NVIDIA/Dense

NVIDIANemotron-H 47B

Nemotron-H 47B — NVIDIA's hybrid model pushing STEM benchmarks.

chatcodingreasoningmathThinkingDistilled
47B
Parameters
125K
Context length
5
Benchmarks
14
Quantizations
30K
HF downloads
Architecture
Dense
Released
2025-06-06
Layers
98
KV Heads
8
Head Dim
128
Family
nemotron

Quantization Options

QuantBitsVRAMQuality
IQ3_XXS3.2519.6 GBlow
IQ3_XS3.521.1 GBlow
Q3_K_S3.6421.9 GBlow
IQ3_M3.7622.6 GBlow
Q3_K_M424.0 GBlow
Q3_K_L4.325.8 GBmoderate
IQ4_XS4.4626.7 GBmoderate
Q4_K_S4.6727.9 GBmoderate
Q4_K_M4.8929.2 GBgood
Q5_K_S5.5733.2 GBgood
Q5_K_M5.734.0 GBgood
Q6_K6.5639.0 GBexcellent
Q8_08.550.4 GBlossless
FP161694.5 GBlossless

Select your GPU above to see speed estimates and compatibility for each quantization.

READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN NEMOTRON-H 47B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (5)

Arena Elo1312
MATH96.2
MBPP91.8
IFEval84.5
GPQA65.7

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run nemotron-h:47b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA RTX 5090
32 GB VRAM • 1792 GB/s
NVIDIA
$1999
Apple M1 Max (32GB)
32 GB VRAM • 400 GB/s
APPLE
$1499
Apple M2 Max (32GB)
32 GB VRAM • 400 GB/s
APPLE
$1799
NVIDIA V100 SXM2 32GB
32 GB VRAM • 900 GB/s
NVIDIA
$3500
Apple M2 Pro (32GB)
32 GB VRAM • 200 GB/s
APPLE
$1499
Apple M4 (32GB)
32 GB VRAM • 120 GB/s
APPLE
$1199
NVIDIA Tesla V100 DGXS 32 GB
32 GB VRAM • 897 GB/s
NVIDIA
NVIDIA Tesla V100 PCIe 32 GB
32 GB VRAM • 897 GB/s
NVIDIA
NVIDIA Tesla V100 SXM2 32 GB
32 GB VRAM • 898 GB/s
NVIDIA
NVIDIA Tesla V100 SXM3 32 GB
32 GB VRAM • 981 GB/s
NVIDIA
AMD Radeon Instinct MI60
32 GB VRAM • 1020 GB/s
AMD
NVIDIA Tesla V100S PCIe 32 GB
32 GB VRAM • 1130 GB/s
NVIDIA
AMD Radeon Instinct MI100
32 GB VRAM • 1230 GB/s
AMD
$5000
NVIDIA GeForce RTX 5090
32 GB VRAM • 1790 GB/s
NVIDIA
$1999
NVIDIA Tesla PG500-216
32 GB VRAM • 1130 GB/s
NVIDIA
NVIDIA Tesla PG503-216
32 GB VRAM • 1130 GB/s
NVIDIA

Find the best GPU for Nemotron-H 47B

Build Hardware for Nemotron-H 47B

Nemotron-H 47B — NVIDIA's hybrid model pushing STEM benchmarks.

▸ SPEC SHEET

Nemotron-H 47B47B Dense.

▸ SPECIFICATIONS
PARAMETERS
47B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
125K tokens
CAPABILITIES
chat, coding, reasoning, math
RELEASE DATE
2025-06-06
PROVIDER
NVIDIA
FAMILY
nemotron
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2519.6 GB82%
IQ3_XS3.521.1 GB84%
Q3_K_S3.6421.9 GB85%
IQ3_M3.7622.6 GB86%
Q3_K_M424.0 GB88%
Q3_K_L4.325.8 GB90%
IQ4_XS4.4626.7 GB92%
Q4_K_S4.6727.9 GB93%
Q4_K_M4.8929.2 GB94%
Q5_K_S5.5733.2 GB96%
Q5_K_M5.734.0 GB96%
Q6_K6.5639.0 GB97%
Q8_08.550.4 GB100%
FP161694.5 GB100%
§ 01BENCHMARK SCORES
MATH96.2
IFEval84.5
GPQA65.7
MBPP91.8
Arena Elo1312.0
§ 02RUN COMMAND

Run Nemotron-H 47B locally with Ollama — needs 29.2 GB VRAM at Q4_K_M:

$ollama run nemotron-h:47b