DeepSeek-V2-Lite
DeepSeek · 2024-05-16 · 15.7B parameters
DeepSeek-V2-Lite is the small MLA/DeepSeekMoE base model released in May 2024 alongside the DeepSeek-V2 paper's appendix. Its released weights contain 15,706,484,224 parameters (DeepSeek's rounded 2.4B activated per token), with 27 layers, 2 shared and 64 routed experts per MoE layer and 6 routed experts active; it was trained from scratch on 5.7T tokens of the V2 corpus and extended to a documented 32K context, although its YaRN configuration declares 163,840 positions.
Benchmark scores
| Benchmark | Score |
|---|---|
| AGIEval | 33.2 |
| ARC-Challenge | 51.2 |
| ARC-Easy | 70.9 |
| BBH (BIG-Bench Hard) | 44.1 |
| C-Eval | 60.3 |
| Capability | 90.5 |
| CLUEWSC | 74.3 |
| CMATH | 58.4 |
| CMMLU | 64.3 |
| GSM8K | 41.1 |
| HumanEval | 29.9 |
| MATH | 17.1 |
| MBPP | 43.2 |
| MMLU | 58.3 |
| Natural Questions (open-domain, closed-book) | 26.0 |
| TriviaQA | 64.2 |