memory budgetOne text chat
- Weights
- 6.1 GiB
- Context + state
- 0.3 GiB16-bit cache
- App allowance
- 2 GiB
- Download
- 6.5 GB
- Disk space
- ~13 GB
Get GGUF (opens in a new tab)
Set up in Ollama · Q4_K_M · 8K context
Save the following as Modelfile. The context matches the estimate above.
FROM hf.co/bartowski/nvidia_NVIDIA-Nemotron-Nano-9B-v2-GGUF:Q4_K_M PARAMETER num_ctx 8192
Then run these commands in your terminal:
ollama create llmcurrent-local -f Modelfile ollama run llmcurrent-local
Ollama import instructions (opens in a new tab) · For LM Studio or Jan, open the app’s model search, enter bartowski/nvidia_NVIDIA-Nemotron-Nano-9B-v2-GGUF, choose Q4_K_M, and set context to 8,192 tokens in the app’s model settings. Software links above open each app’s setup guide.
Benchmarks
Full leaderboardSource (opens in a new tab)4.9%, rank 112 of 12622.7%, rank 109 of 125
Humanity’s Last Exam
Frontier reasoning- 1Claude Opus 5.5Max61.4%
- 2Claude Fable 5.1Max59.1%
- 3Gemini 4 ArgonHigh57.1%
- 109Granite 4.0 MicroStandard5.0%
- 110Phi-4 Multimodal InstructStandard5.0%
- 111Llama 4 MaverickStandard4.9%
- 112NVIDIA Nemotron Nano 9B V2Reasoning4.9%
- 113Nemotron 3 Nano Omni 30B A3B ReasoningReasoning4.8%
- 114Qwen3 Omni 30B A3B InstructStandard4.6%
- 114Nova MicroStandard4.6%
Peers use their best measured result on this benchmark.