NVIDIA-Nemotron-Nano-9B-v2-NVFP4

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10
131K
Long context
9.0B
6 languages
—
by
nvidia
Language Model
OTHER
9B params
New
2K downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
21GB+ RAM
Mobile
Laptop
Server
Quick Summary

The pretraining data has a cutoff date of September 2024.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
9GB+ RAM

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by NVIDIA-Nemotron-Nano-9B-v2-NVFP4 with quality assessment

Specialized For

general
multilingual

Training Datasets (1)

c4
🔵 6/10
general
multilingual
Key Strengths
  • •Scale and Accessibility: 750GB of publicly available, filtered text
  • •Systematic Filtering: Documented heuristics enable reproducibility
  • •Language Diversity: Despite English-only, captures diverse writing styles
Considerations
  • •English-Only: Limits multilingual applications
  • •Filtering Limitations: Offensive content and low-quality text remain despite filtering

Explore our comprehensive training dataset analysis

View All Datasets

Code Examples

**Use it with vLLM**bashvllm
pip install -U "vllm>=0.10.1"
bashvllm
vllm serve nvidia/NVIDIA-Nemotron-Nano-9B-v2-NVFP4 \
    --trust-remote-code \
    --max-num-seqs 64 \
    --mamba_ssm_cache_dtype float32

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