2 days ago · DeepSeek LLM. Released in December 2023, this is the first version of the company's general-purpose model. DeepSeek-V2. ... DeepSeek-V3 uses a mixture-of-experts architecture, capable of handling a range of tasks. The model has 671 billion parameters with a context length of 128,000.

Jan 22, 2025 · DeepSeek LLM Explained. Key Features of DeepSeek. ... (MoE) architecture stands out for its ability to activate just 37 billion parameters during tasks, even though it has a total of 671 billion parameters. This approach ensures high performance while keeping costs in check [2]. Here's how DeepSeek-V3 performs on key benchmarks:

Introducing DeepSeek LLM, an advanced language model comprising 67 billion parameters. It has been trained from scratch on a vast dataset of 2 trillion tokens in both English and Chinese. ... DeepSeek LM models use the same architecture as LLaMA, an auto-regressive transformer decoder model. The 7B model uses Multi-Head attention (MHA) while ...

To achieve efficient inference and cost-effective training, DeepSeek-V3 adopts Multi-head Latent Attention (MLA) and DeepSeekMoE architectures, which were thoroughly validated in DeepSeek-V2.

This article provides an in-depth analysis of DeepSeek LLM, focusing on its architecture, training methodologies, reinforcement learning techniques, and performance evaluation across...

6 days ago · Popular interfaces for running an LLM locally on one’s own computer, like Ollama, already support DeepSeek R1. I had DeepSeek-R1-7B, the second-smallest distilled model, running on a Mac Mini M4 ...

Jan 27, 2025 · Their flagship offerings include its LLM, which comes in various sizes, and DeepSeek Coder, a specialized model for programming tasks. The company emerged in 2023 with the goal of advancing AI technology and making it more accessible to users worldwide. ... What sets DeepSeek apart is its: Model Architecture: It utilizes an optimized ...

DeepSeek-V3 on the Chinese SimpleQA benchmark, primarily due to its tendency to refuse answering certain queries after safety RL. Without safety RL, DeepSeek-R1 could achieve an accuracy of over 70%. DeepSeek-R1 also delivers impressive results on IF-Eval, a benchmark designed to assess a model’s ability to follow format instructions.

6 days ago · DeepSeek has said that it used around 2,000 H800 chips built by US chip-maker Nvidia to train DeepSeek-V3, a model it released in December 1 that outperforms OpenAI’s LLM GPT-4o, launched in May ...

Jan 5, 2024 · We delve into the study of scaling laws and present our distinctive findings that facilitate scaling of large scale models in two commonly used open-source configurations, 7B and 67B. Guided by the scaling laws, we introduce DeepSeek LLM, a project dedicated to advancing open-source language models with a long-term perspective.