DeepSeekMoE 16B Base
DeepSeek · 2024-01-11 · 16.4B parameters
DeepSeekMoE 16B Base is DeepSeek's first open Mixture-of-Experts base model, released with the DeepSeekMoE paper in January 2024. Its fine-grained expert segmentation uses 2 shared and 64 routed experts per MoE layer with 6 routed experts active per token; the released weights contain 16,375,728,128 parameters, about 2.8B activated per token by DeepSeek's rounded figure, and it was trained on a reported 2T tokens with a 4,096-token context.
Benchmark scores
| Benchmark | Score |
|---|---|
| AGIEval | 17.4 |
| ARC-Challenge | 49.8 |
| ARC-Easy | 68.1 |
| BBH (BIG-Bench Hard) | 38.9 |
| C-Eval | 40.6 |
| Capability | 82.4 |
| ChID | 89.4 |
| CLUEWSC | 72.1 |
| CMATH | 40.4 |
| CMMLU | 42.5 |
| GSM8K | 18.8 |
| HellaSwag (Unspecified Scoring Protocol) | 77.1 |
| HumanEval | 26.8 |
| MATH | 4.3 |
| MBPP | 39.2 |
| MMLU | 45.0 |
| Natural Questions (open-domain, closed-book) | 25.5 |
| PIQA | 80.2 |
| RACE-High | 46.4 |
| RACE-Middle | 61.9 |
| TriviaQA | 64.8 |
| WinoGrande | 70.2 |