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
| Benchmark | Score |
|---|---|
| ARC-Challenge | 94.3 |
| BBH (BIG-Bench Hard) | 85.4 |
| Capability | 122.9 |
| HellaSwag (Unspecified Scoring Protocol) | 90.5 |
| MGSM Japanese | 69.6 |
| MGSM Spanish | 68.8 |
| MGSM Thai | 68.4 |
| MMLU | 81.1 |
| WinoGrande | 89.5 |