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multi-head latent attention

DeepSeek-Coder-V2: A Powerful and Permissive Open-Source Model for Code

Jun 17, 2024

AI, Code Language Model, Generative AI, LLM, Open Source

DeepSeek, DeepSeek License, DeepSeek-AI, DeepSeek-Coder-V2, DeepSeek-V2, DeepSeekMoE, Github, MIT, multi-head latent attention, Open Source

Okay! Today’s the time to explore a new model shaking up the world of code intelligence: DeepSeek-Coder-V2. The landscape is already buzzing with powerful large language models trained on vast codebases, revolutionizing how we write, understand, and debug code. However, much of the progress has been locked away in closed-source models, limiting access for many…
DeepSeek-V2: An Efficient and Economical Mixture-of-Experts Language Model

May 12, 2024

AI, Generative AI, LLM, Open Source

DeepSeek, DeepSeek License, DeepSeek-V2, DeepSeekMoE, Group Relative Policy Optimization, LLM, MIT, Mixture of Experts, MoE, multi-head latent attention, Reinforcement Learning, RoPE, SFT, Supervised Fine-Tuning

Large Language Models (LLMs) have revolutionized various fields, showcasing remarkable capabilities in understanding and generating human-like text. However, the increasing size of these models often comes with a significant computational cost, hindering their accessibility and deployment. DeepSeek-V2 (a cutting-edge, open-source language model built on the Mixture-of-Experts architecture) addresses this challenge by incorporating innovative architectural designs…

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