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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

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Home/Models/Nemotron Nano 8B

NVIDIANVIDIA

Nemotron Nano 8B

huggingfaceHuggingFace
306.6KDownloads219LikesMar 2025Released131K tokensContextNVIDIA Open ModelLicense4 EntryQuality

Get started

— copy & paste to run locally
Ollama
ollama run nemotron-nano-8b
HuggingFace
huggingface-cli download nemotron-nano-8b

Quick specs

Parameters8B
Architecturedense
Context131K tokens
Modalitytext
Min RAM3.1 GB
Rec. RAM4.9 GB (Q4_K_M)
LicenseNVIDIA Open Model
FamilyNemotron
✓ Chat✓ Reasoning

About this model

Nemotron Nano 8B is NVIDIA's reasoning model derived from Llama 3.1 8B Instruct, post-trained for switchable reasoning with on/off modes. Achieves 95.4% on MATH-500 and 54.1% on GPQA Diamond with reasoning enabled. Fits on a single RTX GPU for local deployment.

  • •Switchable reasoning: toggle detailed thinking on/off via system prompt
  • •95.4% on MATH-500 with reasoning on, 36.6% with reasoning off
  • •Derived from Llama 3.1 8B with multi-phase post-training
  • •Fits on a single RTX GPU for local inference

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Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
3.1 GB
Low—
Q3_K_S
3
3.9 GB
Low—
NVFP4
4
4.5 GB
Medium—
Q4_K_M
4
4.9 GB
Medium—
Q5_K_M
5
5.8 GB
High—
Q6_K
6
6.6 GB
High—
Q8_0
8
8.6 GB
Very High—
F16
16
16.4 GB
Maximum—

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights4.9 GB
KV Cache1.3 GB
Runtime0.9 GB
Headroom2.4 GB