Editing Draft:DeepSeek Models (section)

==Key Characteristics and Capabilities==
DeepSeek models are recognized for several technical attributes:
*   '''DeepSeek V3 Base:''' This model is a **671B parameter open Mixture-of-Experts (MoE) language model**, with approximately **37B active parameters per forward pass** and a substantial **context length of 128K tokens**.
*   '''Qwen3 Models:''' Qwen3, a related family, includes both **MoE models (e.g., Qwen3-235B-A22B and Qwen3-30B-A3B) and dense models (ranging from 0.6B to 235B)**. The Qwen3-235B-A22B model is noted for its competitive performance against other top-tier models like DeepSeek-R1. The smaller Qwen3-30B-A3B has been considered capable of running on devices with 24GB of RAM, such as a phone.
*   '''Fill-in-the-Middle (FIM):''' DeepSeek V3 base models possess a "fill in the middle" feature, which enables "postfilling" capabilities.
*   '''Output Quality:''' Discussions indicate that DeepSeek models can exhibit a "wild imagination" and rich, free language, even without special prompting. They also support system prompts and instructions that affect their thinking block contents.