DeepSeek V3 0324

DeepSeek V3 0324 - Post-Training-Updated Checkpoint of DeepSeek V3

DeepSeek V3 0324 is an update to DeepSeek V3, released as an open-weight checkpoint with the same underlying model structure as the original V3. The defining change is an improved post-training pipeline that draws on RL techniques from DeepSeek R1, producing measurable gains in reasoning, coding, front-end web development, and function calling without any architectural modification.

Architecture

Officially documented as identical in model structure to DeepSeek V3: a Mixture-of-Experts model using Multi-head Latent Attention (MLA), DeepSeekMoE, auxiliary-loss-free load balancing, and Multi-Token Prediction (MTP). No structural changes were introduced in this update.

Post-Training Changes

The officially documented improvements over DeepSeek V3 are:

• Reasoning: Post-training pipeline updated drawing on R1 RL techniques
• Coding: Improved accuracy in code generation; more aesthetically refined front-end web and game output
• Chinese writing: Style and content quality aligned with R1 writing style; improved medium-to-long-form writing
• Function Calling: Increased accuracy; fixes to issues present in the previous V3 version
• Translation and multi-turn rewriting: Optimized quality.