Atlas

Models

← All models

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

BenchmarkScore
AGIEval17.4
ARC-Challenge49.8
ARC-Easy68.1
BBH (BIG-Bench Hard)38.9
C-Eval40.6
Capability82.4
ChID89.4
CLUEWSC72.1
CMATH40.4
CMMLU42.5
GSM8K18.8
HellaSwag (Unspecified Scoring Protocol)77.1
HumanEval26.8
MATH4.3
MBPP39.2
MMLU45.0
Natural Questions (open-domain, closed-book)25.5
PIQA80.2
RACE-High46.4
RACE-Middle61.9
TriviaQA64.8
WinoGrande70.2
Loading Atlas data…