# DeepSeek V2

DeepSeek V2: DeepSeek의 AI 모델, 가중치 공개, 최초 기록 2026-09-30, 출시일은 아직 미확인.

- 개발사: DeepSeek
- Id: deepseek-ai/DeepSeek-V2
- 보도 단계: 2026-11-13T05:25:29.000Z
- 발견: 2026-09-30T15:57:39.673Z
  - [근거 링크](https://huggingface.co/deepseek-ai/DeepSeek-V2)
- 상태: 출시됨
- 가중치 버전: 2024-05-06
  - [근거 링크](https://huggingface.co/api/models/deepseek-ai/DeepSeek-V2/paths-info/4461458f186c35188585855f28f77af5661ad489)
- 대표 URL: https://alexgetman.com/ko/models/deepseek/deepseek-v2/

## 자주 묻는 질문

### DeepSeek V2의 가중치는 공개되어 있나요?

네. DeepSeek에서 가중치를 공개합니다.

### DeepSeek V2의 출시일은 언제인가요?

출시일은 아직 확인되지 않았습니다. Signal Forge의 최초 기록일은 2026-09-30입니다.

## 타임라인

- 2026-11-13T18:47:56.425Z · [GitHub search · DeepSeek · pulls · Pb314314/vllm · @Pb314314](https://github.com/Pb314314/vllm/pull/35)
> CPU | No: these platforms use the generic DeepSeek-V2 implementation (`vllm/models/deepseek_v32/__init__.py:28-33`) | n/a | n/a | n/a |
- 2026-11-13T18:48:53.232Z · [GitHub search · DeepSeek · commits · daviesleslie4290/dav · @daviesleslie4290](https://github.com/daviesleslie4290/dav/commit/e3697eb725a3fa63825c889d5bcb95fef36a4f25)
> 本文聚焦DeepSeek-V2与GPT-4-turbo价格战背景下，开发者如何通过模型能力适配、混合推理架构、提示词工程重构及三维监控体系，实现成本-效果最优平衡。重点分析场景精度差异、部署架构陷阱、开源权重可控性优势，并提供CPVS计算公式、Hybrid Reasoning Pipeline设计、意图漂移率与token浪费率监控等关键技术实践，助力AI应用从实验走向高性价比生产落地。

## 근거 링크

- [GitHub search · DeepSeek · pulls · Pb314314/vllm · @Pb314314](https://github.com/Pb314314/vllm/pull/35)
- [GitHub search · DeepSeek · commits · daviesleslie4290/dav · @daviesleslie4290](https://github.com/daviesleslie4290/dav/commit/e3697eb725a3fa63825c889d5bcb95fef36a4f25)
- [hf-author-artifacts:deepseek-ai](https://huggingface.co/api/models/deepseek-ai/DeepSeek-V2/paths-info/4461458f186c35188585855f28f77af5661ad489)
- [huggingface:deepseek-ai](https://huggingface.co/deepseek-ai/DeepSeek-V2)

## 시그널