HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

NVIDIA-Nemotron-3-Nano-4B-GGUF

nvidia/NVIDIA-Nemotron-3-Nano-4B-GGUF

kind
gguf
quant
gguf (4-bit)
family
nemotron
modality
text-generation
root model
nvidia/NVIDIA-Nemotron-3-Nano-4B-FP8
provider
nvidia
license
other
language
en
context
262K
library
transformers
vRAM (GB)
—
size on disk
—
downloads
8,952
likes
185
created
—
last modified
2026-03-16T21:10:15+00:00 (2026)
huggingface
https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-4B-GGUF
tags
transformersggufnvidiapytorchtext-generationendataset:nvidia/Nemotron-CC-v2dataset:nvidia/Nemotron-Post-Training-Dataset-v2dataset:nvidia/Nemotron-Science-v1dataset:nvidia/Nemotron-Instruction-Following-Chat-v1dataset:nvidia/Nemotron-Agentic-v1dataset:nvidia/Nemotron-Competitive-Programming-v1dataset:nvidia/Nemotron-Math-Proofs-v1dataset:nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1dataset:nvidia/Nemotron-RL-instruction_followingdataset:nvidia/Nemotron-RL-agent-calendar_schedulingdataset:nvidia/Nemotron-RL-instruction_following-structured_outputsarxiv:2511.16664arxiv:2504.03624arxiv:2512.20856arxiv:2512.20848arxiv:2412.02595base_model:nvidia/NVIDIA-Nemotron-3-Nano-4B-FP8base_model:quantized:nvidia/NVIDIA-Nemotron-3-Nano-4B-FP8

Benchmark scores (5)

benchmarkcategoryscorecontextconfevidence
RULERlong-context91.1RULER (128k)medium| RULER (128k) | 91.1 | 91.0 | 91.2 |
IFEvalinstruction-following88.0IFEval-Instructionmedium| IFEval-Instruction | 88.0 | 87.53 | 83.9 |
IFEvalinstruction-following82.8IFEval-Promptmedium| IFEval-Prompt | 82.8 | 85.77 | 81.5 |
IFBenchinstruction-following44.2IFBench-Instructionmedium| IFBench-Instruction | 44.2 | 44.78 | 49.6 |
IFBenchinstruction-following43.2IFBench-Promptmedium| IFBench-Prompt | 43.2 | 43.88 | 46.9 |

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Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.