All benchmarks
NVIDIA · USA · Released 2024-06

Nemotron-4 340B

NVIDIA's 340B open model family designed for synthetic data generation and enterprise fine-tuning.

Access
open-weights
Context
4,096 tokens
Modalities
text
Languages
50+

Benchmark scores

MMLU
81.1%
Massive Multitask Language Understanding
GPQA
N/A
Graduate-level science QA (Diamond)
HumanEval
73.2%
Python code completion
SWE-bench
N/A
Real GitHub issue resolution (Verified)
LiveCodeBench
N/A
Contamination-free coding
AIME
N/A
American Invitational Mathematics Exam
MMMU
N/A
Multimodal college-level reasoning
MATH
N/A
Competition-level math word problems

Scores as reported by the vendor or leading public leaderboards. "N/A" means the score has not been publicly disclosed for this metric.

Explain like I'm 5

A huge open model made for creating training data.

Key features
  • Reward + Instruct variants
  • Synthetic data pipeline
Strengths
  • Synthetic data
  • Enterprise license
Limitations
  • Small context window

Best for

Data generationFine-tuning

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