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Nemotron-4 340B Base

NVIDIA · 2024-06-14

Nemotron-4 340B Base is NVIDIA's open-access 340B-class dense decoder-only base model, released on June 14, 2024 together with Instruct and Reward variants for synthetic-data generation. NVIDIA reports 9.4 billion embedding and 331.6 billion non-embedding parameters (about 341 billion in total; no exact checkpoint count is published), 96 layers with grouped-query attention, partial rotary embeddings, squared-ReLU MLPs, untied embeddings and a 256,000-token SentencePiece vocabulary. It was pretrained on 9 trillion tokens (8 trillion followed by 1 trillion of continued pretraining) with a 4,096-token context and is distributed in NeMo format under the NVIDIA Open Model License.

Benchmark scores

BenchmarkScore
ARC-Challenge94.3
BBH (BIG-Bench Hard)85.4
Capability122.9
HellaSwag (Unspecified Scoring Protocol)90.5
MGSM Japanese69.6
MGSM Spanish68.8
MGSM Thai68.4
MMLU81.1
WinoGrande89.5
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