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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
| Date | Stars |
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| 2026-08-01 | 5023 |
| 2026-08-11 | 5026 |
| 2026-08-18 | 5031 |
| 2026-08-19 | 5034 |
| 2026-08-20 | 5034 |
| 2026-08-25 | 5035 |
| 2026-08-26 | 5038 |
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| 2026-09-02 | 5040 |
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| 2026-09-11 | 5038 |
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| 2026-10-21 | 5046 |
| 2026-10-24 | 5047 |
| 2026-10-25 | 5048 |
| 2026-10-26 | 5049 |
| 2026-10-27 | 5051 |
| 2026-10-28 | 5050 |
| 2026-10-29 | 5052 |
| 2026-11-01 | 5053 |
| 2026-11-03 | 5054 |
| 2026-11-04 | 5055 |
Today
+1 stars today
This week
+5 stars this week
This month
+13 stars this month
Momentum
0.0
growth rate 0.10%/day
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<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V2" />
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="https://www.deepseek.com/" target="_blank" style="margin: 2px;">
<img alt="Homepage" src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/badge.svg?raw=true" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://chat.deepseek.com/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/🤖%20Chat-DeepSeek%20V2-536af5?color=536af5&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://huggingface.co/deepseek-ai" target="_blank" style="margin: 2px;">
<img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-DeepSeek%20AI-ffc107?color=ffc107&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
</a>
</div>
<div align="center" style="line-height: 1;">
<a href="https://discord.gg/Tc7c45Zzu5" target="_blank" style="margin: 2px;">
<img alt="Discord" src="https://img.shields.io/badge/Discord-DeepSeek%20AI-7289da?logo=discord&logoColor=white&color=7289da" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/qr.jpeg?raw=true" target="_blank" style="margin: 2px;">
<img alt="Wechat" src="https://img.shields.io/badge/WeChat-DeepSeek%20AI-brightgreen?logo=wechat&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://twitter.com/deepseek_ai" target="_blank" style="margin: 2px;">
<img alt="Twitter Follow" src="https://img.shields.io/badge/Twitter-deepseek_ai-white?logo=x&logoColor=white" style="display: inline-block; vertical-align: middle;"/>
</a>
</div>
<div align="center" style="line-height: 1;">
<a href="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-CODE" style="margin: 2px;">
<img alt="Code License" src="https://img.shields.io/badge/Code_License-MIT-f5de53?&color=f5de53" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/LICENSE-MODEL" style="margin: 2px;">
<img alt="Model License" src="https://img.shields.io/badge/Model_License-Model_Agreement-f5de53?&color=f5de53" style="display: inline-block; vertical-align: middle;"/>
</a>
</div>
<p align="center">
<a href="#2-model-downloads">Model Download</a> |
<a href="#3-evaluation-results">Evaluation Results</a> |
<a href="#4-model-architecture">Model Architecture</a> |
<a href="#6-api-platform">API Platform</a> |
<a href="#8-license">License</a> |
<a href="#9-citation">Citation</a>
</p>
<p align="center">
<a href="https://arxiv.org/abs/2405.04434"><b>Paper Link</b>👁️</a>
</p>
# DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
## 1. Introduction
Today, we’re introducing DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical training and efficient inference. It comprises 236B total parameters, of which 21B are activated for each token. Compared with DeepSeek 67B, DeepSeek-V2 achieves stronger performance, and meanwhile saves 42.5% of training costs, reduces the KV cache by 93.3%, and boosts the maximum generation throughput to 5.76 times.
<p align="center">
<div style="display: flex; justify-content: center;">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/activationparameters.png?raw=true" style="height:300px; width:auto; margin-right:10px">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/trainingcost.png?raw=true" style="height:300px; width:auto; margin-left:10px">
</div>
</p>
We pretraiExcerpt of 20,221 characters
Read on GitHub
Fuli Luo
9
9
3
Chong Ruan · Peking University · China
3
Bo Liu
3
Yineng Zhang · United States
1
Ying Sheng · RadixArk · United States
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5ab1f82353099abf, desc:mixture of experts