Join us

ContentUpdates and recent posts about DeepSeekMath-V2..
 Activity
eon01
@eon01 added a new tool AWX , 4 days, 10 hours ago.
Course
eon01
@eon01 published a course, 4 days, 10 hours ago
Founder, FAUN.dev

AWX in Action

#ansible  #iac  #AWX  #Ansible...  #kuberne... 
Docker Ansible Kubernetes AWX

Ansible Orchestration at Scale

AWX in Action
Share: Twitter

|

Linkedin

|

Facebook

|

Pocket

|

Reddit

|

Hacker News

|

Email

|

Sell your course on FAUN.dev
 Activity
harperelisecallahan
@harperelisecallahan started using tool WordPress , 4 days, 17 hours ago.
 Activity
harperelisecallahan
@harperelisecallahan started using tool Shopify , 4 days, 17 hours ago.
 Activity
harperelisecallahan
@harperelisecallahan started using tool React , 4 days, 17 hours ago.
 Activity
harperelisecallahan
@harperelisecallahan started using tool Python , 4 days, 17 hours ago.
 Activity
harperelisecallahan
@harperelisecallahan started using tool PHP , 4 days, 17 hours ago.
 Activity
harperelisecallahan
@harperelisecallahan started using tool Node.js , 4 days, 17 hours ago.
 Activity
harperelisecallahan
@harperelisecallahan started using tool Magento , 4 days, 17 hours ago.
 Activity
harperelisecallahan
@harperelisecallahan started using tool Laravel , 4 days, 17 hours ago.
DeepSeekMath-V2 is a state-of-the-art mathematical reasoning model built on the DeepSeek-V3.2-Exp-Base architecture with 685 billion parameters. Unlike conventional math-focused language models that optimize only for correct final answers, DeepSeekMath-V2 introduces a self-verification framework where the model generates, inspects, and validates its own mathematical proofs.

This approach enables rigorous, step-by-step reasoning suitable for theorem proving, scientific research, and domains requiring high-integrity logic. The model is trained through a generation-verification loop involving a dedicated LLM-based verifier and reinforcement learning optimized for proof correctness rather than answer matching.

DeepSeekMath-V2 achieves gold-level scores on IMO 2025 and CMO 2024, along with a groundbreaking 118/120 on the Putnam 2024 contest. Released under the Apache 2.0 license and hosted on Hugging Face, it is fully open source for research and commercial use.