DeepSeek V2
DeepSeek
Timeline
- · Weights version · evidence link
- · Evidence links · GitHub search · DeepSeek · commits · daviesleslie4290/dav · @daviesleslie4290
Excerpt
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。
- · Evidence links · GitHub search · DeepSeek · pulls · Pb314314/vllm · @Pb314314
Excerpt
CPU | No: these platforms use the generic DeepSeek-V2 implementation (`vllm/models/deepseek_v32/__init__.py:28-33`) | n/a | n/a | n/a |
Specifications
DeepSeek V2 is a model from DeepSeek with open weights, first recorded on 30 Sep 2026; its release date is not established.
- Weights
- Open
Questions
Are the weights of DeepSeek V2 publicly available?
Yes. DeepSeek publishes the weights.
When was DeepSeek V2 released?
Its release date is not established. Signal Forge first recorded it on 30 Sep 2026.